Greenhouse Gas Emission Standards for Light-Duty Vehicles Manufacturer Performance Report Model Year Aston Martin Lotus McLaren Tesla Kia BYD Motors Toyota Honda Mazda Ford Subaru General Motors Mitsubishi Nissan Volkswagen BMW Fiat Chrysler Volvo Mercedes-Benz Suzuki Jaguar Land Rover Ferrari Hyundai Coda Fisker Porsche Aston Martin Lotus McLaren v>EPA United States Environmental Protection Agency EPA-420-R-18-002 January 2018 Tesla Kia BYD Motors Toyota Honda Mazda Ford Subaru General Motors Mitsubishi Nissan Volkswagen BMW Fiat Chrysler Volvo Mercedes-Benz ------- Greenhouse Gas Emission Standards for Light-Duty Vehicles Manufacturer Performance Report for the Model Year NOTICE: This technical report does not necessarily represent final EPA decisions or positions. It is intended to present technical analysis of issues using data that are currently available. The purpose in the release of such reports is to facilitate the exchange of technical information and to inform the public of technical developments. ------- Contents Executive Summary i 1. Introduction 1 A. Why Are We Releasing This Information? 1 B. What Data Are We Publishing? 2 C. How Can CO2 Emissions Credits Be Used? 5 D. Which Manufacturers and Vehicles Are Included in This Report? 6 1. Small Businesses 6 2. Small Volume Manufacturers 6 3. Operationally Independent Manufacturers 8 4. Aggregation of Manufacturers 8 2. Optional GHG Credits From 2009-2011 Model Years 10 3. Credits Reported From the 2012-2016 Model Years 14 A. "2-Cycle" Tailpipe CO2 Emissions 15 B. TLAAS Program Standards 18 C. Credits Based on Alternative Fuel Vehicles 23 1. Advanced Technology Vehicles 23 2. Compressed Natural Gas Vehicles 25 3. Gasoline-Ethanol Flexible Fuel Vehicles 25 D. Credits Based on Air Conditioning Systems 30 1. Air Conditioning Leakage Credits 34 2. Air Conditioning Efficiency Credits 38 E. Credits Based on "Off-Cycle" Technology 41 1. Off-Cycle Credits Based on the Menu 44 2. Off-Cycle Technology Credits Based on 5-Cycle Testing 50 3. Off-Cycle Technology Credits Based on an Alternative Methodology 51 F. Deficits Based on Methane and Nitrous Oxide Standards 52 G. 2016 Model Year Compliance Values 56 H. 2016 Model Year Footprint-Based CO2 Standards 61 I. Overall Compliance Summary 66 4. Credit Transactions 69 5. Compliance Status After the 2016 Model Year 72 Appendix A: Comparing Actual Performance to Rulemaking Projections 77 Appendix B: Vehicle Production Volume & Market Share 82 Appendix C: 2012-2015 Model Year Compliance Values 84 Appendix D: 2016 Model Year Report Credits and Deficits 96 ------- List of Tables and Figures Figure ES-1. Industry Performance versus Standards in 2012-2016 Model Years iii Figure ES-2. Manufacturer Performance and Standards in the 2016 Model Year iv Table ES-1. Credit Balances at Conclusion of the 2016 Model Year v Table 1-1. Aggregation of Manufacturers in the 2016 Model Year 9 Table 2-1. Total Reported Early Credits, by Manufacturer and Model Year 11 Table 2-2. Total Reported Early Credits, By Credit Category 12 Table 2-3. 2009 Model Year Credits Which Expired at End of Model Year 2014 13 Table 3-1. "2-cycle" Tailpipe CO2 Production-Weighted Fleet Average Emissions 17 Table 3-2. Production Volumes Assigned to TLAAS Standards 20 Table 3-3. Net Impact from Use of the TLAAS Program 22 Table 3-4. Production Volumes of Advanced Technology Vehicles Using Zero Grams/Mile Incentive 25 Table 3-5. Number of FFV Models by Manufacturer, 2012-2016 Model Years 28 Table 3-6. Production Volume of FFVs by Manufacturer, 2012-2016 Model Years 29 Table 3-7. Credits Accrued from Use of the FFV Incentives, 2012-2015 Model Years 30 Table 3-8. Reported A/C Credits by A/C Credit Type and Model Year 31 Table 3-9. Reported A/C Credits by Manufacturer, 2016 Model Year 32 Table 3-10. Net Impact of A/C Credits, 2012-2016 Model Years 33 Table 3-11. Production of Vehicles Using HFO-1234yf, 2013-2016 Model Years 35 Table 3-12. Reported A/C Leakage Credits by Manufacturer and Fleet, 2016 Model Year 36 Table 3-13. A/C Leakage Credits, 2012-2016 Model Years 37 Table 3-14. Reported A/C Efficiency Credits by Manufacturer and Fleet, 2016 Model Year 39 Table 3-15. A/C Efficiency Credits, 2012-2016 Model Years 40 Table 3-16. Reported Off-Cycle Technology Credits by Manufacturer and Fleet, 2016 Model Year 42 Table 3-17. Off-Cycle Technology Credits by Manufacturer and Fleet, 2012-2016 Model Years 43 Table 3-18. Reported Off-Cycle Technology Credits from the Menu 44 Table 3-19. Off-Cycle Technology Credits from the Menu by Technology, 2016 Model Year 47 Table 3-20. Percent of 2016 Model Year Vehicle Production Volume with Credits from the Menu 49 Table 3-21. Model Year 2016 Off-Cycle Technology Credits from the Menu 50 Table 3-22. Reported Off-Cycle Credits Based on 5-Cycle Testing for GM, by Model Year and Fleet 51 Table 3-23. Reported CFU and N2O Deficits by Manufacturer and Fleet, 2016 Model Year 54 Table 3-24. CFU Deficits by Manufacturer and Fleet, 2012-2016 Model Years 55 Table 3-25. N2O Deficits by Manufacturer and Fleet, 2012-2016 Model Years 55 Table 3-26. 2016 Compliance Values - Combined Passenger Car & Light Truck Fleet 57 Table 3-27. 2016 Compliance Values - Passenger Car Fleet 58 Table 3-28. 2016 Compliance Values - Light Truck Fleet 59 Table 3-29. 2012-2016 Model Year Compliance Values by Manufacturer and Fleet 60 Table 3-30. 2012-2016 Model Year CO2 Standards by Manufacturer and Fleet, 2012-2016 Model Years 63 Table 3-31. Average Footprint by Manufacturer and Fleet, 2012-2016 Model Years 65 Table 3-32. Performance & Credit Summary, 2012-2016 Model Years - Combined Cars and Trucks 66 Table 3-33. Performance & Credit Summary, 2012-2016 Model Years - Passenger Cars 67 Table 3-34. Performance & Credit Summary, 2012-2016 Model Years - Light Trucks 67 Table 3-35. 2016 Model Year Compliance Summary by Manufacturer and Fleet 68 Table 4-1. Cumulative Reported Credit Sales and Purchases 71 Table 5-1. Cumulative Credit Status After the 2016 Model Year 73 Table 5-2. Credits Available After the 2016 Model Year, Reflecting Trades & Transfers 76 Table A-l. Projected CO2 Performance in Rulemaking Analyses for the Combined Passenger Car and Light Truck Fleet 78 Table A-2. Projected CO2 Performance in Rulemaking Analyses for Passenger Cars 79 Table A-3. Projected CO2 Performance in Rulemaking Analyses for Light Trucks 79 Table A-4. Actual and Projected CO2 Values, Cars and Trucks Combined 81 ------- 81 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 Actual and Projected CO2 Values, Passenger Cars Actual and Projected CO2 Values, Light Trucks Vehicle Production Volume by Manufacturer and Vehicle Category, Last Three Years Vehicle Category Market Share by Manufacturer and Model Year 2012 Compliance Values - Combined Passenger Car & Light Truck Fleet 2012 Compliance Values - Passenger Car Fleet 2012 Compliance Values - Light Truck Fleet 2013 Compliance Values - Combined Passenger Car & Light Truck Fleet 2013 Compliance Values - Passenger Car Fleet 2013 Compliance Values - Light Truck Fleet 2014 Compliance Values - Combined Passenger Car & Light Truck Fleet 2014 Compliance Values - Passenger Car Fleet 2014 Compliance Values - Light Truck Fleet 2015 Compliance Values - Combined Passenger Car & Light Truck Fleet 2015 Compliance Values - Passenger Car Fleet 2015 Compliance Values - Light Truck Fleet 2016 Model Year Reported Credits and Deficits ------- Executive Summary Background On May 7, 2010, the Environmental Protection Agency (EPA) and the National Highway Traffic Safety Administration (NHTSA) issued a joint Final Rule to establish the first phase of a National Program with new standards for 2012 to 2016 model year light-duty vehicles that reduce greenhouse gas (GHG) emissions and improve fuel economy. These standards apply to passenger cars, light-duty trucks, and medium-duty passenger vehicles. Subsequently, on October 15, 2012, EPA and NHTSA issued standards for GHG emissions and fuel economy of light-duty vehicles for model years 2017-2025, building on the first phase of the joint National Program. EPA is releasing this report as part of our continuing commitment to provide the public with transparent and timely information about manufacturers' compliance with the GHG program.1 This report supersedes previous reports and details manufacturers' performance towards meeting GHG standards in the 2016 model year, the fifth and final year of the first phase of the EPA GHG standards. This report includes data through the end of the 2016 model year. Some values from previous model years may have changed based on changes or corrections to the historical data.2 The following figure illustrates the process and the inputs that determine a manufacturer's compliance with the light-duty vehicle GHG emission standards. Every manufacturer starts at the same place: by measuring the CO2 tailpipe emissions performance of their vehicles using EPA's City and Highway test procedures (referred to as the "2-cycle" tests). Then they may choose to apply a variety of optional technology-based credits to further reduce their fleet GHG emissions compliance value. The 2-cycle tailpipe CO2 value, when reduced by the net grams per mile equivalent of the optional credits, determines a manufacturer's model year performance and whether credits or deficits are generated by a manufacturer's model year fleet. It is important to note that the Department of Justice, on behalf of EPA, alleged violations of the Clean Air Act by Fiat Chrysler Automobiles based on the sale of certain 2014 through 2016 model year vehicles equipped with devices that defeat the vehicles' emission control systems. In addition, the Department of Justice and EPA have reached a settlement with Volkswagen over the use of defeat devices for certain 2009 through 2016 model year vehicles. In this report, EPA uses the CO2 emissions and fuel economy data from the initial certification of these vehicles. Should the investigation and corrective actions yield different CO2 and fuel economy data, any relevant changes will be used in future reports. For more 1 Relevant information on the CAFE program can be found on the NHTSA website at NHTSA's CAFE Public Information Center: http://www.nhtsa.gov/CAFE PIC/CAFE PIC Home.htm. 2 This report summarizes data as it was reported to EPA by the manufacturers and does not necessarily represent final EPA decisions or positions regarding the data or the compliance status of manufacturers. ------- information on actions to resolve these alleged violations, see www.epa.gov/vw and www.epa.gov/fca. Process for Determining a Manufacturer's Compliance Status 2-Cycle Tailpipe C02 Credits Alternative Fuel Vehicles Air Conditioning Off-Cycle Deficits Methane & Nitrous Oxide Deficits Overall Model Year Performance * Prior Model Year ® CrprlrK A D#»firit«; Tran<:artinn<: ¦h M Future Credits & Deficits Current Compliance Status Future Credit Transactions Final Compliance Individual model year performance, however, does not directly determine model year compliance or non-compliance. Manufacturers with deficits in a model year may use credits carried over from a previous model year to offset a deficit. They may also purchase credits from another manufacturer. Manufacturers with a deficit at the conclusion of a model year may also carry that deficit forward into the next model year. Manufacturers must, however, offset any deficit within three years after the model year in which it was generated to avoid enforcement action. After considering these additional credits and deficits, EPA determines a manufacturer's current compliance status. For example, a manufacturer with a deficit remaining from model year 2013 after the 2016 model year would be considered out of compliance with the 2013 model year standards. As this report will show, there are no manufacturers that ended 2016 in this position. No manufacturer is yet out of compliance with the GHG program in any of these first five model years; their performance in subsequent years, and whether deficits can be successfully offset using future credits (either generated or acquired) will ultimately determine final compliance. - II ------- IThe auto industry generated a GHG deficit in the 2016 model year, but all major manufacturers comply with the 2016 standards, with some companies using credits from prior years. Overall industry performance in model year 2016 was 9 grams/mile higher than required by the 2016 GHG emissions standard. This makes 2016 the first model year in which the industry generated a GHG emissions deficit, after generating credits in each of the first four years of EPA's program. The increases in stringency in the standards in the 2015 and 2016 model years were the largest increases in the first phase of EPA's GHG program; since the 2014 model year the standards have decreased by 24 grams/mile. The standards were intentionally structured with this progression of increasing stringency, as explained in the rulemaking. A contributing factor to the 9 gram/mile industry-wide gap between performance and the standard in the 2016 model year was the expiration of flexible fuel vehicle credits. Due to the credits accumulated in the previous four years and early credits generated by some manufacturers in the 2009-2011 model years, some of which were used to offset the 2016 deficit, the industry as a whole does not face any non-compliance issues in the 2016 model year. See Section 3 for more detail on these values. Figure ES-1. Industry Performance versus Standards, 2012-2016 Model Years 310 jj E 300 290 280 1299 | • 03 270 ID X U? 260 250 240 •- 1292 | • Standard Performance 2012 2013 2014 2015 Model Year 2016 - iii - ------- Eight out of the thirteen largest manufacturers generated deficits relative to their 2016 model year standards, but used credits from previous model years to comply. Unlike the previous four years, in which generating credits was the norm, most large manufacturers (with sales greater than 150,000 vehicles) generated deficits in the 2016 model year. Five of the thirteen manufacturers reported beating their standard, with compliance margins ranging from 16 grams/mile (Honda) to 1 gram/mile (Hyundai). The remaining eight generated deficits against their standard due to fleet GHG emissions that were higher than the standard by amounts ranging from 10 grams/mile (Toyota) to 28 grams/mile (FCA). Note that the figure below does not include the impact of credit transfers reported from prior model years (within a company) or reported credit trades (transactions between companies), and thus does not portray whether or not a manufacturer has complied with the 2016 model year standards. In fact, the manufacturers that generated a 2016 model year GHG deficit have reported sufficient credits available from prior model years to be able to offset that deficit and thus achieve compliance with their respective 2016 model year standards. More detail about model year 2016 performance is provided in Section 3. Figure ES-2. Manufacturer Performance and Standards in the 2016 Model Year 320 Standard Performance Shown in order of decreasing standards * FCA and Volkswagen are subjects of an ongoing investigation and/or corrective actions. These data are based on initial certification data provided to EPA, and are included in industry-wide, "Fleet Total", or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. Note: Rounding may result in differences between charts and tables and the values reported in the text. . iv - ------- 3 All large manufacturers concluded Phase 1 of EPA's GHG standards meeting the standards and with substantial credits available to use through 2021. The majority of manufacturers, representing 99 percent of 2016 model year U.S. sales, have reported compliance with the standards for the 2012-2016 model years. In fact, 19 of 21 manufacturers are reporting a non-negative credit balance going into the 2017 model year, meaning that these manufacturers have met the standards in all of the 2012-2016 model years (credits cannot be carried forward if a deficit exists in a prior model year). Manufacturers are allowed to carry deficits forward for three model years. Thus, a manufacturer with a deficit from the 2016 model year (such as Volvo) must offset that deficit by the end of the 2019 model year, or be subject to possible enforcement action. All manufacturers that initially reported a deficit in the 2012-2013 model years have successfully offset that deficit, thus no manufacturer is in a position of non-compliance for any model year at the end of the 2016 model year. The makeup of these credit and deficit balances is tracked by model year "vintage" as explained in Section 5. Table ES-1. Credit Balances After the 2016 Model Year (Mg)3 (including credit transfers & trades)4 Manufacturer Credits Carried to 2017 Manufacturer Credits Carried to 2017 Toyota 78,078,963 Mercedes 2,991,505 Honda 36,024,476 Mitsubishi 1,755,470 Nissan 26,682,834 Suzuki* 428,242 Ford 22,084,139 Karma Automotive* 58,852 Hyundai 20,583,544 BYD Motors* 4,824 GM 19,666,700 Tesla 576 Subaru 14,498,843 Volvo (9,218) Mazda 9,424,551 Jaguar Land Rover (1,387,781) Kia 6,011,615 FCAf 19,217,792 BMW 3,202,342 Volkswagenf All Manufacturers 261,759,183 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. *Although these companies produced no vehicles for the U.S. market in the most recent model year, the credits generated in previous model years continue to be available. 3 The Megagram (Mg) is a unit of mass equal to 1000 kilograms. It is also referred to as the metric ton or tonne. 4 This table does not include unused credits from the 2009 model year, which expired at the end of the 2014 model year. See Section 2 for more information. - V - ------- 1. Introduction A. Why Are We Releasing This Information? We are releasing this report as part of our continuing commitment to provide the public with transparent and timely information about manufacturers' performance under EPA's GHG program. In the two regulatory actions that established new GHG emissions and fuel economy standards for light-duty vehicles, EPA and NHTSA committed to making certain information public regarding the compliance of automobile manufacturers with the CO2 and fuel economy standards.5'0 This report is the fifth such report released regarding EPA's GHG program. Because of changes that propagate back to prior model years, such as the buying and selling of credits by manufacturers, prior reports should be considered obsolete and are superseded by this report. When EPA and NHTSA issued the proposed rule for the 2012-2016 model year CO2 and fuel economy standards, the proposal received considerable comment about the need for transparency regarding implementation of the program, and specifically, regarding compliance determinations.7 Many comments emphasized the importance of making GHG compliance information publicly available to ensure such transparency. This was also the case with the proposal for 2017-2025 model year GHG standards, in which we reiterated our commitment to the principle of transparency and to disseminating as much information as we are reasonably, practically, and legally able to provide.8 In response to the comments on the proposed rule for 2012-2016 model year standards we noted that our public release of data could include "...GHG performance and compliance trends information, such as annual status of credit balances or debits, use of various credit programs, attained fleet average emission levels compared with standards, and final compliance status for a model year after credit reconciliation occurs" and that we would "...reassess data release needs and opportunities once the program is underway."9 In the final rule for model years 2017-2025, we also committed to expanding the information we release regarding GHG program compliance, noting in the preamble that "...EPA intends to publish the applicable fleet average standards (for cars and for trucks) and the actual fleet performance for each manufacturer, and the resulting credits or debits." Further, we stated that we anticipate publishing "...the amount of credits generated by each 5 A comprehensive description of the EPA GHG program is beyond the scope of this document, thus readers should consult the regulatory announcements and associated technical documents for a detailed description of the program. 6 NHTSA now provides information to the public regarding fuel economy compliance through a web-accessible public information center. See https://one.nhtsa.gov/cafe_pic/CAFE_PIC_Home.htm. 7 Proposed Rulemaking to Establish Light-Duty Vehicle Greenhouse Gas Emission Standards and Corporate Average Fuel Economy Standards, Proposed Rule, Federal Register 74 (28 September 2009): 49454-49789. 8 2017 and Later Model Year Light-Duty Vehicle Greenhouse Gas Emissions and Corporate Average Fuel Economy Standards, Final Rule, Federal Register 77 (15 October 2012): 62889. 9 Light-Duty Vehicle Greenhouse Gas Emission Standards and Corporate Average Fuel Economy Standards, Final Rule, Federal Register 75 (7 May 2010): 25469. -1- ------- manufacturer (separately for each of the car and truck fleets) under the optional credit programs, and the associated volumes of vehicles to which those credits apply." We also suggested that we would likely publish credit transactions, as well as the overall credit or debit balance for each manufacturer after taking into account the credit and debit carry- forward provisions and any credit transactions. In addition to this and prior reports, we continue to release a considerable amount of information regarding fuel economy, emissions, and vehicle characteristics for each vehicle model. For example, starting with the 2013 model year, the downloadable data available at fueleconomy.gov includes CO2 emission values for each vehicle model. In addition, we release actual vehicle emission test results on the Office of Transportation and Air Quality website, as well as detailed information on long-term industry-wide CO2, fuel economy, and technology trends since model year 1975.10 This latter report does not contain formal compliance data, but rather focuses on EPA's best estimates of real world CO2 emissions and fuel economy. B. What Data Are We Publishing? The EPA GHG program requires compliance with progressively more stringent GHG standards for the 2012 through 2025 model years. The program includes certain flexibilities, several of which were designed to provide sufficient lead time for manufacturers to make technological improvements and to reduce the overall cost of the program, without compromising overall environmental objectives. The 2016 model year is the fifth year manufacturers have been subject to the standards. This report makes comparisons across the five complete model years of the GHG program where appropriate. This report contains updated data for previous model years and supersedes previous reports regarding manufacturer compliance with EPA's GHG program. The manufacturer-reported 2016 model year data which form the basis for this report was required to be submitted to EPA by May 1 of 2017.11 The data reported by each manufacturer includes the calculated manufacturer-specific footprint-based CO2 standard for each vehicle category (car and truck), the actual fleet-average tailpipe performance for each vehicle category, the quantity of optional credits (e.g., based on air conditioning or off-cycle technology improvements), credit transfers within a manufacturer between car and truck fleets, credit trades between manufacturers, if applicable, and all the data necessary to calculate these reported values. The data being reported is subject to change due to future EPA approvals of "off-cycle" technology credits, credit transactions, correction of errors discovered by manufacturers or by EPA, or the results of other EPA investigations or actions. This report does not represent a final approval or validation of credits reported to EPA by manufacturers. 10 See https://www.epa.gov/compliance-and-fuel-economv-data/data-cars-used-testing-fuel-economv and https://www.epa.gov/fuel-economv-trends. 11 See 40 CFR 600.512-12. -2- ------- This report first updates and summarizes the credits reported by manufacturers under the early credit provisions, and then summarizes the data reported by manufacturers for the 2012-2016 model years in a variety of ways. This includes separately detailing manufacturers' reported use of the flexibilities included in the program (e.g., credits for air conditioning improvements or reduced "off-cycle" emissions), as well as the credit transactions between manufacturers. Vehicle and fleet average compliance for EPA's GHG program is based on a combination of CO2, hydrocarbons, and carbon-monoxide emissions (i.e., the carbon-containing exhaust constituents). This is consistent with the carbon balance methodology used to determine fuel consumption for the vehicle labeling and CAFE programs. The regulations account for these total carbon emissions appropriately and refer to the sum of these emissions as the "carbon-related exhaust emissions," or "CREE." The carbon-containing emissions are combined on a COz-equivalent basis to determine the CREE value, i.e., adjusting for the relative carbon weight fraction of each specific emission constituent. Although the regulatory text uses the more accurate term "CREE" to represent the COz-equivalent sum of carbon emissions, the term CO2 is used as shorthand throughout this report as a more familiar term for most readers. The CO2 standards in EPA's GHG program and the related compliance values in this report differ from the CO2 values reported in EPA's "Trends" report or on new vehicle fuel economy labels.12 The Trends report presents CO2 and fuel economy values that are based on EPA's label methodology, which is designed to provide EPA's best estimate of the fuel economy and GHG emissions that an average driver will achieve in actual real-world driving. EPA's CO2 standards, like the CAFE standards, are not adjusted to reflect real world driving. Instead, the GHG standards and compliance values are based on the results achieved on EPA's city and highway tests, weighted 55 and 45 percent, respectively. These tests are conducted under ideal driving conditions and do not reflect a number of driver and environmental conditions that impact real world fuel economy. Results from these two tests are commonly referred to as the "2-cycle" test procedures, in that they are based on weighted results from two unique driving cycles. The CO2 values that appear in the Trends report and on the EPA fuel economy window stickers will be about 25 percent higher than those in this report, and are based on what is frequently referred to as the "5-cycle" methodology, because the results are based on five different test procedures. The 5-cycle methodology includes tests that capture the impacts of aggressive driving, cold temperatures, and hot temperatures with air conditioning operating, among other factors. None of these factors are reflected in the 2- cycle tests used to determine compliance with CAFE and GHG standards. Credits are expressed throughout this report in units of Megagrams (Mg), which is how credits are reported to EPA by the manufacturers.13 Further, compliance is ultimately 12 "Light-Duty Automotive Technology, Carbon Dioxide Emissions, and Fuel Economy Trends: 1975 through 2016. U.S. EPA-420-R-16-010, Office of Transportation and Air Quality, November 2016. See https://www.epa.gov/fuel-economy- trends. 13 The Megagram (Mg) is a unit of mass equal to 1000 kilograms. It is also referred to as the metric ton or tonne. -3- ------- determined based on the balance of Megagrams of credits and/or deficits for a given model year, after accounting for credit transfers and trades. In order to present the impact of these credits in terms that might be more understandable and are comparable equitably across manufacturers, we calculate and present a grams per mile equivalent value where possible (see inset on this page for the methodology used to convert Megagrams to grams per mile).14 Where such a value in a table applies to a specific manufacturer, the grams per mile value represents the impact of credits on the fleet of that specific manufacturer, whereas the final Fleet Total row displays the grams per mile impact of the total credits across the entire model year fleet of cars, trucks, or combined fleet, whichever may be applicable. Finally, this report does not attempt to summarize or explain all of the elements or details of EPA's GHG program. Readers should consult EPA's final regulations and supporting documents for additional information. Two manufacturers in this report, FCA and Volkswagen, are affected by on-going investigations and/or corrective actions related to alleged violations of the Clean Air Act resulting in excess emissions of oxides of nitrogen (NOx). Oxides of nitrogen emissions are not directly related to tailpipe CO2 emissions or fuel economy. In this report, EPA uses the CO2 emissions data from the initial certification of these vehicles. Should the investigation and corrective actions yield different CO2 data, any relevant changes will be used in future reports. In 2016 and 2017, the Department of Justice, on behalf of EPA, has resolved a civil enforcement case, through a series of three partial settlements, against Volkswagen AG, Audi AG, Dr. Ing. h.c. F. Porsche AG, Volkswagen Group of America, Inc., Volkswagen 14 The quantity of Megagrams generated by a manufacturer is based on production volume, thus, larger manufacturers will produce larger balances of credits or deficits. Because of the connection to production volume, comparing Megagrams across manufacturers isn't meaningful, e.g., a higher volume of credits in Megagrams does not necessarily indicate better performance relative to the standard relative to other manufacturers with fewer credits. How We Determine a Grams per Mile Equivalent from Megagrams (Metric Tons) of Credits and Deficits The Megagrams (Mg) of credits or deficits reported to EPA are determined from values expressed in grams per mile. For example, fleet average credits/deficits are based on the difference between the fleet standard and the fleet average performance, each of which is expressed in grams per mile. The general form of the equation is: Credits [Mg] = ( C02 x VMT x Production ) / 1,000,000 "C02" represents the credit in grams per mile. "VMT" represents the total lifetime miles, which we specified in the regulations as 195,264 miles for cars and 225,865 for trucks. "Production" represents the production volume to which the C02 credit applies. The C02-equivalent of a credit value expressed in Mg is derived by reversing the equation as follows: CO2 [g/mi] = ( Credits[Mg] x 1,000,000 ) / ( VMT x Production ) When using this equation to calculate C02 grams per mile for aggregate car and truck credits, we use a weighted average of the car and truck VMT values. For example, for the entire 2016 model year fleet covered by this report, the weighted VMT is 208,946 miles. The weighting is by the proportion of cars or trucks relative to the total fleet. The weighting may be applied on a manufacturer-specific basis or across the entire fleet, depending on the data presented in each table. Unless specifically stated, this is always the source of combined car/truck fleet values in this report. -4- ------- Group of America Chattanooga Operations, LLC, and Porsche Cars North America, Inc. (collectively referred to as Volkswagen). Subject to their reservations, these settlements resolve allegations that Volkswagen violated the Clean Air Act with the sale of certain model year 2009-2016 diesel vehicles equipped with defeat devices in the form of computer software designed to cheat on federal emissions tests. The complaint alleged that during normal vehicle operation and use, the cars emit levels of oxides of nitrogen (NOx) significantly in excess of the EPA compliant levels. For more information, see www.epa.gov/vw. New fuel economy and CO2 data is available for some vehicles that have been modified under the VW consent decree; however, this report does not reflect these revisions. Any relevant changes will be addressed in future reports. In 2017, the Department of Justice, on behalf of EPA, filed a civil complaint against FCA US LLC, Fiat Chrysler Automobiles N.V., V.M. Motori S.p.A., and V.M. North America, Inc. (collectively referred to as FCA). The complaint alleges that certain diesel vehicles are equipped with software functions that were not disclosed to regulators during the certification application process, and that the vehicles contain defeat devices. The complaint alleges that the undisclosed software functions cause the vehicles' emission control systems to perform differently, and less effectively, during certain normal driving conditions than on federal emission tests, resulting in increased oxides of nitrogen (NOx) emissions. For more information on actions to resolve these violations, see www.epa.gov/fca. Because the FCA and Volkswagen diesels account for less than 1% of industry production, updates to the emissions rates, whether they are higher or lower, will not change the broader trends characterized in this report. Should the investigations and corrective actions yield different CO2 data, any relevant changes will be addressed in future reports. C. How Can CO2 Emissions Credits Be Used? The ability to earn and bank credits, including early credits, is a fundamental aspect of the program's design, intended to give manufacturers flexibility in meeting the 2012-2016 model year standards, as well as to aid in the transition to the progressively more stringent standards in the 2017-2025 model years. Credits represent excess emission reductions that manufacturers achieve beyond those required by regulation under EPA's program. Credit banking, as well as emissions averaging and credit trading (collectively termed "Averaging, Banking, and Trading", or "ABT") have been an important part of many mobile source programs under the Clean Air Act. These programs help manufacturers in planning and implementing the orderly phase-in of emissions control technology in their production, consistent with their unique redesign schedules. These provisions are an integral part of the standard-setting itself, and not just an add-on to help reduce costs. In many cases, ABT programs address issues of cost or technical feasibility which might otherwise arise, allowing EPA to set a standard that is more stringent than could be achieved without the flexibility provided by ABT programs. EPA believes that the net effect of the ABT provisions allows additional flexibility, encourages earlier introduction of emission reduction technologies than might otherwise occur, and does so without reducing the overall effectiveness of the program. -5 - ------- Credits (or deficits) are calculated separately for cars and trucks. If a manufacturer reports a net deficit in either the car or truck category, existing credits must be applied towards that deficit. Although a deficit may be carried forward up to three years, under no circumstances is a manufacturer allowed to carry forward a deficit if they have credits available with which to offset the deficit. If credits remain after addressing any deficits, those credits may be "banked" for use in a future year, or sold or otherwise traded to another manufacturer. Credits earned in the 2010 through 2015 model years may be carried forward and used through the 2021 model year. Credits from the 2009 model year and 2016 and later model years may only be carried forward for five years. Thus, any early credits from the 2009 model year still held by a manufacturer after the 2014 model year have expired and have been removed from the manufacturer's credit bank. D. Which Manufacturers and Vehicles Are Included in This Report? The vast majority of manufacturers producing cars and light trucks for U.S. sale are currently covered by EPA's GHG program and are included in this report. Small businesses are exempted from the GHG program (but not from the CAFE program), and there are other manufacturers included in this report with unique circumstances, as explained below. The report generally uses the common and recognizable names for manufacturers, rather than their formal corporate names; "GM" instead of "General Motors Corporation," "FCA" instead of "Fiat Chrysler Automobiles," "Ford" instead of "Ford Motor Company," Mercedes" instead of "Mercedes-Benz," and so on. Finally, the company formally known as Fisker has changed ownership and has reemerged as Karma Automotive. Karma did not produce any vehicles in the 2016 model year, but the new ownership retains the credits from Fisker vehicles sold in the 2012 model year. 1. Small Businesses Small businesses are exempt from EPA's GHG standards given that these businesses would face unique challenges in meeting the standards. However, the program allows small businesses to waive their exemption and voluntarily comply with the GHG standards. For example, a small manufacturer of electric vehicles could choose to comply if they were interested in generating GHG credits and potentially participating in the credit market. For the purpose of this exemption, a small business is defined using the criteria of the Small Business Administration (SBA). For vehicle manufacturers, SBA's definition of a small business is any firm with less than 1,500 employees. These businesses account for less than 0.1 percent of the total car and light truck sales in the U.S., thus this exemption has a negligible impact on overall GHG reductions. 2. Small Volume Manufacturers Similar to small businesses, some very small volume manufacturers (i.e., manufacturers with limited product lines and production volumes that do not meet the SBA definition of a small business) would likely find the GHG standards to be extremely challenging and -6- ------- potentially infeasible. Given the unique feasibility issues faced by these manufacturers, EPA deferred establishing CO2 standards for model years 2012-2016 for manufacturers with annual U.S. sales of less than 5,000 vehicles.15 To be eligible for deferment in each model year, a manufacturer must demonstrate a good faith effort to attempt to secure GHG credits to the extent credits are reasonably available from other manufacturers. Credits, if available, would be used to offset the difference between a company's baseline emissions and what their obligations would be under the GHG footprint-based standards. Three manufacturers - Aston Martin, Lotus, and McLaren - requested and received a conditional exemption for the 2012 model year. Because the 2012 model year was the first model year of the program, and because companies seeking conditional exemptions were required to submit their requests to EPA prior to the start of the 2012 model year, it is not surprising that a credit market had not yet developed, despite inquiries made by these three companies of manufacturers that were holding credits. The only manufacturers with any credits at the time were those with optional early credits, and most were likely awaiting the conclusion of the 2012 model year to better evaluate their ability to sell credits. Because of their conditionally exempt status for the 2012 model year, these three manufacturers were not included in EPA's report that covered that model year.10 Since then, however, we have seen a number of credit transactions take place, as described in Section 4 of this report. As a consequence, EPA expects small volume manufacturers may be able to purchase credits and use them to comply with the standards in the 2013 and later model years. No conditional exemptions were approved for the 2016 model year. Small volume manufacturers may continue to make use of certain flexibilities the program provides for this category of manufacturers, including temporary relaxed standards and the ability to petition EPA for alternative standards. Acknowledging the greater challenge that small volume manufacturers might face in meeting CO2 standards compared to large manufacturers because they only produce a few vehicle models, EPA proposed and finalized a pathway allowing them to apply for alternative GHG emissions standards applicable to the 2017 and later model years.17 Small volume manufacturers with annual U.S. sales of less than 5,000 vehicles may apply for alternative standards for up to five model years at a time, and the standards that EPA establishes for model year 2017 may optionally be met by the manufacturers in the 2015 and 2016 model years. Four manufacturers have applied for alternative standards: Aston Martin, Ferrari, Lotus, and McLaren. Because of the likelihood that these manufacturers will choose to meet the alternative standards in the 2015 and 2016 model years, and because a final determination of those standards has not been made by EPA, the data from these 15 The deferment applies only to the fleet average C02 standards; these manufacturers are required to meet the applicable nitrous oxide (N20) and methane (CH4) emission standards. 16 Conditional exemptions are available only through the 2016 model year, after which manufacturers must comply with the GHG program standards or petition EPA for alternative manufacturer-specific GHG standards. The three manufacturers noted here have already submitted applications requesting alternative standards, and EPA is in the process of reviewing those applications. 17 2017 and Later Model Year Light-Duty Vehicle Greenhouse Gas Emissions and Corporate Average Fuel Economy Standards, Final Rule, Federal Register 77 (15 October 2012): 62889. -7- ------- manufacturers have been excluded from this report. A future edition of this report will present the data from these four companies once the applicable standards are established and a valid credit balance can be reported.18 3. Operationally Independent Manufacturers Some manufacturers, even though they may be wholly or largely owned by another manufacturer, may consider themselves to be "operationally independent" from the company that owns them. EPA's GHG program contains provisions that allow these manufacturers to seek separate and independent treatment under the GHG standards, rather than be considered as part of their parent company. Manufacturers wishing to obtain operationally independent status are required to submit very detailed information to EPA regarding their business structure, financial operations, manufacturing operations, and management structure. The information in an application for operationally independent status must also be verified by an independent third party qualified to make such evaluations. Ferrari, which was owned by FCA during the 2015 model year, petitioned EPA for operationally independent status, and EPA granted this status to Ferrari starting with the 2012 model year.19 As an operationally independent manufacturer in model year 2016 with a low U.S. sales volume (1852 cars in the 2016 model year), Ferrari has the same options as the three small volume manufacturers discussed above. However, Ferrari is not included in this report for reasons described above. 4. Aggregation of Manufacturers We refer throughout this report to the names of manufacturers at the highest aggregated level, and it may not necessarily be readily apparent who owns whom and which brands, divisions, subsidiaries, or nameplates are included in the results of a given manufacturer. Table 1-1 shows how manufacturers are aggregated based on the ownership relationships and vehicle partnerships in the 2016 model year. Many other manufacturers are covered in the report, but their names and brands are self-explanatory and thus are not shown in Table 1-1. 18 The regulations specify the requirements for the supporting technical data and information that a manufacturer must submit to EPA as part of its application. The process for considering such applications includes a draft determination published by EPA followed by a public comment period of 30 days after which EPA will issue a final determination establishing alternative standards for the manufacturer. 19 FCA announced in October 2014 the intention to spin off Ferrari into a separate, shareholder-owned company. At the time of writing this report, the spin-off has been complete for more than a year. -8- ------- Table 1-1. Aggregation of Manufacturers Manufacturer Manufacturers and Brands Included in U.S. Market BMW FCA Ford GM Honda Jaguar Land Rover Mercedes Nissan Toyota Volkswagen BMW, Mini, Rolls-Royce Alfa Romeo, Chrysler, Dodge, Fiat, Jeep, Maserati, Ram Ford, Lincoln Buick, Cadillac, Chevrolet, GMC Acura, Honda Jaguar, Land Rover Maybach, Mercedes-Benz, Smart Infiniti, Nissan Lexus, Scion, Toyota Audi, Bentley, Bugatti, Lamborghini, Porsche, Volkswagen In 2009, Volkswagen acquired 49.9 percent of Porsche, and in 2012 purchased the remaining 51.1 percent, resulting in Volkswagen's full ownership of Porsche. EPA regulations allow for a reasonable transition period in the case of mergers such as this, requiring that Volkswagen AG (including Porsche) meet the GHG standards as a single entity "beginning with the model year that is numerically two years greater than the calendar year in which the merger/acquisitions(s) took place." This means that Porsche was considered a separate entity under the GHG program for the 2012 and 2013 model years, but beginning with the 2014 model year has been considered part of Volkswagen AG and included in the Volkswagen fleet for compliance purposes. Additionally, the company formerly known as Fisker has undergone some ownership changes and is now known as Karma Automotive. Karma did not produce any vehicles in the 2016 model year, but they appear in this report because the credits generated in the 2012 model year by then Fisker are now held by Karma and continue to be carried forward under the new ownership. -9- ------- 2. Optional GHG Credits From 2009-2011 Model Years One of the flexibilities in the GHG program is an optional program that allowed manufacturers with superior greenhouse gas emission reduction performance to generate credits in the 2009-2011 model years. Because this was an optional program, without any compliance implications in these early model years, only those manufacturers that achieved emissions performance beyond that required by existing California or CAFE standards chose to provide data; thus the data does not include information for all manufacturers. Also included in the data in this section are off-cycle credits approved by EPA; see Section 3.E for more information regarding these credits. Early credits were earned through tailpipe CO2 reductions, improvements to air conditioning systems that reduce refrigerant leakage or improve system efficiency, off-cycle credits for the implementation of technologies that reduce CO2 emissions over driving conditions not captured by the "2-cycle" test procedures, and introduction of advanced technology vehicles (i.e., electric, fuel cell, and plug-in hybrid electric vehicles). The optional early credits program allowed manufacturers to select from four pathways that provided opportunities for early credit generation through over-compliance with a fleet average CO2 level specified by EPA in the regulations. Manufacturers wishing to earn early credits selected one of these four pathways, and the selected pathway was followed for the three model years of 2009-2011. Since EPA's GHG standards did not begin until model year 2012, EPA established tailpipe CO2 thresholds below which manufacturers were able to generate early fleet average credits. For two of the pathways, the tailpipe emission levels below which credits were available were equivalent to the GHG standards established by California prior to the adoption of the EPA GHG program. Two additional pathways included tailpipe CO2 credits based on over-compliance with CO2 levels equivalent to the CAFE standards in states that did not adopt the California GHG standards. In March of 2013, EPA released a report documenting manufacturers' use of the early credit provisions allowed under the GHG program (the "early credits report").20 Table 2-1 summarizes the credits (or deficits) reported by manufacturers in each of the three model years for each participating manufacturer and shows the total net early credits for each manufacturer. The early credits program required that participating manufacturers determine credits for each of the three model years under their selected pathway, and that they carry forward their net credits from the three early years to apply to compliance with EPA's GHG standards in the 2012 and later model years. Thus, even manufacturers with a deficit in one or more of the early model years, (i.e., their tailpipe CO2 performance was worse than the applicable emissions threshold under the selected pathway) could benefit from the early credits program if their net credits over the three years was a positive value. Manufacturers not listed in Table 2-1 chose not to participate in the early credits program. 20 Greenhouse Gas Emission Standards for Light-Duty Automobiles: Status of Early Credit Program for Model Years 2009-2011, Compliance Division, Office of Transportation and Air Quality, U.S. Environmental Protection Agency, Report No. EPA-420-R-13-005, March 2013. -10- ------- Additionally, this table is intended to show the credits reported by manufacturers in these years and does not include the impacts of any credit banking or trading on credit balances. In particular, the sale of some early credits by some manufacturers (see Section 4), while not shown in Table 2-1, impacts the available credit balances of the manufacturers involved in such transactions, as has the use of early credits to offset future model year deficits. Further, while credits from the 2009 model year may be used for compliance in 2014, any remaining unused 2009 model year credits expired after model year 2014 and were not carried forward into the 2015 or later model years. Table 2-2 shows the total early credits reported by each participating manufacturer, broken down by the type of credit reported. Note that the early credits program did not include credits for flexible fuel vehicles, whereas these credits are permitted in the 2012-2015 model years. Table 2-1. Reported Early Credits, by Manufacturer and Model Year (Mg) Manufacturer 2009 2010 2011 Total BMW 512,973 359,131 379,418 1,251,522 Ford 8,358,440 7,438,264 319,749 16,116,453 GM 13,009,374 11,455,325 1,045,858 25,510,557 Honda 14,133,353 14,182,429 7,526,552 35,842,334 Hyundai 4,605,933 5,388,593 4,012,969 14,007,495 Kia 3,134,775 2,651,872 4,657,545 10,444,192 Mazda 1,405,721 3,201,708 875,213 5,482,642 Mercedes 96,467 124,120 157,685 378,272 Mitsubishi 625,166 521,776 302,394 1,449,336 Nissan 10,496,712 5,781,739 1,852,749 18,131,200 Subaru 1,620,769 2,225,296 1,909,106 5,755,171 Suzuki 448,408 329,382 98,860 876,650 Tesla - 35,580 14,192 49,772 Toyota 31,325,738 34,457,797 14,651,963 80,435,498 Volvo 194,289 359,436 176,462 730,187 FCAf 6,265,066 5,310,269 (1,164,014) 10,411,321 Volkswagenf 2,243,205 2,811,663 1,386,537 6,441,405 All 98,476,389 96,634,380 38,203,238 233,314,007 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -11- ------- Table 2-2. Total Reported Early Credits, By Credit Category Credit Category Credits (Mg) Percent of Total (%) Tailpipe C02* 198,792,034 85 A/C Leakage 23,429,772 10 A/C Efficiency 8,551,932 4 Off-Cycle 2,540,269 1 Total 233,314,007 100 *Tailpipe C02 credits in the early credits program do not include credits from flexible fuel vehicles. Early credits from advanced technology vehicles (electric vehicles, plug-in hybrid electric vehicles, and fuel cell vehicles) may be included in Table 2-2, depending upon how the manufacturer chose to account for them. In these early credit years, manufacturers producing advanced technology vehicles had two options available to them. They could simply incorporate these vehicles into their fleet averaging in the relevant model year calculations using zero grams per mile to represent the operation using grid electricity (see the discussion of advanced technology vehicles in Section 3.C for more information regarding this incentive). Alternatively, the program allowed manufacturers to exclude them from their fleet average in the 2009-2011 model years and carry the vehicles forward into a future model year, where they must be used to offset a GHG deficit. Four manufacturers had qualifying vehicles in the 2009-2011 model years. GM and Mercedes chose the latter approach, while Nissan and Tesla chose the former approach. Advanced technology vehicle credits are discussed in more detail in Section 3.C which also reports the production volumes of advanced technology vehicles for the 2009-2016 model years. Due to concerns expressed by stakeholders during the rulemaking process, EPA placed certain regulatory restrictions on credits from the 2009 model year.21 Specifically, 2009 model year credits may not be traded to another company, and they retained a 5-year credit life. Thus, any unused 2009 model year credits expired at the end of the 2014 model year. Table 2-3 shows the credits left unused by each manufacturer at the end of the 2014 model year. These credits could not be carried forward to the 2015 model year, and were removed from each manufacturer's bank of credits. Note that of the nearly 100 million Mg of 2009 credits earned by manufacturers, almost 76 million Mg, or more than 75 percent, were never used and have now expired. The expired credits also amount to about one third of the total early credits accumulated by manufacturers in the 2009-2011 model years. 21 Light-Duty Vehicle Greenhouse Gas Emissions and Corporate Average Fuel Economy Standards, Final Rule, Federal Register 75 (7 May 2010): 25324, 25328. -12- ------- Table 2-3. Expired 2009 Model Year Credits Manufacturer Credits (Mg) Toyota 29,732,098 Honda 14,133,353 Nissan 8,190,124 GM 6,894,611 Ford 5,882,011 Hyundai 4,482,649 Kia 2,362,882 Mazda 1,340,917 Mitsubishi 583,146 Subaru 491,789 Suzuki 265,311 BMW 134,791 Volkswagenf 1,404,947 All 75,898,629 Volkswagen is listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. Again, previous EPA reports regarding EPA's GHG program should serve only as historical references that are superseded by later reports. Each report is based on the best available data at the time of publication. This report regarding the 2016 model year should be used as the sole reference from which to determine credit balances and overall performance at the conclusion of the 2016 model year, and prior reports should generally be considered obsolete. -13- ------- 3. Credits Reported From the 2012-2016 Model Years The mandatory compliance calculations that manufacturers must perform are (1) to determine credits or deficits based on manufacturer-specific, vehicle footprint-based CO2 standards for both car and truck fleets, and (2) to demonstrate compliance with N2O (nitrous oxide) and CH4 (methane) exhaust emission standards. Compliance with CO2 standards is assessed separately for car and truck fleets at the end of each model year, using emission standards and fleet average values determined based on the sales-weighted actual production volumes of the model year. Compliance with N2O and CH4 standards is typically done in conjunction with emission tests for other pollutants, although there are additional options as described later in this report. Although the minimum requirement is that manufacturers calculate credits (or deficits) based on fleet average tailpipe CO2 emissions, manufacturers have several options to generate additional credits as part of their overall strategy to reduce GHG emissions and meet the standards. These options are described in detail in this report, and include credits for gasoline-ethanol flexible fuel vehicles, improvements to air conditioning systems that increase efficiency and reduce refrigerant leakage, reductions in emissions that aren't captured on EPA tests ("off-cycle" emissions), transitional alternative standards (for eligible low-volume manufacturers), and advanced technology vehicle incentives. The use of the optional credit provisions varies from manufacturer to manufacturer (some manufacturers have not availed themselves of the extra credit options, while others have used some combination of, or all, options available under the regulations). Although a manufacturer's use of the credit programs is optional, EPA projected that the standards would be met on a fleet-wide basis by using a combination of reductions in tailpipe CO2 and use of the additional optional credit and incentive provisions in the regulations. Compliance with the EPA GHG program is achieved with the use of many different building blocks, starting with tailpipe emissions levels and, depending on need, strategy, and technology development and availability, employing one or more credit or incentive programs as additional elements contributing to compliance. Depending on the manufacturer, some of these credit and incentive building blocks may or may not be used. However, all manufacturers start with the same two mandatory building blocks: (1) GHG emissions on a gram per mile basis as measured on EPA test procedures for each vehicle model, and (2) fleet-specific gram per mile CO2 standards based on the footprint of models produced in each car and truck fleet in a given model year. If a manufacturer uses no credits, incentive programs, or alternative standards (if applicable), then we can assess compliance by comparing the production-weighted fleet average emissions from the emission tests with the fleet-specific footprint-based standards. However, most manufacturers are using some credits, incentives, or alternative standards (if applicable), thus for those manufacturers (and for the aggregated fleet as a whole) these building blocks must be accounted for before determining whether or not a standard is met. Indeed, EPA's rulemaking analysis projected that the use -14- ------- of credits and incentive programs would be an integral part of achieving compliance, especially in the early years of the program. We begin by discussing the "2-cycle" tailpipe GHG emissions value (Section 3.A), which is the starting point for compliance for every manufacturer. We then detail each of the different credit and incentive programs, distilling each to an overall gram per mile impact for each manufacturer. Section 3.B describes the temporary lead time allowance alternative standards (TLAAS); Section 3.C describes alternative fuel vehicle incentives, including the temporary flexible fuel vehicle incentives; Section 3.D describes credits based on air conditioning system improvements; Section 3.E describes off-cycle emission reductions; and Section 3.F discusses the impact of alternative methane and nitrous oxide standards. Once these values have been determined, the 2-cycle tailpipe value is reduced by the total of all the credit and incentive programs to determine a "compliance value," as described in Section 3.G. Section 3.H describes the derivation of manufacturer-specific CO2 standards, which leads into Section 3.1, which concludes Section 3, by comparing the compliance values to the CO2 standards to determine whether or not a given fleet generates credits or deficits in the model year. We also show results aggregated on an industry-wide car and light truck fleet basis and an industry-wide total combined fleet basis for informational purposes. This report approaches the description of manufacturer compliance in the same manner as did the previous model year reports. Instead of focusing on Megagrams of credits and deficits (which is how credits are reported to EPA by the manufacturers), this report describes compliance (for each manufacturer's car, truck, and combined fleets, as well as for the aggregated industry) by describing each of the building blocks of compliance and the gram per mile contribution to a manufacturer's total compliance. However, note that the gram per mile values are calculated only for the purpose of this report, and are not specific compliance values defined in or required by the regulations. A. "2-Cycle" Tailpipe CO2 Emissions The starting point for each manufacturer is to test their vehicles on two test procedures defined in EPA regulations: The Federal Test Procedure (known as the "City" test) and the Highway Fuel Economy Test (the "Highway" test). These tests produce the raw emissions data reported to EPA, which is then augmented by air conditioning credits, off-cycle credits, incentives for dual fuel vehicles, and other provisions, to produce the total compliance picture for a manufacturer's fleet. Results from these two tests are averaged together, weighting the City results by 55% and the Highway results by 45%, to achieve a single value for each vehicle model produced by a manufacturer. A sales-weighted average of all of the Important Note Regarding Tables Many of tables in this section have a final row labeled "Fleet Total." This row indicates a value that is calculated based on the entire model year fleet and is not specific only to the manufacturers listed in the table. For example, not all manufacturers generated credits for air conditioning systems, but the final "Fleet Total" row in those tables indicates values that are calculated to show the impact of air conditioning credits on the entire model year fleet (i.e., across all manufacturers, whether or not they reported air conditioning credits). -15 - ------- combined city/highway tailpipe values is calculated for each passenger car and light truck fleet and reported to EPA. This value represents the actual tailpipe CO2 emissions of a fleet without the application of any additional credits or incentives, and as such, comparison with a fleet-specific CO2 standard would be inappropriate. Table 3-1 shows the 2-cycle tailpipe emissions for the car, truck and combined fleets reported by each manufacturer for the 2012-2016 model years.22 Absent the use of credits and incentives, manufacturers demonstrated overall reductions in tailpipe GHG emissions in both the car and truck fleets in model year 2016 relative to model year 2015. Of the 17 manufacturers active in the program in the 2016 model year, excluding the small volume manufacturers, seven manufacturers increased aggregate fleet average tailpipe CO2 emissions, while the remainder reported either no change or a decrease in the 2-cycle tailpipe emissions from their fleet. Across the industry, a small reduction in 2-cycle GHG emissions from both cars and trucks (3 g/mi for each fleet) led to a small net reduction of 1 g/mi in overall fleet-wide 2-cycle emissions. The overall reduction is lower than the individual fleet reductions because of a continuing shift of consumers to buying trucks, which reached 45 percent of the fleet in the 2016 model year. On a percentage basis the most significant reductions from the 2015 to the 2016 model year were reported by Hyundai (-5%) and Mazda (-3.1%). Hyundai is interesting because their truck emissions increased by 15 g/mi and cars decreased by 10 g/mi, but an overall reduction was achieved because car sales made up 97 percent of Hyundai's fleet in model year 2016. Volvo's 9.9 percent reduction in CO2 emissions (-33 g/mi) from their truck fleet led the industry, with Mazda not far behind at 9.1 percent. Kia led the way in the car fleet with a CO2 reduction of 5.4 percent, with Hyundai following with a reduction of 4.1 percent, and then Ford, GM, and Honda showing reductions relative to model year 2015 between 1 and 3 percent. Jaguar Land Rover and Nissan have made the greatest percentage reductions in 2-cycle emissions since the first year of the program, demonstrating reductions of 16 and 17 percent, respectively. Mazda, Mercedes, and Subaru also showed double-digit reductions of 12, 14, and 13 percent, respectively. Every manufacturer except Toyota reduced 2-cycle emissions in the first phase of the program, from the 2012 to the 2016 model year (of course, Toyota entered the program in model year 2012 with CO2 emissions among the lowest of all manufacturers). 22 The values in Table 3-1 do not include the impacts of credits or incentives resulting from air conditioning improvements and off-cycle technologies. The impacts of these are detailed in subsequent sections. The values do reflect that direct tailpipe GHG emissions from electricity are zero, as well as the estimated real-world impact of the use of E85 in flexible fuel vehicles, as described in section 3.C.3. Because the values in this table do not include all credits and incentives, the table does not describe a manufacturer's actual model year performance or a manufacturer's compliance status. -16- ------- Table 3-1. "2-cycle" Tailpipe CO2 Production-Weighted Fleet Average Emissions (g/mi) Model Year 2012 Model Year 2013 Model Year 2014 Model Year 2015 Model Year 2016 Manufacturer Car Truck All Car Truck All Car Truck All Car Truck All Car Truck All BMW 277 363 302 271 346 292 256 312 270 256 316 270 262 310 276 BYD Motors 0 0 0 0 0 0 No production volume Coda 0 0 0 0 No production volume Ford 261 385 315 256 375 321 256 375 315 258 353 311 254 354 311 GM 283 397 331 273 395 325 267 369 314 267 362 321 260 365 319 Honda 237 320 266 228 312 257 228 299 259 217 283 243 213 285 245 Hyundai 243 312 249 238 317 241 247 325 253 246 324 252 236 339 239 Jaguar Land Rover 376 439 426 347 414 399 330 377 369 324 343 339 322 361 356 Karma 102 102 No production volume Kia 258 324 266 252 301 254 265 330 269 260 327 266 246 330 267 Mazda 241 324 263 232 296 251 220 287 240 217 285 238 214 259 231 Mercedes 316 393 343 296 371 321 285 372 309 273 347 301 269 342 296 Mitsubishi 262 283 267 254 267 258 224 256 236 215 254 228 241 251 248 Nissan 258 382 295 232 340 266 229 335 263 217 307 245 221 297 246 Porsche 325 362 342 309 363 336 Included in Volkswagen Subaru 257 296 282 254 270 264 250 254 253 241 247 245 244 246 246 Suzuki 267 361 287 266 330 273 No production volume Tesla 0 0 0 0 0 0 0 0 0 0 Toyota 221 354 273 225 347 278 221 358 274 225 342 279 224 342 279 Volvo 297 343 311 292 348 318 288 348 319 254 333 285 249 300 283 FCAf 300 384 357 289 380 344 298 364 346 275 354 329 288 348 331 Volkswagenf 274 332 282 272 327 279 266 336 280 251 336 269 247 320 264 All 259 369 302 251 360 294 250 349 294 243 336 286 240 332 285 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different CO2 data, any relevant changes will be used in future reports. -17- ------- B. TLAAS Program Standards EPA established the Temporary Lead-time Allowance Alternative Standards (TLAAS) to assist manufacturers with limited product lines that may be especially challenged in the early years of EPA's GHG program. The TLAAS program was established to provide additional lead-time for manufacturers with narrow product offerings which may not be able to take full advantage of averaging or other program flexibilities due to the limited scope of the types of vehicles they sell. In the 2012 model year the program was used by Ferrari, Jaguar Land Rover, Mercedes, and Porsche. Aston Martin, Lotus, and McLaren - companies that were exempt from the 2012 standards under the program's small volume manufacturer provisions - joined the program in the 2013 model year and incorporated use of the TLAAS standards in their 2013-2015 model year compliance. Volvo placed a small fraction of their 2015 fleet, all trucks, under the TLAAS standards. The TLAAS program was available only to manufacturers with 2009 model year U.S. sales of less than 400,000 vehicles, and, except as noted below, was available during the 2012-2015 model years. Under this program, a manufacturer was allowed to treat a portion of its fleet as a separate averaging fleet to which a less stringent CO2 standard applied. Specifically, a qualifying manufacturer was allowed to place up to 100,000 vehicles (combined cars and trucks) under the less stringent standards over the four model years from 2012 through 2015 (i.e., this is a total allowance, not an annual allowance). The CO2 standard applied to this limited fleet is 1.25 times - or 25 percent higher than - the standard that would otherwise be calculated for the fleet under the primary program. Providing that certain conditions are met, manufacturers with 2009 model year U.S. sales of less than 50,000 vehicles may be allowed an additional 150,000 vehicles (for a total of 250,000 vehicles at the 25 percent higher standard), and may be able to extend the program through the 2016 model year (for a total eligibility of five model years). No manufacturers used the TLAAS option in the 2016 model year. All manufacturers that participated in the TLAAS program are subject to a number of restrictions designed to ensure its use only by those manufacturers that truly need it. Manufacturers using the TLAAS program were not allowed to sell credits, they may not bank credits that are accrued by their non-TLAAS fleets, they must use up any banked credits before utilizing a TLAAS fleet, and the movement of credits between a manufacturer's TLAAS and non-TLAAS fleets is restricted. There are four possible fleets for emissions averaging and credit or deficit calculation under the TLAAS program: both cars and trucks in either the Primary or TLAAS program. Manufacturers employed a variety of strategies in the use of the TLAAS program in the 2012 through 2015 model years. The smallest-volume companies (Aston Martin, Ferrari, Lotus, and McLaren) placed all of their 2013-2015 production into a TLAAS fleet, because they can do so without any risk of exceeding the applicable limits. As noted in section 1.D.2, data from these companies is not included in this report. Porsche, which placed all of its 2012 and 2013 vehicles in the TLAAS program (totaling more than 70,000 vehicles), would have -18- ------- reached the 100,000 vehicle limit in the 2014 model year except for the fact that as of the 2014 model year they were aggregated with the Volkswagen fleet and no longer eligible to use the TLAAS program. Table 3-2 shows each manufacturer's reported use of the TLAAS program for the 2012-2015 model years. Note that the total of 283,440 vehicles placed under the less stringent standards in the program to date represents less than 0.5 percent of the total number of vehicles produced in the 2012-2016 model years. While required by the regulations, the complexity of reporting credits and deficits in Megagrams of CO2 can sometimes obscure the progress that companies are actually making towards reducing their GHG emissions. The approach we have developed in this report provides the transparency needed to be able to make these evaluations. For example, Mercedes-Benz and Jaguar Land Rover, the largest of the manufacturers using these temporary and limited alternative standards, have both made substantial progress reducing tailpipe GHG emissions from 2012 to 2016. As shown in the previous section, Jaguar Land Rover and Mercedes reduced their overall 2-cycle tailpipe emissions by 70 and 47 g/mi, respectively, since the program started in the 2012 model year. -19- ------- Table 3-2. Production Volumes Assigned to HAAS Standards Model Year 2012 Model Year 2013 Model Year 2014 Model Year 2015 Cumulative Manufacturer Car Truck All Car Truck All Car Truck All Car Truck All Total Jaguar Land Rover 326 38,871 39,197 25 24,254 24,279 521 9,019 9,540 19 26,965 26,984 100,000 Mercedes 10,585 20,230 30,815 6 28,437 28,443 7,095 14,740 21,835 118 18,789 18,907 100,000 Porsche 16,946 12,927 29,873 22,021 19,461 41,482 Merged with Volkswagen, no longer eligible for TLAAS 71,355 Volvo 0 0 0 0 0 0 0 0 0 0 12,085 12,085 12,085 Fleet Total 27,857 72,028 99,885 22,052 72,152 94,204 7,616 23,759 31,375 137 57,839 57,976 283,440 -20- ------- To understand the impact of the TLAAS program on compliance with EPA's GHG program, we determined the gram per mile "benefit" achieved by each manufacturer and accrued for each fleet as a result of using the TLAAS program. For manufacturers placing all their vehicles in a TLAAS fleet the calculation is easy; it is simply the difference between the TLAAS program standard and the Primary Program standard that would have otherwise applied. For manufacturers with a mix of TLAAS and Primary Program vehicles in each fleet, we determined the difference in the total credits (in Megagrams) for each fleet with the use of TLAAS and without the use of TLAAS. This difference was then converted to grams per mile, and the resulting values are shown in Table 3-3. The final row in the table indicates the overall impact from the use of the TLAAS program on the entire model year fleet, not just the set of manufacturers enrolled in the TLAAS program. Thus, the overall net impact on the 2015 fleet of the TLAAS program is 0.3 g/mi. As noted above, no manufacturer used the TLAAS program in the 2016 model year. Unlike other credits, the impact of the TLAAS program is not an adjustment to 2-cycle emissions, but rather, an adjustment to the standard. For example, Volvo's 2015 model year fleet average standard against which they must demonstrate compliance was 14 g/mi greater than it would have been without use of the TLAAS program, as seen in Table 3-3. -21- ------- Table 3-3. Net Impact from Use of the HAAS Program (g/mi) 2012 Model Year 2013 Model Year 2014 Model Year 2015 Model Year Manufacturer Car Truck All Car Truck All Car Truck All Car Truck All Jaguar Land Rover 2 76 60 0 40 31 3 13 11 0 38 31 Mercedes 4 22 10 0 27 9 2 13 5 0 12 5 Porsche 66 84 75 63 82 73 Merged with Volkswagen, no longer eligible for TLAAS Volvo 0 0 0 0 0 0 0 0 0 0 36 14 Fleet Total 0.2 1.3 0.6 0.2 1.1 0.5 0.1 0.3 0.2 0.0 0.6 0.3 -22- ------- C. Credits Based on Alternative Fuel Vehicles EPA's GHG program contains several credits and incentives for dedicated and dual fuel alternative fuel vehicles. Dedicated alternative fuel vehicles are vehicles that run exclusively on an alternative fuel (e.g., compressed natural gas, electricity). Dual fuel vehicles can run both on an alternative fuel and on a conventional fuel such as gasoline; the most common is the gasoline-ethanol flexible fuel vehicle, which is a dual fuel vehicle that can run on E85 (85 percent ethanol and 15 percent gasoline), or on conventional gasoline, or on a mixture of both E85 and gasoline in any proportion. Dual fuel vehicles also include vehicles that use compressed natural gas (CNG) and gasoline, or electricity and gasoline. This section separately describes three different and uniquely-treated categories of alternative fuel vehicles: advanced technology vehicles using electricity or hydrogen fuel cells; compressed natural gas vehicles; and gasoline-ethanol flexible fuel vehicles. 1. Advanced Technology Vehicles EPA's GHG program contains incentives for advanced technology vehicles. For the 2012- 2016 model years, the incentive program allows electric vehicles and fuel cell vehicles to use a zero grams per mile compliance value, and plug-in hybrid electric vehicles may use a zero grams per mile value for the portion of operation attributed to the use of grid electricity (i.e., only emissions from the portion of operation attributed to gasoline engine operation are "counted" for the compliance value). Use of the zero grams per mile option is limited to the first 200,000 qualified vehicles produced by a manufacturer in the 2012-2016 model years. Electric vehicles, fuel cell vehicles, and plug-in hybrid electric vehicles that were included in a manufacturer's calculations of early credits also count against the production limits. As noted in Section 2, both GM and Mercedes selected an option in the early credit provisions by which they could choose to set aside their relatively small 2011 model year advanced technology vehicle production for inclusion in a future model year yet to be determined. All manufacturers of advanced technology vehicles in the 2012-2016 model years are well below the cumulative 200,000 vehicle limit for the 2012-2016 model years, thus all manufacturers remain eligible to continue to use zero grams per mile. If a manufacturer were to reach the cumulative production limit before the 2017 model year, then advanced technology vehicles produced beyond the limit must account for the net "upstream" emissions associated with their vehicles' use of grid electricity relative to vehicles powered by gasoline. Based on vehicle electricity consumption data (which includes vehicle charging losses) and assumptions regarding GHG emissions from today's national average electricity generation and grid transmission losses, a midsize electric vehicle might have upstream GHG emissions of about 180 g/mi, compared to the upstream GHG emissions of a typical midsize gasoline car of about 60 g/mi. Thus, the electric vehicle would have a net upstream -23- ------- emissions value of about 120 g/mi.23 EPA regulations provide all the information necessary to calculate a unique net upstream value for each electric or plug-in hybrid electric vehicle.24 The nature of this incentive is such that it is reflected in the 2-cycle emissions values shown in Section 3.A. For example, the incentive allows Tesla to record zero grams per mile for their fleet (see Table 3-1) in the 2012-2016 model years. Without the incentive, however, the 2016 model year 2-cycle fleet average GHG emissions for Tesla would in fact be about 105 g/mi.25 Use of the incentive in Tesla's case in the 2016 model year allowed them to generate almost 950,000 Mg of additional GHG credits relative to what they would generate by using the net upstream value of 105 g/mi. Nissan's passenger car fleet benefitted similarly from the ability of the electric Nissan Leaf to use zero grams per mile instead of the calculated net upstream value of 82 g/mi.20 As a result, the overall impact on Nissan's passenger car fleet in the 2016 model year was an improvement of 1.1 g/mi, allowing them to generate about 210,000 Mg of credits more than if the incentive provisions were not in place. The net impact from Nissan and Tesla on the entire 2016 model year fleet of this incentive is thus about 1.1 million Mg of credits, or about 0.3 g/mi. While there are other electric vehicles and plug-in hybrid electric vehicles in the 2016 fleet, as shown in Table 3-4, Nissan and Tesla account for a substantial fraction of the 2016 model year volume of these vehicles. A few thousand of the remaining advanced technology vehicles are electric vehicles, but the majority of the remaining vehicles are plug-in hybrid electric vehicles, which will have a smaller overall impact than electric vehicles because of their use of gasoline in addition to electricity (the other companies with larger volumes of advanced technology vehicles - General Motors and Ford - produced far more plug-in hybrids than dedicated electric vehicles in the 2016 model year). Because it is unlikely that the total impact of this incentive exceeds 0.5 g/mi across the 2016 model year fleet, we have not carried out the analysis for all advanced technology vehicles. In the future, however, it may be more important, interesting, and useful to have a complete assessment of the impact of incentives for these vehicles. Table 3-4 shows the 2010-2016 production volumes of advanced technology vehicles that utilized the zero grams per mile incentive. 23 Light-Duty Vehicle Greenhouse Gas Emission Standards and Corporate Average Fuel Economy Standards, Final Rule, Federal Register 75 (7 May 2010): 25435. 24 See 40 CFR 600.113-12(n). 25 Using the calculations prescribed in the regulations, the sales-weighted upstream emissions for Tesla's 2016 passenger cars is 180 grams/mile and the upstream emissions associated with a comparable gasoline vehicle is 75 grams/mile. The difference, or the net upstream emissions of Tesla's 2016 passenger car fleet, is 105 grams/mile. 26 The upstream GHG emission value for the 2016 Nissan Leaf is 144 grams/mile and the upstream emissions associated with a comparable gasoline vehicle is 62 grams/mile. The difference, or the net upstream emissions of the 2016 Leaf, is 82 grams/mile. -24- ------- Table 3-4. Production Volumes of Advanced Technology Vehicles Using Zero Grams/Mile Incentive, by Model Year Model Year Manufacturer 2010 2011 2012 2013 2014 2015 2016 Total BMW - - - - 9,895 11,386 11,755 33,036 BYD Motors - - 11 32 50 - - 93 Coda - - - 37 - - - 37 Ford - - 653 18,654 18,826 17,384 22,343 77,860 GM - 4,370 18,355 27,484 25,847 14,847 12,447 103,350 Honda - - - 471 1,635 - - 2,106 Hyundai - - - - - 72 1,432 1,504 Karma - - 1,415 - - - - 1,415 Kia - - - - - 926 2,788 3,714 Mercedes - 546 25 880 3,610 3,125 2,365 10,551 Mitsubishi - - 1,435 - 219 - 130 1,784 Nissan - 8,495 11,460 26,167 10,339 33,242 13,128 102,831 Tesla 599 269 2,952 17,813 17,791 24,322 46,058 109,804 Toyota - - 452 829 1,218 5,838 - 8,337 Volvo - - - - - - 2,183 2,183 FCAf - - - 2,353 3,404 7,825 4,639 18,221 Volkswagenf - - - - 755 4,869 12,776 18,400 Total 599 13,680 36,758 94,720 93,589 123,836 132,044 495,226 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. 2. Compressed Natural Gas Vehicles There were no compressed natural gas vehicles (CNG) subject to the GHG standards in the 2016 model year. The Honda Civic CNG was the only CNG vehicle produced for general purchase by consumers during the first phase of EPA's GHG program, and it was only available in the 2012-2014 model years, and is a dedicated alternative fuel vehicle. In the 2015 and 2016 model years, Quantum Technologies offered a dual fuel (CNG and gasoline) version of GM's Chevrolet Impala through an agreement with GM. Quantum Technologies is exempt from GHG standards under the small business provisions (although they could opt in if they chose), and as a result these vehicles were not subject to 2015-2016 model year GHG standards and thus won't be accounted for in this report. 3. Gasoline-Ethanol Flexible Fuel Vehicles For the 2012 to 2015 model years, EPA provided GHG credits for flexible fuel vehicles (FFVs) that corresponded to the statutory fuel economy credits under CAFE. As with the CAFE program, the GHG program based FFV credits in these years on the assumption that FFVs operate 50% of the time on the alternative fuel and 50% of the time on conventional -25- ------- fuel, resulting in CO2 emissions that are based on an arithmetic average of alternative fuel and conventional fuel CO2 emissions. Further, to fully align the credit with the CAFE program, the CO2 emissions measurement on the alternative fuel was multiplied by a 0.15 factor. The 0.15 factor was used because, under the CAFE program's implementing statutes, a gallon of alternative fuel is deemed to contain 0.15 gallons of gasoline fuel. Again, this approach was only applicable for the 2012-2015 model years of the GHG program. For example, for a flexible-fuel vehicle that emits 330 g/mi CO2 while operating on E85 and 350 g/mi CO2 while operating on gasoline, the resulting CO2 compliance value used in the manufacturer's fleet average calculation prior to the 2016 model year would be: [(330x0.15) + 350] CO, = - = 199.8 g/mi By temporarily using the CAFE-based approach—including the 0.15 factor—the CO2 emissions value for an FFV was calculated to be significantly lower than it actually would be otherwise, even if the vehicle were assumed to operate on the alternative fuel at all times. For example, the FFV compliance value of 199.8 g/mi shown above is 150 g/mi, or 43 percent, less than the gasoline-only value of 350 g/mi. This was a short-term incentive being provided to FFVs, available in EPA's GHG program only through the 2015 model year. In fact, the standards in the early years of the GHG program were developed with an explicit understanding that some manufacturers would make use of this and other incentive and credit programs to meet the standards. Starting in model year 2016, GHG compliance values for FFVs are based on the actual emissions performance of the FFV on conventional and alternative fuels, weighted by EPA's assessment of the actual use of these fuels in FFVs. A guidance letter released in 2014 defined a weighting factor (the "F factor") of 0.14 to use for E85 when weighting E85 and gasoline CO2 emissions for FFVs in the 2016-2018 model years. EPA estimated that FFVs would be operating on E85 14 percent of the time in these years.27 This approach could be thought of as comparable to the "utility factor" weighting method used to weight gasoline and electricity for plug-in hybrid electric vehicles (PHEV), which projects the percentage of miles that a PHEV will use electricity based on how many miles a fully-charged PHEV can drive using grid electricity. Thus, for the example FFV described above, the new equation for determining the CO2 emissions compliance value for the 2016 model year, reflecting a 0.14 and 0.86 weighting of E85 and gasoline values, respectively, is the following: CO, = (330x0.14) + (350x0.86) = 347.2 g/mi Depending on the relative FFV tailpipe emissions values on E85 and gasoline, FFVs can still represent a CO2 emissions benefit, and can help to lower the emissions of a manufacturer's fleet, but the overall impact is significantly diminished relative to the magnitude of the 27 EPA Guidance Letter "E85 Flexible Fuel Vehicle Weighting Factor for Model Year 2016-2018 Vehicles," CD-14-18, November 12, 2014. -26- ------- incentives provided in previous model years. Under the 2016 model year methodology, the FFV compliance value of 347.2 g/mi in the example above is less than 3 g/mi, or less than one percent, lower than the gasoline-only value of 350 g/mi. This reduction is about 50 times less relative to the methodology for the 2012 to 2015 model years. This methodology that is based on the actual emissions performance of FFVs on the EPA test procedures weighted based on projected fuel use over the life of the vehicle results in a credit that is substantially less relative to the methodology for the 2012 to 2015 model years. Six manufacturers produced FFVs in the 2016 model year, as shown below in Tables 3-5 and 3-6. Clearly, FCA, Ford, and GM produced the overwhelming majority of vehicles capable of operating on E85. FFVs started the GHG program in 2012 at about 15 percent of the fleet, then grew to almost 20 percent of the fleet in the 2014 model year, when production peaked, and then began to decline in subsequent model years. FFVs make up about eight percent of the 2016 model year fleet. Note that the number of models shown in Table 3-5 is based on EPA's "model type" designation (used for EPA Fuel Economy and Environment Labels), and is not equivalent to "nameplate." Generally speaking, a model type is a unique combination of a nameplate (e.g., Silverado), an engine (e.g., 6 cylinder), a drive system (e.g., 4-wheel drive), and a transmission (e.g., 6-speed automatic). Thus, a single nameplate that is offered with two engines, in both two- and four-wheel drive, and in manual and automatic transmissions, will result in eight different model types. For example, two of the Toyota truck models shown in Table 3-5 are made up of two- and four-wheel drive versions of the Toyota Tundra pickup truck. Most of these manufacturers focused their FFV production in the truck segment, with trucks making up almost 70 percent of all FFV production in the 2016 model year. Ford, Toyota, and Mercedes slightly increased FFV production in the 2016 model year, while FCA and GM significantly reduced FFV production, and Nissan and Jaguar Land Rover ended FFV production. Overall, however, FFV production dropped by about 500,000 vehicles relative to 2015, a drop of about 27 percent. -27- ------- Table 3-5. Number of FFV Models by Manufacturer, 2012-2016 Model Years Model Year Category Ford GM Jaguar Land Rover Mercedes Nissan Toyota +- 5 Volkswagenf Total Car 7 19 - 5 - 0 10 4 45 2012 Truck 23 60 - 1 4 2 - 101 All 30 79 - 6 4 2 21 4 146 Car 6 18 4 7 - 0 10 10 55 2013 Truck 23 58 - 1 4 2 13 1 102 All 29 76 4 8 4 2 23 11 157 Car 6 11 6 7 0 0 10 8 48 2014 Truck 21 44 6 1 4 2 11 1 90 All 27 55 12 8 4 2 21 9 138 Car 5 7 5 2 0 0 11 7 37 2015 Truck 7 22 3 1 4 2 11 1 51 All 12 29 8 3 4 2 22 8 88 Car 6 6 0 2 0 0 8 4 26 2016 Truck 11 17 0 2 0 3 6 1 40 All 18 23 0 4 0 3 14 5 66 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "AN" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -28- ------- Table 3-6. Production Volume of FFVs by Manufacturer, 2012-2016 Model Years Model Year Category Ford GM Jaguar Land Rover Mercedes Nissan Toyota +- 5 Volkswagenf Total Car 174,597 396,264 - 13,493 - - 105,174 2,060 691,588 2012 Truck 323,563 511,183 - 8,289 24,154 31,670 453,399 - 1,352,258 All 498,160 907,447 - 21,782 24,154 31,670 558,573 2,060 2,043,846 Car 209,988 374,354 321 34,493 - - 142,158 30,346 791,660 2013 Truck 546,695 637,576 - 22,082 13,650 33,203 431,359 20,799 1,705,364 All 756,683 1,011,930 321 56,575 13,650 33,203 573,517 51,145 2,497,024 Car 259,189 282,707 2,754 48,597 - - 76,570 39,375 709,192 2014 Truck 498,245 801,740 32,013 12,079 14,809 56,516 650,617 25,666 2,091,685 All 757,434 1,084,447 34,767 60,676 14,809 56,516 727,187 65,041 2,800,877 Car 140,169 170,959 2,640 12,026 - - 183,860 28,994 538,648 2015 Truck 296,039 313,961 10,795 5,208 13,565 43,060 585,462 31,987 1,300,077 All 436,208 484,920 13,435 17,234 13,565 43,060 769,322 60,981 1,838,725 Car 137,556 125,079 - 24,782 - - 115,995 21,237 424,649 2016 Truck 338,099 139,667 - 9,894 - 69,596 313,607 39,212 910,075 All 475,655 264,746 - 34,676 - 69,596 429,602 60,449 1,334,724 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. Table 3-7 shows the impact of the FFV credits on each manufacturer's fleet for the 2012- 2015 model years. Although FFVs, in conjunction with use of the 0.14 usage factor, can help lower a manufacturer's fleet GHG emissions in the 2016 and later model years, EPA does not consider the GHG performance-based approach to be a credit or an incentive. The methodology for 2016 and later FFVs is, like the use of utility factors for PHEVs, considered to simply be the appropriate methodology by which to calculate emissions on the test procedures based on the fuels, or mixture of fuels, that FFVs are projected to consume. The data show that three manufacturers benefitted from FFVs in the 2016 model year. Compared to fleet performance based only on gasoline test results, FCA and GM used FFVs to lower their passenger car fleet 2-cycle CO2 emissions by 1 g/mi, while Ford reduced truck fleet 2-cycle CO2 emissions by 1 g/mi. The overall impact of FFVs on the fleet in 2016 was negligible, a small fraction of one g/mi. These much smaller impacts will not be reported separately as credits beginning with the 2016 model year; rather, the impact of FFVs for the 2016 and later model years is "built in" to the 2-cycle tailpipe emissions. -29- ------- Table 3-7. Credits Accrued from Use of the FFV Incentives, 2012-2015 Model Years (g/mi) Manufacturer 2012 Model Year 2013 Model Year 2014 Model Year 2015 Model Year Car Truck All Car Truck All Car Truck All Car Truck All Ford 9 21 14 9 20 15 9 20 14 8 15 12 GM 11 23 16 10 22 15 10 19 14 8 15 12 Jaguar Land Rover 0 0 0 5 0 1 1 18 15 13 6 7 Mercedes 11 15 13 12 12 12 11 17 12 6 5 6 Nissan 0 15 4 0 8 3 0 8 3 0 6 2 Toyota 0 9 4 0 8 3 0 15 6 0 8 4 FCAf 13 21 18 12 21 17 12 19 17 9 15 13 Volkswagenf 1 0 1 7 15 8 10 16 11 7 13 8 Fleet Total 4 14 8 4 14 8 5 14 9 3 10 6 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. D. Credits Based on Air Conditioning Systems The vast majority of new cars and light trucks in the United States are equipped with air conditioning (A/C) systems. There are two mechanisms by which A/C systems contribute to the emissions of greenhouse gases: through leakage of hydrofluorocarbon refrigerants into the atmosphere (sometimes called "direct emissions") and through the consumption of fuel to provide mechanical power to the A/C system (sometimes called "indirect emissions"). The high global warming potential (GWP) of the current predominant automotive refrigerant, HFC-134a, means that leakage of a small amount of refrigerant will have a far greater impact on global warming than emissions of a similar amount of CO2. The impacts of refrigerant leakage can be reduced significantly by systems that incorporate leak-tight components, or, ultimately, by using a refrigerant with a lower global warming potential. The A/C system also contributes to increased tailpipe CO2 emissions through the additional work required by the engine to operate the compressor, fans, and blowers. This additional power demand is ultimately met by using additional fuel, which is converted into CO2 by the engine during combustion and exhausted through the tailpipe. These emissions can be reduced by increasing the overall efficiency of an A/C system, thus reducing the additional load on the engine from A/C operation, which in turn means a reduction in fuel consumption and a commensurate reduction in GHG emissions. Manufacturers may generate and use credits for improved A/C systems in complying with the CO2 fleet average standards in the 2012 and later model years (or otherwise to be able to bank or trade the credits). These provisions were also used in the 2009-2011 model years to generate early credits, prior to the 2012 model year. Sixteen manufacturers used the A/C credit provisions - either for leakage reductions, efficiency improvements, or both - as part of their compliance demonstration in the 2016 model year. -30- ------- The A/C provisions are structured as additional and optional credits, unlike the CO2 standards for which manufacturers must demonstrate compliance using the EPA exhaust emission test procedures. The EPA compliance tests do not measure either A/C refrigerant leakage or the increase in tailpipe CO2 emissions attributable to the additional engine load of A/C systems. Because it is optional to include A/C-related GHG emission reductions as an input to a manufacturer's compliance demonstration, the A/C provisions are viewed as an additional program that credits manufacturers for implementing A/C technologies that result in real-world reductions in GHG emissions. A summary of the A/C credits reported by the industry for all model years, including the early credit program years, is shown in Table 3-8 (note that because not all manufacturers participated in the early credits program, credit volumes and percentages from 2009-2011 and 2012-2015 are not comparable). Table 3-9 shows the total air conditioning credits (combined leakage and efficiency credits, in Megagrams) reported by each manufacturer in the 2016 model year, and the grams per mile impact across their entire vehicle fleet. Like the TLAAS program and alternative fuel vehicle incentives, EPA's standards are predicated in part upon manufacturers earning credits for reducing GHG emissions from A/C systems. Table 3-10 shows the benefit of A/C credits, translated from Megagrams to grams per mile, for each manufacturer's fleet for the 2012- 2016 model years. Table 3-8. Reported A/C Credits by Credit Type and Model Year Leakage Credits Efficiency Credits Model % of Annual % of Annual Year Mg A/C Total Mg A/C Total Total (Mg) 2009 6,239,573 75% 2,113,939 25% 8,353,512 2010 8,323,159 75% 2,843,761 25% 11,166,920 2011 8,867,040 71% 3,594,232 29% 12,461,272 2012 11,121,450 65% 5,881,319 35% 17,002,769 2013 13,239,784 61% 8,517,721 39% 21,757,505 2014 16,588,243 61% 10,540,350 39% 27,128,593 2015 20,240,734 62% 12,383,461 38% 32,624,195 2016 21,422,607 63% 12,479,386 37% 33,901,993 Total 106,042,590 65% 58,354,169 35% 164,396,759 -31- ------- Table 3-9. Reported A/C Credits by Manufacturer, 2016 Model Year A/C Leakage A/C Efficiency Grams/Mile Credits Credits Total A/C Credits Equivalent of Manufacturer (Mg) (Mg) (Mg) Total A/C Credits BMW 418,678 338,605 757,283 10 Ford 3,154,215 1,411,163 4,565,378 10 GM 3,573,176 2,201,272 5,774,448 11 Honda 2,026,647 1,137,628 3,164,275 8 Hyundai 379,578 537,703 917,281 7 Jaguar Land Rover 425,008 144,567 569,575 22 Kia 380,830 502,748 883,578 6 Mercedes 412,257 365,340 777,597 11 Mitsubishi 86,597 - 86,597 5 Nissan 1,380,015 795,312 2,175,327 8 Subaru - 335,224 335,224 3 Tesla - 51,263 51,263 6 Toyota 2,426,563 2,260,189 4,686,752 9 Volvo 127,361 74,919 202,280 11 FCAf 6,047,361 1,910,581 7,957,942 18 Volkswagenf 584,321 412,872 997,193 9 Fleet Total 21,422,607 12,479,386 33,901,993 10 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -32- ------- Table 3-10. Net Impact of A/C Credits, 2012-2016 Model Years (g/mi) 2012 Model Year 2013 Model Year 2014 Model Year 2015 Model Year 2016 Model Year Manufacturer Car Truck All Car Truck All Car Truck All Car Truck All Car Truck All BMW 7 11 8 8 11 9 8 11 9 9 11 9 9 11 10 Ford 5 8 6 7 8 8 8 10 9 9 11 10 9 11 10 GM 8 8 8 9 9 9 9 11 10 10 11 10 10 11 11 Honda 3 5 4 4 6 4 4 6 5 4 7 5 9 8 8 Hyundai 4 7 4 5 7 5 6 7 6 6 7 6 7 5 7 Jaguar Land Rover 5 8 7 5 9 8 12 22 21 14 23 21 19 23 22 Kia 5 3 5 5 8 5 6 5 6 6 6 6 6 6 6 Mercedes 9 11 10 9 12 10 10 12 11 11 12 11 11 12 11 Mitsubishi - - - - - - - - - - - - 3 7 5 Nissan 2 4 3 4 4 4 5 6 6 7 8 7 7 9 8 Subaru 2 2 2 1 2 2 1 2 2 3 2 2 3 3 3 Tesla 6 - 6 6 - 6 6 - 6 6 - 6 6 - 6 Toyota 7 6 7 7 7 7 8 7 8 8 8 8 8 11 9 Volvo 11 12 11 10 11 10 8 8 8 8 9 8 8 12 11 FCAf 9 10 10 10 11 10 13 14 14 17 19 19 17 19 18 Volkswagenf 6 9 7 6 10 7 8 12 9 9 12 9 8 12 9 Fleet Total 5 7 6 6 8 7 7 10 8 8 11 9 9 11 10 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "AN" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -33- ------- 1. Air Conditioning Leakage Credits A manufacturer choosing to generate A/C leakage credits with a specific A/C system is required to calculate a leakage "score" for the A/C system.28 This score is based on the number, performance, and technology of the components, fittings, seals, and hoses of the A/C system.29 This score, which is determined in grams per year, is calculated using the procedures specified by the SAE Surface Vehicle Standard J2727. The score is subsequently converted to a gram per mile credit value based on the global warming potential (GWP) of the refrigerant, for consistency with the units of GHG exhaust emissions. The grams per mile value is used to calculate the total tons of credits attributable to an A/C system by accounting for the VMT of the vehicle class (car or truck) and the production volume of the vehicles employing that A/C system. In the 2012 model year, all leakage credits were based on improvements to the A/C system components, e.g., to O-rings, seals, valves, and fittings, as no manufacturer had yet introduced a new low-GWP refrigerant in the U.S. In the 2013 model year, General Motors and Honda introduced vehicles that further reduced the impacts of A/C system leakage by using HFO-1234yf, a relatively new low-GWP refrigerant. These two manufacturers were the first to introduce this refrigerant in U.S. vehicle models (the Cadillac XTS and the Honda Fit EV). HFO-1234yf has an extremely low GWP of 4, as compared to a GWP of 1430 for HFG134a, the refrigerant currently used throughout most of the industry. The use of HFO- 1234yf expanded considerably in the 2014 model year, from 42,384 vehicles in the 2013 model year to 628,347 vehicles in the 2014 model year. Although Honda dropped the Fit EV in model year 2015 and GM sales of models using HFO-1234yf declined, both FCA and Jaguar Land Rover increased their offerings of vehicles using HFO-1234yf, contributing to a tripling of the number of vehicles using this refrigerant in the 2015 model year. The 2016 model year continued to show growth in the use of the new refrigerant, but no new manufacturers took up the refrigerant in 2016. Although use of HFO-1234yf decreased by FCA, who continues to produce more vehicles with this refrigerant than any other manufacturer, GM, Honda, and Jaguar Land Rover all increased their production of vehicles using it. Honda, in fact, was the principle driver in an almost 25 percent increase in vehicles using HFO-1234yf in the 2016 model year. Industry-wide, 13 percent of 2016 model year vehicles are using HFO-1234yf, with FCA accounting for almost 70 percent of vehicles using the new refrigerant. Jaguar Land Rover continues to have the greatest penetration within their fleet, using HFO-1234yf in 100 percent of vehicles produced in the 2016 model year. The net impact on credits is that these manufacturers collectively generated 3.8 million more Megagrams of A/C leakage credits than they would have generated by using HFC-134a. FCA accounts for most of these credits, accumulating 2.6 million Megagrams more than they would have had they used HFG134a. Table 3-11 shows the aggregated production volume of vehicles using HFO-1234yf for the 2012-2016 model years, by manufacturer. 28 See 40 CFR 86.1867-12. 29 The global warming potential (GWP) represents how much a given mass of a chemical contributes to global warming over a given time period compared to the same mass of carbon dioxide. Carbon dioxide's GWP is defined as 1.0. -34- ------- Table 3-11. Production of Vehicles Using HFO-1234yf, 2013-2016 Model Years Manufacturer 2013 2014 2015 2016 Total GM 41,913 30,652 16,298 32,775 121,638 Honda 471 599 541,393 542,463 Jaguar Land Rover 56,604 62,316 114,580 233,500 540,098 1,683,956 1,504,046 Total 42,384 627,953 1,762,570 2,192,794 4,625,701 fFCA is listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. Fourteen manufacturers reported A/C leakage credits in the 2016 model year, as shown in Table 3-12. These manufacturers reported more than 20 million Mg of A/C leakage credits in 2016, accounting for GHG reductions of 6 g/mi across the 2016 vehicle fleet. Table 3-13 shows the leakage credits in grams per mile for the 2012-2016 model years. -35- ------- Table 3-12. Reported A/C Leakage Credits by Manufacturer and Fleet, 2016 Model Year (Mg) Grams/mile Equivalent of Manufacturer Car Truck Total Total Credits BMW 261,750 156,928 418,678 5 Ford 1,202,274 1,951,941 3,154,215 7 GM 1,529,206 2,043,970 3,573,176 7 Honda 1,242,114 784,533 2,026,647 5 Hyundai 372,376 7,202 379,578 3 Jaguar Land Rover 45,546 379,462 425,008 17 Kia 283,543 97,287 380,830 3 Mercedes 236,227 176,030 412,257 6 Mitsubishi 14,092 72,505 86,597 5 Nissan 746,573 633,442 1,380,015 5 Toyota 897,532 1,529,031 2,426,563 5 Volvo 31,954 95,407 127,361 7 FCAf 1,509,550 4,537,811 6,047,361 14 Volkswagenf 392,728 191,593 584,321 Fleet Total 8,765,465 12,657,142 21,422,607 6 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -36- ------- Table 3-13. A/C Leakage Credits, 2012-2016 Model Years (g/mi) 2012 Model Year 2013 Model Year 2014 Model Year 2015 Model Year 2016 Model Year Manufacturer Car Truck All Car Truck All Car Truck All Car Truck All Car Truck All BMW 4 7 5 4 7 5 4 7 5 5 7 5 5 7 5 Ford 4 7 6 5 7 7 6 8 7 6 8 7 6 8 7 GM 6 7 6 6 7 7 6 7 7 6 7 6 6 7 7 Honda 1 2 2 1 3 2 1 3 2 2 4 2 6 5 5 Hyundai 2 5 2 2 4 2 2 3 2 3 4 3 3 2 3 Jaguar Land Rover 3 4 4 3 5 4 7 17 15 9 17 15 14 17 17 Kia 2 2 2 2 5 2 2 3 2 2 3 2 3 3 3 Mercedes 4 7 5 4 7 5 5 7 5 5 7 6 5 7 6 Mitsubishi - - - - - - - - - - - - 3 7 5 Nissan 0 2 1 0 2 1 2 4 3 4 6 4 4 7 5 Toyota 3 3 3 3 3 3 4 4 4 4 4 4 3 7 5 Volvo 6 8 7 6 7 7 6 7 7 5 8 6 5 7 7 FCAf 6 8 7 6 8 7 9 10 9 13 15 14 12 15 Volkswagenf 2 4 2 3 5 3 4 7 5 5 7 5 5 7 Fleet Total 3 5 4 3 6 4 4 6 5 5 7 6 5 8 6 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "AN" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -37- ------- 2. Air Conditioning Efficiency Credits Manufacturers that make improvements in their A/C systems to increase efficiency, thus reducing CO2 emissions due to A/C system operation, may be eligible for A/C efficiency credits. Most of the additional load on the engine from A/C systems comes from the compressor, which pressurizes the refrigerant and pumps it around the system loop. A significant additional load on the engine may also come from electric or hydraulic fans, which are used to move air across the condenser, and from the electric blower, which is used to move air across the evaporator and into the cabin. Manufacturers have several technological options for improving efficiency, including more efficient compressors, fans, and motors, and system controls that avoid over-chilling the air (and subsequently re-heating it to provide the desired air temperature with an associated loss of efficiency). For vehicles equipped with automatic climate-control systems, real-time adjustment of several aspects of the overall system (such as engaging the full capacity of the cooling system only when it is needed, and maximizing the use of recirculated air) can result in improved efficiency. The regulations provide manufacturers with a "menu" of technologies and associated credit values (in grams per mile of CO2). Credits are capped at 5.7 g/mi for all vehicles in the 2012- 2016 model years, and at 5.0 and 7.2 g/mi for cars and trucks, respectively, in the 2017 and later model years. The total tons of credits are then based on the total volume of vehicles in a model year using these technologies. Fifteen manufacturers used the provisions that allow credits based on improvements to the overall efficiency of the A/C system, as shown in Table 3-14. These manufacturers reported a total of more than 12 million Mg of A/C efficiency credits in the 2016 model year, accounting for about 4 g/mi across the 2016 fleet. Table 3-15 shows the efficiency credits in grams per mile for the 2012-2016 model years. -38- ------- Table 3-14. Reported A/C Efficiency Credits by Manufacturer and Fleet, 2016 Model Year (Mg) Grams/Mile Equivalent of Manufacturer Car Truck Total Total Credits BMW 241,276 97,329 338,605 4 Ford 533,799 877,364 1,411,163 3 GM 877,339 1,323,933 2,201,272 4 Honda 624,733 512,895 1,137,628 3 Hyundai 520,949 16,754 537,703 4 Jaguar Land Rover 18,814 125,753 144,567 6 Kia 381,366 121,382 502,748 3 Mercedes 233,353 131,987 365,340 5 Nissan 562,084 233,228 795,312 3 Subaru 88,364 246,860 335,224 3 Tesla 51,263 51,263 6 Toyota 1,314,746 945,443 2,260,189 5 Volvo 20,754 54,165 74,919 4 FCAf 601,135 1,309,446 1,910,581 4 Volkswagenf 275,942 136,930 412,872 4 Fleet Total 6,345,917 6,133,469 12,479,386 4 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -39- ------- Table 3-15. A/C Efficiency Credits, 2012-2016 Model Years (g/mi) 2012 Model Year 2013 Model Year 2014 Model Year 2015 Model Year 2016 Model Year Manufacturer Car Truck All Car Truck All Car Truck All Car Truck All Car Truck All BMW 3 4 3 4 4 4 4 4 4 4 4 4 4 4 4 Ford 0 0 0 2 1 1 2 2 2 3 3 3 3 3 3 GM 2 1 2 3 2 3 3 4 4 3 4 4 4 4 4 Honda 2 3 2 2 3 2 2 3 3 2 3 3 3 3 3 Hyundai 2 2 2 3 4 3 4 4 4 4 4 4 4 4 4 Jaguar Land Rover 2 4 4 2 4 4 5 6 5 5 6 6 6 6 6 Kia 2 1 2 2 3 3 4 2 4 4 3 4 3 3 3 Mercedes 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 Nissan 2 2 2 3 2 3 3 2 3 3 2 3 3 3 3 Subaru 2 2 2 1 2 2 1 2 2 3 2 2 3 3 3 Tesla 6 - 6 6 - 6 6 - 6 6 - 6 6 - 6 Toyota 4 2 3 4 3 4 5 3 4 4 4 4 5 4 5 Volvo 4 4 4 4 4 4 1 1 1 3 1 2 3 4 4 FCAf 3 2 3 3 3 3 4 4 4 4 5 5 5 4 4 Volkswagenf 4 5 4 4 5 4 4 5 4 4 5 4 3 5 4 Fleet Total 2 2 2 3 2 3 3 3 3 3 4 4 4 4 4 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "AN" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -40- ------- E. Credits Based on "Off-Cycle" Technology "Off-cycle" emission reductions can be achieved by employing technologies that result in real-world benefits, but where that benefit is not adequately captured on the test procedures used by manufacturers to demonstrate compliance with emission standards. EPA's light-duty vehicle greenhouse gas program acknowledges these benefits by giving automobile manufacturers three pathways by which a manufacturer may accrue off-cycle CO2 credits. The first is a predetermined list or "menu" of credit values for specific off-cycle technologies that may be used beginning in model year 2014.30 This pathway allows manufacturers to use conservative credit values established by EPA for a wide range of off-cycle technologies, with minimal data submittal or testing requirements. This pathway was widely used in the 2016 model year. In cases where additional laboratory testing can demonstrate emission benefits, a second pathway allows manufacturers to use a broader array of emission tests (known as "5- cycle" testing because the methodology uses five different testing procedures) to demonstrate and justify off-cycle CO2 credits.31 The additional emission tests allow emission benefits to be demonstrated over some elements of real-world driving not captured by the GHG compliance tests, including high speeds, rapid accelerations, and cold temperatures. Credits determined according to this methodology do not undergo additional public review. GM is currently the only manufacturer to have used this pathway in the 2012-2016 model years. The third and last pathway allows manufacturers to seek EPA approval to use an alternative methodology for determining the off-cycle technology CO2 credits.32 This option is only available if the benefit of the technology cannot be adequately demonstrated using the 5- cycle methodology. Manufacturers may also use this option for model years prior to 2014 to demonstrate off-cycle CO2 reductions for off-cycle technologies that are on the menu, or to demonstrate reductions that exceed those available via use of the menu. Several manufacturers have petitioned for and been granted credits using this pathway.33 Table 3-16 shows the total off-cycle technology credits reported by manufacturers in the 2016 model year and the grams per mile impact on their respective fleets. Clearly the technologies involved are currently implemented to varying degrees across manufacturers, accounting for anywhere from zero g/mi (the manufacturers not shown in Table 3-16) to 6.1 g/mi for FCA. Off-cycle credits from these 12 manufacturers accounted for a benefit of 3 g/mi across the entire 2015 model year fleet. Table 3-17 shows the off-cycle credits in grams per mile for the 2012-2015 model years. Although GM did generate off-cycle credits in the 2012 and 2013 model years, the grams per 30 See 40 CFR 86.1869-12(b). 31 See 40 CFR 86.1869-12(c). 32 See 40 CFR 86.1869-12(d). 33 EPA maintains a web page on which we publish the manufacturers' applications for these credits, the relevant Federal Register notices, and the EPA decision documents. See https://www.epa.gov/vehicle-and-engine- certification/compliance-information-light-duty-greenhouse-gas-ghg-standards. -41- ------- mile equivalent of those credits rounds to 0.0, as shown, as is also the case for Subaru in model year 2014. Table 3-16. Reported Off-Cycle Technology Credits by Manufacturer and Fleet, 2016 Model Year (Mg) Grams/Mile Equivalent of Total Manufacturer Car Truck Total Credits BMW 213,889 155,758 369,647 5 Ford 330,086 936,002 1,266,088 3 GM 662,961 1,227,378 1,890,339 3 Honda 354,307 379,221 733,528 2 Hyundai 162,564 21,408 183,972 1 Jaguar Land Rover 10,018 169,333 179,351 7 Kia 146,732 118,830 265,562 2 Mercedes 155,616 81,796 237,412 4 Nissan 339,915 251,409 591,324 2 Subaru 10,458 22,531 32,989 0 Toyota 360,276 762,051 1,122,327 2 FCAf 389,320 2,474,713 2,864,033 Fleet Total 3,136,142 6,600,430 9,736,572 3 fFCA is listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -42- ------- Table 3-17. Off-Cycle Technology Credits by Manufacturer and Fleet, 2012-2016 Model Years (g/mi) 2012 Model Year 2013 Model Year 2014 Model Year 2015 Model Year 2016 Model Year Manufacturer Car Truck All Car Truck All Car Truck All Car Truck All Car Truck All BMW 3 5 3 3 6 4 3 6 4 4 7 4 4 7 5 Ford 1 0 0 1 1 1 2 3 3 2 3 3 2 4 3 GM 1 2 1 1 2 1 1 3 2 2 4 3 3 4 3 Honda - - - - - 1 2 1 1 2 2 2 2 2 Hyundai - - - - - 1 4 1 1 3 2 1 5 1 Jaguar Land Rover - - - - - 2 6 5 2 5 5 3 8 7 Kia - - - - - 1 1 1 1 2 1 1 3 2 Mercedes 1 0 0 1 1 1 3 1 2 4 3 3 4 3 4 Nissan - - - - - 1 2 2 2 3 2 2 3 2 Subaru - - - - - - 0 0 0 0 0 0 0 0 Toyota - - - - - 2 3 3 3 3 3 1 3 2 FCAf 1 2 2 1 3 2 3 7 6 3 7 6 3 8 7 Volkswagenf 1 1 1 1 1 1 Fleet Total 0 1 1 1 1 1 2 4 3 2 4 3 2 4 3 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "AN" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -43- ------- 1. Off-Cycle Credits Based on the Menu Starting with 2014 models, manufacturers have an option for generating GHG credits, in the form of "default" credit values specified in the regulations (a "menu" of technologies with credit values, or the calculation method for such values, clearly defined) for certain off- cycle technologies installed on vehicles. More than 95 percent of 2016 off-cycle credits were generated via this pathway, and for all but GM it was the sole pathway used to generate off- cycle credits. The impact of credits from this pathway on a manufacturer's fleet is capped at 10 g/mi, meaning that any single vehicle might accumulate more than 10 g/mi, but the cumulative effect on a single manufacturer's fleet may not exceed a credit, or reduction, of more than 10 g/mi. Table 3-18 shows the total off-cycle credits based on the menu pathway reported by manufacturers in the 2016 model year and the grams per mile impact on their respective fleets. Table 3-18. Reported Off-Cycle Technology Credits from the Menu, by Manufacturer and Fleet, 2016 Model Year (Mg) Grams/Mile Equivalent of Manufacturer Car Truck Total Total Credits BMW 213,889 155,758 369,647 5 Ford 330,086 936,002 1,266,088 3 GM 580,113 972,808 1,552,921 3 Honda 354,307 379,221 733,528 2 Hyundai 162,564 21,408 183,972 1 Jaguar Land Rover 10,018 169,333 179,351 7 Kia 146,732 118,830 265,562 2 Mercedes 155,616 81,796 237,412 4 Nissan 339,915 251,409 591,324 2 Subaru 10,458 22,531 32,989 0 Toyota 360,276 762,051 1,122,327 2 FCAf 389,320 2,474,713 2,864,033 Fleet Total 3,053,294 6,345,860 9,399,154 3 fFCA is listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. Tables 3-19 and 3-20 provide details regarding the specific off-cycle technologies, including how many credits were reported for each technology, and the implementation rate of each off-cycle technology by manufacturers. Several of these technologies are "thermal control technologies" in that they reduce the demand on the A/C system by venting hot air, by -44- ------- moving heat away from passengers, or by reducing cabin heating from the sun. Due to expected synergistic effects of the thermal technologies, the credits from the group of thermal control technologies are capped at 3.0 g/mi for cars and 4.3 g/mi for trucks. Because this category of credits is capped, the actual credits attributable to each technology in this category can't be accurately summarized. For example, credits for a car with active cabin ventilation (2.1 g/mi), active seat ventilation (1.0 g/mi), and reflective paint (0.4 g/mi) would total to 3.5 g/mi, thus exceeding the cap by 0.5 g/mi. Credits for this car would have to be truncated at 3.0 g/mi, and there is no non-arbitrary methodology to assign that 3.0 g/mi to the array of technologies involved. It's even possible that a manufacturer with such a car would not even bother to include credits for paint, since credits from the other two technologies have already exceeded the cap. Therefore, this report can only detail the credits derived from the overall category, but not from the individual technologies in the category. The per-vehicle grams per mile credit varies between cars and trucks; for example, the credit available for active seat ventilation is 1 g/mi for cars and 1.3 g/mi for trucks. The regulations clearly define each technology and any requirements that apply for the technology to generate credits. The definitions may be summarized as follows: • Active aerodynamics - These technologies are automatically activated to improve the aerodynamics of a vehicle under certain conditions. These include grill shutters, which allow air to flow around the vehicle more efficiently, and suspension systems that improve air flow at higher speeds by reducing the height of the vehicle. Credits are variable and based on the measured improvement in the coefficient of drag, a test metric that reflects the efficiency of airflow around a vehicle. • Thermal control technologies - These systems reduce the air temperature of the vehicle interior, lowering GHG tailpipe emissions by reducing the fuel demand on the A/C system. Thermal control technologies are subject to a per-vehicle cap on credits of 3.0 g/mi for cars and 4.3 g/mi for trucks. o Active and passive cabin ventilation -Active systems use mechanical means to vent the interior, while passive systems rely on ventilation through convective air flow. Credits range from 1.7 to 2.8 g/mi. o Active seat ventilation - These systems move air through the seating surface, transferring heat away from the vehicle occupants. Credits are 1.0 g/mi for cars and 1.3 g/mi for trucks, o Glass or slazins - Credits are available for glass or glazing technologies that reduce the total solar transmittance through the glass, thus reducing the heat from the sun that reaches the occupants. The credits are calculated based on the measured solar transmittance through the glass and on the total area of glass on the vehicle. o Solar reflective surface coating - Credits are available for solar reflective surface coating (e.g., paint) that reflects at least 65 percent of the infrared solar energy. Credits are 0.4 g/mi for cars and 0.5 g/mi for trucks. • Active engine and transmission ivarmub - These systems use heat from the vehicle that would typically be wasted (exhaust heat, for example) to warm up key elements of the -45 - ------- engine, allowing a faster transition to warm operation. A warmed up engine and/or transmission consumes less fuel and emits less tailpipe CO2. Systems that use a single heat-exchanging loop that serves both transmission and engine warmup functions are eligible for either engine or transmission warmup credits, but not both. o Active engine warmup - Uses waste heat from the engine to warm up the engine. Credits are 1.5 g/mi for cars and 3.2 g/mi for trucks, o Active transmission warmup - Uses waste heat from the engine to warm up the transmission. Credits are 1.5 g/mi for cars and 3.2 g/mi for trucks. • Engine idle stop-start - These systems allow the engine to turn off when the vehicle is at a stop (e.g., at a stoplight), automatically restarting the engine when the driver releases the brake and/or applies pressure to the accelerator. If equipped with a switch to disable the system, EPA must determine that the predominant operating mode of the system is the "on" setting (defaulting to "on" every time the key is turned on is one basis for such a determination). Thus some vehicles with these systems are not eligible for credits. Credits range from 1.5 to 4.4 g/mi, and depend on whether the system is equipped with an additional technology that allows heat, when demanded, to continue to be circulated to the vehicle occupants when the engine is off during a stop-start event. • High, efficiency exterior lights - These lights reduce the total electric demand, and thus the fuel consumption and GHG emissions, of the lighting system in comparison to conventional lighting technologies. Credits are based on the specific lighting locations, ranging from 0.06 g/mi for turn signals and parking lights to 0.38 g/mi for low beams. The total of all lighting credits may not exceed 1.0 g/mi. • Solar panels - Vehicles that use batteries for propulsion, such as electric, plug-in hybrid electric, and hybrid vehicles may receive credits for solar panels that are used to charge the battery directly or to provide power directly to essential vehicle systems (e.g., heating and cooling systems). Credits are based on the rated power of the solar panels. -46- ------- Table 3-19. Off-Cycle Technology Credits from the Menu by Technology, 2016 Model Year (Mg)* Grams/Mile Equivalent of Off-Cycle Technology Car Truck Total Total Active Aerodynamics Grill shutters 215,801 423,866 639,667 0.2 Ride height adjustment 61 7,075 7,136 0.0 Subtotal: 215,862 430,941 646,803 0.2 Thermal Control Technologies Passive cabin ventilation N/A Active cabin ventilation N/A Active seat ventilation N/A Glass or glazing N/A Solar reflective surface coating N/A Subtotal: 922,865 2,616,304 3,539,169 1.0 Engine & Transmission Warmup Active engine warmup 485,989 1,182,173 1,668,162 0.5 Active transmission warmup 665,715 1,107,216 1,772,931 0.5 Subtotal: 1,151,704 2,289,389 3,441,093 1.0 Other Engine idle stop-start 396,464 622,385 1,018,849 0.3 High efficiency exterior lights 366,356 386,841 753,197 0.2 Solar panel(s) 43 - 43 0.0 Subtotal: 762,863 1,009,226 1,772,089 0.5 Total 3,053,294 6,345,860 9,399,154 3 *Credits are not always reported by manufacturers in a format that shows the total credits for each technology as we show here. For the purposes of this report we have used the data from manufacturers to calculate the credits shown in this table. Table 3-20 shows the percent of each manufacturers' production volume using each of the "menu" technologies, i.e., the penetration rate of a given technology within a manufacturer's fleet. The totals of the manufacturer rows are not provided, as they would sum to more than 100% and are not meaningful values, reflecting only that some vehicles are equipped with multiple off-cycle technologies. The data is not currently collected in a format across all manufacturers that allows a determination of how many vehicles have at least one off-cycle technology or how many technologies are on a given vehicle, thus the total would only indicate how many individual technologies were used to generate credits. Note that a value of zero indicates use of a technology, but at a rate less than 0.5 percent, thus rounding to zero. As was the case in the previous model year, there was significant penetration of glass or glazing technology across these manufacturers, with a majority of them reporting installing this technology on more than 50 percent of their vehicles, and three manufacturers approaching a 100 percent implementation rate (FCA, Jaguar Land Rover, and Kia). High -47- ------- efficiency lighting is another technology with high penetration across a number of manufacturers; all manufacturers reported implementation on at least half of their fleet, and Jaguar Land Rover and BMW at or near 100 percent. Relative to the 2015 model year, the use of engine idle stop-start systems almost doubled, reaching 10 percent of the 2016 model year fleet. With 100 percent implementation, Jaguar Land Rover had the highest proportion of vehicles equipped with engine idle stop-start, with Mercedes following at over 80 percent. The most "popular" technologies across the manufacturers were high efficiency lights and engine idle stop-start systems, both of which were employed by more than 10 manufacturers, followed by active aerodynamic grill shutters and active seat ventilation, which were used by 10 and 9 manufacturers, respectively. Although active seat ventilation was used by many manufacturers, it remains a technology with limited offering, appearing on only about five percent of the 2016 model year fleet, with Jaguar Land Rover appearing the outlier with implementation on more almost 60 percent of their vehicles (this is consistent with this technology being largely limited to luxury brands or models). The most widely used off-cycle technology across the fleet was high efficiency lighting, which was installed on almost 10 million vehicles, or about 60 percent of the fleet. FCA was the leader in terms of the number of technologies used to generate off-cycle credits, gaining GHG reductions from ten unique technologies implemented at varying rates across their fleets. FCA used every menu technology except active cabin ventilation and solar panels. As noted previously, it is possible that some of the thermal control technologies are under-reported due to the cap on the credits allowed from that category. Table 3-21 shows the grams per mile benefit that each manufacturer accrued from each off- cycle technology. Like the preceding table, this demonstrates the mix of technologies being used across the manufacturers and the extent to which each technology benefits each manufacturer's fleet. FCA and Jaguar Land Rover can be singled out as the manufacturers reporting the greatest benefits from off-cycle technologies (7 g/mi), with most other manufacturers gaining in the range of 2-4 g/mi from these off-cycle technologies. A closer look shows different strategies across these manufacturers of varying sizes and product lines. Jaguar Land Rover used a high penetration of engine idle stop-start and thermal control technologies to get most of their benefit, while BMW achieved most of theirs by use of thermal control and active engine warm-up technologies. FCA achieved half of their benefit from thermal control technologies, and most of the remainder from active engine and transmission warm-up strategies. Jaguar Land Rover, which, as noted earlier, has made very large GHG reductions across their fleet since the start of the program, gained half of their 7 g/mi of off-cycle credits through adoption of stop-start systems across the vast majority of their product line. Only Mercedes has approached this implementation rate for engine idle stop-start systems, accounting for more than half of their 4 g/mi benefit. -48- ------- Table 3-20. Percent of 2016 Model Year Vehicle Production Volume with Credits from the Menu, by Manufacturer & Technology (%) Active Aerodynamics Thermal Control Technologies Engine & Transmission Warmup Other u Ł c 00 c N 01 '5 00 c 01 e E Q. O •*-* 5" >/> c Ł IA 01 4-" 4-" 3 -E -C tw> '5 -C E 01 E 4-" !q (0 u CD > c o 15 (D U u < +¦» c Q) > > +¦» C U Q1 < > (A (A (0 U (0 o to (0 H- 3 l/l > E "¦0 re < 5 .> u (A E (0 4-" E (0 g Engin start -C 01 00 X X 01 (0 o to BMW 3 - - 94 8 0 - 71 - 3 97 - Ford 74 - - - - - - 30 21 11 59 - GM 15 - - - 9 62 21 26 - 15 67 - Honda - - - - 3 - - - 79 3 83 - Hyundai 4 - - - 11 69 - - 37 3 50 - Jaguar Land Rover 38 - - - 58 100 - - - 100 100 - Kia 1 - - - 11 99 - - 37 1 50 - Mercedes - - - - 17 5 - - - 81 81 - Nissan 27 - - - 5 - 17 16 71 1 66 0 Subaru 34 - - - - - - - - - 48 - Toyota 4 0 - - - - - 20 - 9 59 - FCAf 28 2 92 - 11 99 3 51 23 12 69 - Fleet Total 20 0 11 2 5 30 5 20 23 10 61 0 fFCA is listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -49- ------- Table 3-21. Model Year 2016 Off-Cycle Technology Credits from the Menu, by Manufacturer and Technology (g/mi) Active Aerodynamics Engine & Transmission Warmup Other u 01 4-> Ride height adjustment 01 c '5b C o o C W o .3! u g> Oj 4-> > u E 01 (A 4-> -E .2P "vt "a3 Manufacturer 3 -E l/l u Q) Q) > u <; warmup Active transmis warmup 11 01 u -C 01 1- 1- Q) C '5b c LU stop-stai *4— 4— 01 .60 X 0 01 4-> X 01 re Q. (0 o in Total BMW 0.0 - 1.5 - 2.3 0.1 0.7 5 Ford 1.0 - 0.7 0.6 - 0.4 0.2 - 3 GM 0.1 - 0.5 - 1.7 0.3 0.3 - 3 Honda - - - 1.6 0.0 0.1 0.3 - 2 Hyundai 0.0 - - 0.6 0.5 0.0 0.1 - 1 Jaguar Land Rover 0.2 - - - 2.5 3.6 0.8 - 7 Kia 0.0 - - 0.8 0.9 0.0 0.1 - 2 Mercedes - - - - 0.2 2.4 0.9 - 4 Nissan 0.1 - 0.3 1.5 0.1 0.0 0.2 0.0 2 Subaru 0.2 - - - - - 0.1 - 0 Toyota 0.0 0.0 0.5 - 1.3 0.3 0.2 - 2 0.2 0.0 1.5 0.8 3.4 0.5 0.2 - Fleet Total 0.2 0.0 0.5 0.5 1.0 0.3 0.2 0.0 3 fFCA is listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "AN" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. Note that "0.0" indicates that the manufacturer did implement that technology, but that the overall penetration rate was not high enough to round to 0.1 g/mi, whereas a dash indicates no use of a given technology by a manufacturer. 2. Off-Cycle Technology Credits Based on 5-Cycle Testing As was the case in the 2012-2015 model years, GM is the only manufacturer to have requested and been granted off-cycle credits based on 5-cycle testing. These credits are for an off-cycle technology used on certain GM gasoline-electric hybrid vehicles. The technology is an auxiliary electric pump, which keeps engine coolant circulating in cold weather while the vehicle is stopped and the engine is off. GM received off-cycle credits in the early credits program for hybrid full size pick-up trucks that were equipped with this technology. In the 2012 model year, the technology was expanded to include two Buick hybrid passenger car models. In the 2013 model year the technology was applied to GM's full-size hybrid trucks as well as the Buick LaCrosse, Buick Regal, and Chevrolet Malibu models equipped with GM's "eAssist" technology. The 2014 model year GM vehicles receiving this credit were the eAssist-equipped Buick LaCrosse, Buick Regal, Chevrolet Malibu, and Chevrolet Impala. In -50- ------- the 2015 and 2016 model years, die eAssist-equipped vehicles were die Buick LaCrosse, Buick Regal, and Chevrolet Malibu, totaling almost 100,000 vehicles in the 2016 model year. These vehicles feature engine stop-start capability for improved fuel economy, and as a result the engine can frequently be turned off when the vehicle is stopped, such as at a traffic light, resulting in real-world fuel savings. However, during cold weather, a hybrid vehicle without the auxiliary heater pump would need to keep the engine idling during the stop periods solely to maintain coolant flow to the heater to maintain a comfortable temperature inside the vehicle. This would reduce the fuel economy benefits of the stop-start feature during cold weather, which is an "off-cycle" temperature condition not captured by the greenhouse gas compliance test methods. The off-cycle credits reported by GM in the 2009- 2016 model years are shown in Table 3-22. The calculated fleet-wide grams per mile benefit would round to zero because of the low volume of these credits, thus the table does not display these credits in equivalent grams per mile. Table 3-22. Reported Off-Cycle Credits Based on 5-Cycle Testing for GM, by Model Year and Fleet (Mg) Model Year Car Truck Total 2009 - 3,329 3,329 2010 - 965 965 2011 - 1,338 1,338 2012 4,984 838 5,822 2013 13,330 819 14,149 2014 46,505 - 46,505 2015 70,233 - 70,233 2016 27,814 - 27,814 Total 162,866 7,289 170,155 3. Off-Cycle Technology Credits Based on an Alternative Methodology This third pathway for off-cycle technology credits allows manufacturers to seek EPA approval to use an alternative methodology for determining the off-cycle technology CO2 credits.34 This option is only available if the benefit of the technology cannot be adequately demonstrated using the 5-cycle methodology. Manufacturers may also use this option for model years prior to 2014 to demonstrate off-cycle CO2 reductions for off-cycle technologies that are on the menu, or to demonstrate reductions that exceed those available via use of the menu. The regulations require that EPA seek public comment on and publish each manufacturer's application for credits sought using this pathway. Several manufacturers have petitioned for and been granted credits using this pathway.35 34 See 40 CFR 86.1869-12(d). 35 EPA maintains a web page on which we publish the manufacturers' applications for these credits, the relevant Federal Register notices, and the EPA decision documents. See https://www.epa.gov/vehicle-and-engine- certification/compliance-information-light-duty-greenhouse-gas-ghg-standards. -51- ------- In the fall of 2013, Mercedes requested off-cycle credits for the following off-cycle technologies in use or planned for implementation in the 2012-2016 model years: stop-start systems, high-efficiency lighting, infrared glass glazing, and active seat ventilation. EPA approved methodologies for Mercedes to determine these off-cycle credits in September of 2014.30 Subsequently, FCA, Ford, and GM requested off-cycle credits under this pathway. FCA and Ford submitted applications for off-cycle credits from high efficiency exterior lighting, solar reflective glass/glazing, solar reflective paint, and active seat ventilation. Ford's application also demonstrated off-cycle benefits from active aerodynamic improvements (grill shutters), active transmission warm-up, active engine warm-up technologies, and engine idle stop-start. GM's application described the real-world benefits of an A/C compressor made by Denso with variable crankcase suction valve technology. EPA approved the credits for FCA, Ford, and GM in September of 20 1 5.37 EPA approved additional credits under this pathway in January of 2017 for BMW, Ford, GM, and Volkswagen.38 Most of the credits that have been approved have been for credits for previous model years, and thus won't be included in the detailed reporting in this section for the 2016 model year. Credit balances have been updated to include retroactive credits that have been reported to EPA, thus any relevant tables that included data from previous model years will reflect the addition of these credits. GM is the only manufacturer to report credits via this pathway in the 2016 model year, for the Denso A/C compressor. They reported 309,604 Mg of credits from this technology in the 2016 model year. F. Deficits Based on Methane and Nitrous Oxide Standards EPA finalized emission standards for methane (CH4) and nitrous oxide (N2O) emissions as part of the rule setting the 2012-2016 model year GHG standards. The standards that were set in that rulemaking were 0.010 g/mi for N2O and 0.030 g/mi for CH4. These standards were established to cap emissions of GHGs, given that current levels of CH4 and N2O are generally significantly below these established standards. These capping standards were intended to prevent future increases in emissions of these GHGs, and were generally not expected to result in the application of new technologies or significant costs for manufacturers using current designs. There are three different ways for a manufacturer to demonstrate compliance with these standards. First, and used by most manufacturers, manufacturers may demonstrate compliance with these standards with test data as they do for all other non-GHG emission standards. Because there are no credits or deficits involved with this approach, and there are no consequences with respect to the CO2 fleet average calculation, the manufacturers are 36 "EPA Decision Document: Mercedes-Benz Off-cycle Credits for MYs 2012-2016," U.S. EPA-420-R-14-025, Office of Transportation and Air Quality, September 2014. 37 "EPA Decision Document: Off-cycle Credits for FCA Automobiles, Ford Motor Company, General Motors Corporation, and Volkswagen Group of America" U.S. EPA-420-R-15-014, Office of Transportation and Air Quality, September 2015. 38 "EPA Decision Document: Off-cycle Credits for BMW Group, Ford Motor Company, and General Motors Corporation," U.S. EPA-420-R-17-003, Office of Transportation and Air Quality, January 2017. -52- ------- not required to submit this data as part of their GHG reporting and hence this GHG compliance report does not include information from manufacturers using this option. Second, EPA also allows an alternative COz-equivalent standard option, which manufacturers may choose in lieu of complying with the cap standards. This COz-equivalent standard option allows manufacturers to include CH4 and N2O, on a COz-equivalent basis, in their CO2 emissions fleet average compliance level. This is done without adjusting the fleet average CO2 standard to account for the addition of CH4 and N2O emissions. Manufacturers that choose this option are required to include the CH4 and N2O emissions of all their vehicles for the purpose of calculating their fleet average. In other words, the value of CREE (the carbon-related exhaust emissions, as described earlier) for these manufacturers will include CO2, hydrocarbons, and carbon monoxide, as well as CH4 and N2O emissions (which are adjusted to account for their higher global warming potential than CO2), for all their vehicles. Analyses of emissions data have shown that use of this option may add approximately 3 g/mi to a manufacturer's fleet average. Only Mazda and Subaru chose to use this approach in the 2016 model year. The third option for complying with the CH4 and N2O standards was initially limited to the 2012-2014 model years, but was subsequently expanded to include all model years of the program. Under this approach, manufacturers can essentially define an alternative, less stringent CH4 and/or N2O standard for any vehicle that may have difficulty meeting the specific standards. This alternative standard is treated as any other emission standard in that it must be met for the full useful life of the vehicle. This method provides some additional flexibility relative to the other two options in that (1) a manufacturer can target specific vehicles for alternative standards without incurring a fleet-wide impact, and (2) CH4 and N2O are delinked, in that a manufacturer can meet the default regulatory standard for one and select an alternative standard for the other. However, the key aspect of this approach is that manufacturers that use it must calculate a deficit (in Megagrams) based on the less stringent standards and on the production volumes of the vehicles to which those standards apply. Eight manufacturers made use of the flexibility offered by this approach in the 2016 model year, as shown in Table 3-23. Like any other deficit, these deficits must ultimately be offset by CO2 credits. While these deficits could be carried forward to the next three model years like other deficits, all of the manufacturers using this approach were able to cover these incremental deficits with credits, either carried forward from 2010-2015 or generated in 2016. -53- ------- Table 3-23. Reported CH4 and N2O Deficits by Manufacturer and Fleet, 2016 Model Year (Mg) Car Truck Grams/Mile Manufacturer ch4 NzO ch4 NzO Total Equivalent of Total BMW 879 6,982 1,130 8,976 17,967 0.2 Ford 8,479 3,489 78,171 56,591 146,730 0.3 GM 2,922 - 11,055 17,554 31,531 0.1 Mazda - - - 6,763 6,763 0.1 Nissan 4,401 56,360 7,320 87,252 155,333 0.6 Toyota - 18,288 - 24,344 42,632 0.1 FCAf 38 - 5,071 - 5,109 0.0 Volkswagenf 200 1,096 481 3,546 5,323 0.0 Fleet Total 16,919 86,215 103,228 205,026 411,388 0.1 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. Tables 3-24 and 3-25 show the grams per mile equivalent CH4 and N2O deficits for the 2012- 2016 model years. As in all of the tables in this document, the final Fleet Total row indicates the impact across the entire fleet, including manufacturers and vehicles that did not participate in the alternative CH4 and/or N2O standards. -54- ------- Table 3-24. CH4 Deficits by Manufacturer and Fleet, 2012-2016 Model Years (g/mi) Manufacturer 2012 Model Year 2013 Model Year 2014 Model Year 2015 Model Year 2016 Model Year Car Truck All Car Truck All Car Truck All Car Truck All Car Truck All BMW 0.0 0.3 0.1 0.0 0.1 0.0 0.1 0.1 0.1 0.0 0.2 0.1 0.0 0.1 0.0 Ford 0.1 0.2 0.1 0.1 0.2 0.1 0.1 0.2 0.1 0.1 0.2 0.2 0.0 0.3 0.2 GM 0.1 0.4 0.2 0.1 0.4 0.2 0.0 0.2 0.1 0.0 0.0 0.0 0.0 0.0 0.0 Nissan 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.0 0.1 0.0 FCAf 0.1 0.1 0.1 0.0 0.0 0.0 0.0 0.1 0.1 0.0 0.0 0.0 0.0 0.0 0.0 Volkswagenf 0.6 0.1 0.5 0.5 0.0 0.5 0.5 0.0 0.4 0.0 0.0 0.0 0.0 0.0 0.0 Fleet Total 0.1 0.1 0.1 0.1 0.1 0.1 0.0 0.1 0.1 0.0 0.1 0.0 0.0 0.1 0.0 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "AN" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. Table 3-25. N2O Deficits by Manufacturer and Fleet, 2012-2016 Model Years (g/mi) Manufacturer 2012 Model Year 2013 Model Year 2014 Model Year 2015 Model Year 2016 Model Year Car Truck All Car Truck All Car Truck All Car Truck All Car Truck All BMW 0.0 1.1 0.3 0.0 0.2 0.1 0.6 0.6 0.6 0.2 1.3 0.4 0.1 0.4 0.2 Ford 0.0 0.9 0.4 0.0 0.9 0.5 0.0 0.1 0.1 0.0 0.1 0.1 0.0 0.2 0.1 GM 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.0 Honda 0.0 0.0 0.0 1.2 0.0 0.8 1.4 0.0 0.8 0.1 0.6 0.3 0.0 0.0 0.0 Mazda 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.1 Nissan 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.3 1.2 0.6 0.3 0.9 0.5 Toyota 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.1 Volkswagenf 1.4 1.2 1.4 1.4 0.7 1.3 1.3 0.8 1.2 0.9 0.4 0.8 0.0 0.1 0.0 Fleet Total 0.1 0.2 0.1 0.2 0.2 0.2 0.2 0.0 0.1 0.1 0.2 0.1 0.0 0.1 0.1 fVolkswagen is listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -55 - ------- G. 2016 Model Year Compliance Values As described at the outset of this section, there are a number of "building blocks" that are assembled to describe a manufacturer's performance in a given model year. These elements cumulatively make up a manufacturer's "compliance value," i.e., the performance value specific to a given model year and fleet that is compared to an emissions standard (or target) to determine whether a fleet generates a net credit or deficit balance in that model year. Table 3-26 summarizes all of these building blocks (described in previous sections) for the 2016 model year fleet for each manufacturer. The values in Table 3-26 are calculated for each manufacturer's combined car and truck fleet by weighting car and truck values according to the relative production volumes and VMT of cars and trucks.39 The final row shows values for the total 2016 fleet. Note that the compliance value for each manufacturer can be derived from the values in the table by applying the credits and deficits to the 2-cycle tailpipe value. For example, Ford's 2-cycle tailpipe emissions of 311 g/mi is reduced by applying A/C and off-cycle credits totaling 13 g/mi, yielding a final compliance value of 298 g/mi (any apparent mathematical differences are the result of rounding). Tables 3-27 and 3- 28 show the same information for car and truck fleets, respectively.40 The resulting compliance values can then be compared to the target values for each fleet to determine whether a manufacturer will report credits or deficits in the 2016 model year. Again, these values are not regulatory values, but are calculated from the Megagrams of credits reported by the manufacturers to EPA and presented this way to more easily communicate compliance in understandable metrics. 39 The compliance and target values do not represent official regulatory values. Regulatory target values are determined separately for car and truck fleets. The compliance value is not a regulatory value, but rather is a calculated value based on each manufacturers' unique car and truck sales weighting for a given model year, and is shown as a way of portraying the cumulative impact of a manufacturer's tailpipe performance and any optional credits used by a manufacturer. 40 Versions of Tables 3-19, 3-20, and 3-21 for the 2012-2014 model years are shown in Appendix C. -56- ------- Table 3-26. 2016 Compliance Values - Combined Passenger Car & Light Truck Fleet (g/mi) Credits (g/mi) 2-Cycle CH4&N2O Manufacturer Tailpipe A/C Off-Cycle Deficit Compliance Value BMW 276 10 5 0 262 Ford 311 10 3 0 298 GM 319 11 3 0 305 Honda 245 8 2 0 234 Hyundai 239 7 1 0 231 Jaguar Land Rover 356 22 7 0 326 Kia 267 6 2 0 259 Mazda 231 0 0 0 231 Mercedes 296 11 4 0 281 Mitsubishi 248 5 0 0 242 Nissan 246 8 2 1 237 Subaru 246 3 0 0 243 Tesla 0 6 0 0 -6 Toyota 279 9 2 0 267 Volvo 283 11 0 0 273 FCAf 331 18 7 0 306 Volkswagenf 264 9 0 0 256 Fleet Total 285 10 3 0 272 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -57- ------- Table 3-27. 2016 Compliance Values - Passenger Car Fleet (g/mi) Credits (g/mi) 2-Cycle CH4&N2O Manufacturer Tailpipe A/C Off-Cycle Deficit Compliance Value BMW 262 9 4 0 249 Ford 254 9 2 0 243 GM 260 10 3 0 246 Honda 213 9 2 0 202 Hyundai 236 7 1 0 228 Jaguar Land Rover 322 19 3 0 299 Kia 246 6 1 0 239 Mazda 214 0 0 0 214 Mercedes 269 11 4 0 254 Mitsubishi 241 3 0 0 238 Nissan 221 7 2 0 212 Subaru 244 3 0 0 241 Tesla 6 0 0 -6 Toyota 224 8 1 0 214 Volvo 249 8 0 0 241 FCAf 288 17 3 0 267 Volkswagenf 247 8 0 0 239 Fleet Total 240 9 2 0 229 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -58- ------- Table 3-28. 2016 Compliance Values - Light Truck Fleet (g/mi) Credits (g/mi) 2-Cycle CH4&N2O Manufacturer Tailpipe A/C Off-Cycle Deficit Compliance Value BMW 310 11 7 0 292 Ford 354 11 4 1 339 GM 365 11 4 0 350 Honda 285 8 2 0 275 Hyundai 339 5 5 0 329 Jaguar Land Rover 361 23 8 0 330 Kia 330 6 3 0 321 Mazda 259 0 0 0 259 Mercedes 342 12 3 0 326 Mitsubishi 251 7 0 0 244 Nissan 297 9 3 1 286 Subaru 246 3 0 0 243 Toyota 342 11 3 0 328 Volvo 300 12 0 0 288 FCAf 348 19 8 0 321 Volkswagenf 320 12 0 0 308 Fleet Total 332 11 4 0 317 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. Table 3-29 shows the calculated compliance values for each manufacturer's car and truck fleet for the 2012-2016 model years. As can be seen in the table, the increases in manufacturer compliance values from 2015 to 2016 outweighed the decreases, leading to a net increase of 4 g/mi across the fleet of combined cars and trucks. -59- ------- Table 3-29. 2012-2016 Model Year Compliance Values by Manufacturer and Fleet, 2012-2016 Model Years (g/mi) 2012 Model Year 2013 Model Year 2014 Model Year 2015 Model Year 2016 Model Year Manufacturer Car Truck All Car Truck All Car Truck All Car Truck All Car Truck All BMW 267 348 290 260 329 279 245 295 257 244 300 257 249 292 262 BYD Motors 0 0 0 0 0 0 No production volume Coda 0 0 0 0 \lo production volume Ford 247 357 295 239 347 298 237 342 289 239 324 287 243 339 298 GM 263 364 306 253 362 299 246 336 288 247 332 296 246 350 305 Honda 234 315 263 226 306 254 225 291 254 212 275 236 202 275 234 Hyundai 239 305 244 233 310 236 241 315 247 238 313 244 228 329 231 Jaguar Land Rover 371 431 418 337 405 390 316 331 328 308 315 313 299 330 326 Karma Auto 102 102 No production volume Kia 253 321 261 247 293 249 258 324 262 253 319 258 239 321 259 Mazda 241 324 263 232 296 251 220 287 240 217 285 238 214 259 231 Mercedes 295 366 320 273 346 297 262 342 284 253 327 281 254 326 281 Mitsubishi 262 283 267 254 267 258 224 256 236 215 254 228 238 244 242 Nissan 256 363 288 228 328 260 222 318 253 209 291 235 212 286 237 Porsche 325 362 342 309 363 336 Included in Volkswagen Subaru 255 294 280 253 268 262 249 252 251 238 244 243 241 243 243 Suzuki 267 361 287 266 330 273 No production volume Tesla -6 -6 -6 -6 -6 -6 -6 -6 -6 -6 Toyota 214 339 263 218 332 268 211 333 257 215 323 265 214 328 267 Volvo 286 331 300 282 337 307 280 340 311 246 324 277 241 288 273 FCAf 277 351 327 267 345 314 270 324 309 246 312 291 267 321 306 Volkswagenf 268 323 275 259 301 264 249 309 261 236 311 252 239 308 256 Fleet Total 249 347 287 240 337 278 237 322 274 230 311 268 229 317 272 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "AN" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -60- ------- H. 2016 Model Year Footprint-Based CO2 Standards The final values needed to determine the relative performance for a manufacturer in a model year are the emissions standards that apply to each manufacturer's fleets in that model year. At the end of each model year, manufacturers calculate unique CO2 standards for each fleet (cars and trucks) using equations specified in the regulations based on the footprint of their vehicles.41 The footprint "curves" for the 2012-2016 model years are shown in Figure 3-1. The unique CO2 standard for each manufacturer's fleet is a production- weighted average of the CO2 target values determined from the curves based on all of the unique footprint values for the vehicles in a manufacturer's fleet. Trends in the overall average footprint value are thus important because of the direct impact on the stringency of the GHG standards. Figure 3-1. 2012-2016 Model Year CO2 Footprint Target Curves 400 2012 Trucks ¦ 2013 Trucks 2014 Trucks 2015 Trucks B80 2016 Trucks --2012 Cars --2013 Cars 2014 Cars 360 2015 Cars 2016 Cars 340 v 320 1 300 2 32 8™ 280 260 240 220 200 20 25 30 35 40 45 50 55 60 65 70 75 Footprint (square feet) 41 A vehicle's footprint is defined specifically in regulations as the product of vehicle track width and wheelbase, but it can be simply viewed as the area of the rectangle enclosed by the four points where the tires touch the ground. -61- ------- The calculated CO2 standards for the 2012-2016 model years are shown in Table 3-30. Manufacturers use these unique footprint-based car and truck standards - which are required by regulation - to determine their compliance status. A third value for each manufacturer - a sales- and VMT-weighted standard for the combined car and truck fleet - is provided for convenience and comparative purposes, but it is not a compliance value required by the regulations. The numerical CO2 standards decreased from 2015 to 2016 for every manufacturer except Mitsubishi, resulting in an increase in the overall stringency of the program of 11 g/mi in the 2016 model year. -62- ------- Table 3-30. 2012-2016 Model Year CO2 Standards by Manufacturer and Fleet, 2012-2016 Model Years (g/mi) 2012 Model Year 2013 Model Year 2014 Model Year 2015 Model Year 2016 Model Year Manufacturer Car Truck All Car Truck All Car Truck All Car Truck All Car Truck All BMW 269 336 288 263 324 280 258 313 271 244 301 257 235 286 250 BYD Motors 277 0 277 269 0 269 261 0 261 No production volume Coda 246 0 246 239 0 239 No production volume Ford 265 364 308 265 355 315 254 345 299 245 329 292 234 315 280 GM 272 369 313 263 360 304 254 357 302 244 336 296 233 318 281 Honda 263 333 288 256 318 278 250 308 275 236 294 258 227 281 251 Hyundai 269 316 273 261 309 263 253 301 257 246 285 249 231 280 233 Jaguar Land Rover 293 400 377 283 354 338 271 332 322 257 338 322 250 288 283 Karma 315 0 315 No production volume Kia 266 338 274 258 303 259 251 312 255 241 308 247 229 288 243 Mazda 259 323 276 250 311 268 251 300 265 241 285 254 228 271 244 Mercedes 277 360 306 262 354 292 258 330 278 249 311 273 239 290 258 Mitsubishi 261 307 271 249 296 264 236 287 254 225 273 241 219 260 247 Nissan 263 337 285 259 324 280 249 318 271 239 300 258 229 284 247 Porsche 332 422 374 314 410 363 Included in Volkswagen Subaru 260 309 291 251 299 281 243 289 279 234 276 265 224 262 253 Suzuki 251 325 267 243 296 249 No production volume Tesla 304 0 304 296 0 296 288 0 288 276 0 276 267 0 267 Toyota 264 342 295 257 330 289 250 326 279 239 305 269 228 292 258 Volvo 272 325 288 264 316 288 258 307 283 247 325 277 238 289 272 FCAf 277 345 323 270 338 311 262 327 309 247 307 288 237 295 278 Volkswagenf 263 327 271 257 317 264 250 311 262 236 297 249 226 279 239 Fleet Total 267 349 299 261 339 292 253 330 287 241 312 274 231 297 263 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "AN" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -63- ------- Overall, the standards decreased by 11 g/mi from 2015 to 2016, an increase in stringency driven by the more stringent target curves for the 2016 model year. However, the target curves represent only one of several key factors that influence the standards. While increased stringency overall from one year to the next is expected because of the structure of the target curves, there are other contributing factors that can result in - and explain - occasional exceptions that may occur. For example, Table 3-30 shows that Mitsubishi's calculated fleet- wide standard increased - or became less stringent - by 6 g/mi, despite the fact that their car and truck standards both increased in stringency. The factor driving this apparent contradiction is that Mitsubishi's truck production (with standards numerically less stringent than cars) increased dramatically, from 30 percent in 2015 to 65 percent of their fleet in the 2016 model year. The average footprint for the overall fleet increased in the 2016 model year by 0.1 square feet, to 49.5 square feet. The average car footprint remained unchanged at 46.1 square feet, and the truck footprint decreased by 0.2 square feet to 53.7 square feet, the smallest truck footprint since the GHG standards took effect. Of the 17 manufacturers shown in Table 3- 31 with 2016 vehicles, fleet average footprint increased for eleven, decreased for four, and was unchanged for two. Increases in footprint spanned from 0.1 square feet (Toyota) to 2.5 square feet (Volvo). Decreases in footprint ranged from 0.1 square feet (Volkswagen) to 0.9 square feet (Hyundai). Note that a change in the overall fleet footprint does not necessarily indicate that manufacturers built smaller or larger vehicles; because the footprint is weighted by production volume, shifts in volumes can result in a change to an overall fleet footprint. Thus, a change in footprint could be a result of either of these factors independently, or more likely, a mix of both factors. -64- ------- Table 3-31. Average Footprint by Manufacturer and Fleet, 2012-2016 Model Years (square feet) 2012 Model Year 2013 Model Year 2014 Model Year 2015 Model Year 2016 Model Year Manufacturer Car Truck All Car Truck All Car Truck All Car Truck All Car Truck All BMW 45.9 51.4 47.3 46.2 50.8 47.4 47.1 50.4 47.8 46.6 51.0 47.5 47.1 50.6 48.0 BYD Motors 47.9 47.9 47.9 47.9 47.9 47.9 No production volume Coda 41.5 41.5 41.5 41.5 No production volume Ford 45.3 59.4 50.9 47.0 59.5 53.4 46.4 59.4 52.4 46.8 58.9 53.1 46.7 59.0 53.3 GM 46.9 60.1 52.0 46.5 60.4 51.9 46.3 62.6 53.2 46.7 60.3 53.9 46.6 59.3 53.3 Honda 45.0 50.5 46.8 44.9 49.3 46.3 45.6 49.2 47.0 45.0 49.1 46.5 45.3 49.6 47.0 Hyundai 46.2 46.4 46.2 46.1 47.0 46.2 46.1 47.5 46.2 47.2 47.0 47.2 46.3 49.2 46.3 Jaguar Land Rover 51.0 48.4 49.0 50.8 48.2 48.8 49.3 52.0 51.5 49.6 50.6 50.4 50.2 51.2 51.0 Karma 58.1 58.1 No production volume Kia 45.6 51.9 46.2 45.5 45.6 45.5 45.8 50.0 46.1 46.2 52.6 46.7 45.9 51.3 47.1 Mazda 43.9 48.1 44.9 43.6 47.6 44.7 45.6 47.2 46.0 46.1 47.1 46.3 45.4 47.1 46.0 Mercedes 46.5 51.9 48.2 45.4 51.5 47.3 46.6 51.4 47.8 47.3 50.4 48.4 47.5 51.7 48.9 Mitsubishi 44.5 44.0 44.4 43.6 43.9 43.7 41.5 44.0 42.3 41.3 43.9 42.1 43.8 44.2 44.1 Nissan 45.0 51.6 46.8 45.8 50.8 47.2 45.4 51.6 47.2 45.8 50.6 47.1 45.8 50.1 47.1 Porsche 44.7 51.8 47.7 43.7 51.9 47.6 Included in Volkswagen Subaru 44.3 44.7 44.5 44.0 44.6 44.4 44.1 44.4 44.3 44.7 44.7 44.7 44.7 44.8 44.7 Suzuki 42.1 48.7 43.4 41.8 44.0 42.0 No production volume Tesla 53.6 53.6 53.6 53.6 53.6 53.6 53.6 53.6 53.9 53.9 Toyota 45.0 53.4 48.0 45.1 52.5 48.1 45.6 54.1 48.6 45.6 52.2 48.4 45.5 52.5 48.5 Volvo 46.8 48.6 47.3 46.8 49.0 47.7 47.2 48.9 48.0 47.3 48.0 47.5 47.7 51.4 50.0 FCAf 47.2 53.6 51.4 47.6 54.5 51.5 48.0 54.1 52.2 47.1 52.7 50.7 47.5 53.2 51.4 Volkswagenf 45.2 49.0 45.6 45.2 49.0 45.6 45.5 50.0 46.3 45.1 50.1 46.0 45.1 48.9 45.9 Fleet Total 45.7 54.5 48.8 45.9 54.7 49.1 46.1 55 49.7 46.1 53.9 49.4 46.1 53.7 49.5 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "AN" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -65- ------- I. Overall Compliance Summary Final compliance for the 2012-2016 model years is summarized in Table 3-32 for die overall model year fleet, and separately for cars and trucks in Tables 3-33 and 3-34, respectively. As in the tables in Section 3.G, these show how the 2-cycle tailpipe values and the credits are used to "build" the overall compliance value, which is then compared to the model year standards described in Section 3.H. The tables also show, in the final column, the value achieved by subtracting the standard from the compliance value. This value is negative in the 2012 to 2015 model years, indicating that, overall, the industry was generating credits in these model years. A positive value for the 2016 model year indicates that the industry generated a deficit. In both the 2012 and 2013 model years, the industry's over-compliance was almost entirely driven by the compliance margin seen in the car fleet, since the truck compliance values essentially equaled the overall fleet standards. This was not true for the 2014 model year, where the truck fleet achieved a compliance margin relative to the truck standard of -8 g/mi, thus contributing to the overall fleet compliance margin and credit generation. In the 2015 model year the bulk of the credit generation was again attributable to passenger cars, although the trucks also generated credits with a performance value of 311 g/mi and an applicable fleet standard of 312 g/mi. The generation of deficits in the 2016 model year can be traced to the truck fleet, as seen in Table 3-34, whereas passenger cars generated credits by achieving a performance value slightly lower than the applicable standard. Table 3-32. Performance & Credit Summary, 2012-2016 Model Years - Combined Cars and Trucks (g/mi)* Credits Performance Model 2-Cycle Off- CH4&N2O minus Year Tailpipe FFV A/C Cycle Deficit Performance Standard Standard 2012 302 8.1 6.1 0.7 0.2 287 299 -12 2013 294 7.8 6.9 0.8 0.3 278 292 -13 2014 294 8.9 8.4 2.5 0.2 274 287 -13 2015 286 6.4 9.4 2.7 0.2 268 274 -7 2016 285 - 10.0 2.9 0.1 272 263 9 *Values stated in this table and in the text are correct, although rounding of values may result in some apparent differences. -66- ------- Table 3-33. Performance & Credit Summary, 2012-2016 Model Years - Passenger Cars (g/mi)* Credits Performance Model 2-Cycle Off- CH4&N2O minus Year Tailpipe FFV A/C Cycle Deficit Performance Standard Standard 2012 259 4.0 5.4 0.4 0.1 249 267 -18 2013 251 4.0 6.3 0.6 0.3 240 261 -20 2014 250 4.6 7.4 1.6 0.3 237 253 -16 2015 243 3.1 8.0 1.9 0.1 230 241 -11 2016 240 - 8.6 1.8 0.1 229 231 -1 *Values stated in this table and in the text are correct, although rounding of values may result in some apparent differences. Table 3-34. Performance & Credit Summary, 2012-2016 Model Years - Light Trucks (g/mi)* Credits Performance Model 2-Cycle Off- CH4&N2O minus Year Tailpipe FFV A/C Cycle Deficit Performance Standard Standard 2012 369 14.5 7.3 1.0 0.3 347 349 -2 2013 360 13.8 7.9 1.1 0.3 337 339 -2 2014 349 14.3 9.7 3.6 0.1 322 330 -8 2015 336 10.2 10.9 3.7 0.2 311 312 -1 2016 332 - 11 4 0 317 297 20 *Values stated in this table and in the text are correct, although rounding of values may result in some apparent differences. A comparison between compliance values and standards for each manufacturer and fleet is shown in Table 3-35. The final row shows values for the total 2016 fleet. The comparison of the compliance and standards in Table 3-35, shown in the "Net Compliance" columns, indicates whether a manufacturer generated net credits or deficits in the 2016 model year. Negative values indicate over-compliance with the standards, or compliance values that are lower than the standard by the stated value. Positive values are thus an indication of compliance values that exceed (i.e., do not meet) the applicable standards. BMW, for example, generated a 2016 model year deficit because their overall compliance value of 262 g/mi is above their fleet-wide standard of 250 g/mi. Honda, on the other hand, reported net credits based on a compliance value of 234 g/mi, 16 g/mi lower than their fleet-wide standard. Note, however, that the generation of a net deficit in the 2016 model year by any manufacturer does not necessarily indicate that the manufacturer has failed to comply with the 2016 model year standards. BMW, for example, will offset their 2016 deficit by using credits either purchased from another manufacturer or generated in previous model years, -67- ------- thereby complying with the 2016 standards.42 The final row of Table 3-35 shows the conclusion that the 2016 model year was a deficit-generating year overall, based on the compliance value that is 9 g/mi above the 2016 model year standard. A comparison of the values in the three previous tables to EPA projections for these values is in Appendix A.43 Table 3-35. 2016 Model Year Compliance Summary by Manufacturer and Fleet (g/mi) Compliance Value Standard Net Compliance Manufacturer Car Truck All Car Truck All Car Truck All BMW 249 292 262 235 286 250 14 6 12 Ford 243 339 298 234 315 280 9 24 18 GM 246 350 305 233 318 281 13 32 24 Honda 202 275 234 227 281 251 -25 -6 -16 Hyundai 228 329 231 231 280 233 -3 49 -1 Jaguar Land Rover 299 330 326 250 288 283 49 42 43 Kia 239 321 259 229 288 243 10 33 15 Mazda 214 259 231 228 271 244 -14 -12 -13 Mercedes 254 326 281 239 290 258 15 36 23 Mitsubishi 238 244 242 219 260 247 19 -16 -5 Nissan 212 286 237 229 284 247 -17 2 -10 Subaru 241 243 243 224 262 253 17 -19 -10 Tesla -6 -6 267 267 -273 -273 Toyota 214 328 267 228 292 258 -14 36 10 Volvo 241 288 273 238 289 272 3 -1 0 FCAf 267 321 306 237 295 278 30 26 27 Volkswagenf 239 308 256 226 279 239 13 29 17 Fleet Total 229 317 272 231 297 263 -1 20 9 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "AN" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. 42 This section deals only with manufacturer performance within a model year, and does not consider the implications on compliance of the use of credits or deficits from previous model years or of sold and purchased credits. See Section 5 for a discussion of the current compliance status of each manufacturer that considers all of these factors. 43 EPA projections are from the previously-referenced rulemakings from May 7, 2010 and October 15, 2012. -68- ------- 4. Credit Transactions Credits may be traded among manufacturers with a great deal of flexibility (with the exception of 2009 model year credits and credits generated by manufacturers using the TLAAS program, which are restricted to use only within a manufacturer's own fleets). There are only a few regulatory requirements that relate to credit transactions between manufacturers (other than the restrictions just noted), and these are generally designed to protect those involved in these transactions. While it may seem obvious, it is worth stating that a manufacturer may not trade credits that it does not have. Credits that are available for trade are only those available (1) at the conclusion of a model year when all the data is available with which to calculate the number of credits generated by a manufacturer, and not before; and (2) after a manufacturer has offset any deficits they might have. Credit transactions that result in a negative credit balance for the selling manufacturer are not allowed and can result in severe punitive actions. Although a third party may facilitate transactions, EPA's regulations allow only the automobile manufacturers to engage in credit transactions and hold credits. Since the 1990's, many of EPA's vehicle emissions regulatory programs have included the flexibilities of averaging, banking, and trading (ABT). The incorporation of ABT provisions in EPA emissions regulations has been generally supported by a wide range of stakeholders: by manufacturers for the increased flexibility that ABT offers and by environmental groups because ABT enhances EPA's ability to introduce standards of greater stringency in an earlier time frame than might otherwise be achieved. Historically, manufacturers tended to make use of the ability to average emissions and bank emissions credits for use in subsequent years, but until recently there has been almost no credit trading activity between companies. The use of trading provisions in EPA's light-duty GHG program is a historic development, and one that EPA welcomes because we believe it will allow greater GHG reductions, lower compliance costs, and greater consumer choice. The credit transactions reported by manufacturers through the 2016 model year are shown in Table 4-1. Note that manufacturers do not report transactions to EPA as they occur. Thus there may be additional credit transactions that have occurred that are not reported here, but because of the timing of those transactions (after the manufacturers submitted their 2014 model year data) those transactions will be reported in the 2015 model year reports of the manufacturers involved, and thus will be included in EPA's performance report regarding the 2015 model year. As of the close of the 2016 model year, more than 30 million Megagrams of CO2 credits had changed hands. Credit distributions are shown as negative values, in that a disbursement represents a deduction of credits from the specified model year for the selling manufacturer. Credit acquisitions are indicated as positive values because acquiring credits represents an increase in credits for the purchasing manufacturer. The model year represents the "vintage" of the credits that were sold, i.e., the model year from which the credits originated. The vintage always travels with the credits, regardless of when a transaction takes place and in what model year the credits are ultimately used. A manufacturer with 2010 model year credits can hold them until 2021, meaning, for -69- ------- example, that a sale of 2010 credits could potentially be reported to EPA as late as the reporting deadline for the 2021 model year, and those 2010 credits traded in model year 2021 could be used by the buyer to offset deficits from the 2018-2021 model years. The overall impact of these credit transactions on the compliance position of each manufacturer is discussed in Section 5, which pulls together all the credits and deficits, including early credits, discussed in the preceding sections. Note that each value in the table is simply an indication of the quantity of credits from a given model year that has been acquired or disbursed by a manufacturer, and thus may represent multiple transactions with multiple buyers or sellers. -70- ------- Table 4-1. Cumulative Reported Credit Sales and Purchases (Mg) Manufacturer Model Year "Vintage M Total 2010 2011 2012 2013 2014 2015 2016 Credits Disbursed Coda Honda Nissan Tesla Toyota 14,182,329 950,000 35,580 2,507,000 6,590,901 1,345,570 14,192 5,524 250,000 177,941 1,727 1,000,000 1,049,384 1,020,296 831,358 1,337,853 2,452,519 7,251 20,773,230 3,545,570 3,635,246 3,338,358 BMW 2,000,000 - - - - - - 2,000,000 T3 01 Ferrari 265,000 265,000 '5 O" FCA 11,424,329 7,090,901 - 1,049,384 1,020,296 1,337,853 2,452,519 21,922,763 u < GM - - 5,524 1,727 - - - 7,251 01 Jaguar Land Rover - 39,063 - - 831,358 - - 870,421 u McLaren 6,507 6,507 Mercedes 3,985,580 814,192 427,941 1,000,000 - - - 6,227,713 -71- ------- 5. Compliance Status After the 2016 Model Year Based on the information reported to EPA, the vast majority of manufacturers have successfully demonstrated compliance with the 2012-2016 model year standards and are carrying a positive credit balance into the 2017 model year. The manufacturers that report compliance with all model years represent more than 99 percent of all cars and light trucks produced for U.S. sale in the 2012-2016 model years, the first phase of EPA's GHG standards. Table 5-1 shows one view of the accumulated credits for each manufacturer. Each manufacturer reporting a positive balance in the final column is, by definition, in compliance with the 2012-2016 model years (because all deficits must be offset before carrying credits forward). Table 5-1 shows the total credits (or deficits) for each manufacturer in the last column. Table 5-1 also shows the credits (or deficits) generated by each manufacturer in the 2009-2016 model years, as well as the net impact of credit transactions on each manufacturer's credit balance. However, to fully understand the current compliance position of each manufacturer, we also need to know the makeup of the credit balance in terms of the origin, or vintage, of the credits. Knowing the vintage is important both for credits and deficits, because we need to know when credits expire and must be forfeited, and we need to know when a manufacturer is in violation of the regulations as a result of failing to offset a deficit within the required time frame. -72- ------- Table 5-1. Cumulative Credit Status After the 2016 Model Year (Mg) Early Credits (2009-2011) 2012 2013 2014 2015 2016 Bought, Sold, Bought, Sold, Bought, Sold, Bought, Sold, Bought, Sold, Bought, Sold, Total Carried Forfeited, or Forfeited, or Forfeited, or Forfeited, or Forfeited, or Forfeited, or Forward to Manufacturer Earned Expired Earned Expired Earned Expired Earned Expired Earned Expired Earned Expired 2017 Toyota 80,435,498 (32,239,098) 13,163,009 0 9,875,003 0 9,839,348 (831,358) 2,564,396 0 (4,727,835) 0 78,078,963 Honda 35,842,334 (34,906,583) 7,941,932 0 7,307,995 0 6,480,503 0 7,192,274 0 6,166,021 0 36,024,476 Nissan 18,131,200 (10,485,694) (729,937) (250,000) 5,190,521 (1,000,000) 4,854,133 0 8,089,026 0 2,883,585 0 26,682,834 Ford 16,116,453 (5,882,011) 4,789,580 0 8,238,561 0 4,843,648 0 2,047,791 0 (8,069,883) 0 22,084,139 Hyundai 14,007,495 (4,482,649) 3,535,510 0 5,777,836 (169,775) 1,113,812 0 647,751 0 153,564 0 20,583,544 GM 25,510,557 (6,894,611) 3,575,173 5,524 2,438,654 1,727 7,823,425 0 396,674 0 (13,190,423) 0 19,666,700 Subaru 5,755,171 (491,789) 646,317 0 1,444,372 0 2,882,640 0 3,044,329 0 1,220,109 0 14,501,149 Mazda 5,482,642 (1,340,917) 734,887 0 786,431 0 1,547,009 0 970,540 0 1,243,959 0 9,424,551 Kia 10,444,192 (2,362,882) 1,303,379 0 1,330,236 (123,956) (771,893) 0 (1,588,713) 0 (2,218,748) 0 6,011,615 BMW 1,251,522 1,865,209 (110,996) 0 48,709 0 1,075,752 0 26,118 0 (953,972) 0 3,202,342 Mercedes 378,272 4,799,772 (723,216) 427,941 (298,662) 1,000,000 (401,140) (28,416) (597,785) 0 (1,565,261) 0 2,991,505 Mitsubishi 1,449,336 (583,146) 57,837 0 58,209 0 351,031 0 348,232 0 73,971 0 1,755,470 Suzuki 876,650 (265,311) (127,699) 0 (55,398) 0 0 0 0 0 0 0 428,242 Karma Automotive 0 0 58,852 0 0 0 0 0 0 0 0 0 58,852 BYD Motors 0 0 595 0 1,681 0 2,548 0 0 0 0 0 4,824 Tesla 49,772 (49,772) 178,517 (177,941) 1,049,384 (1,049,384) 1,020,296 (1,020,296) 1,337,853 (1,337,853) 2,452,519 (2,452,519) 576 Coda 0 0 5,524 (5,524) 1,727 (1,727) 0 0 0 0 0 0 0 Volvo 730,187 0 (175,195) 0 (297,006) 0 (183,695) 0 10,872 (85,163) (9,218) 0 (9,218) Jaguar Land Rover 0 39,063 (488,109) 0 (716,448) 0 (90,192) 831,358 135,773 0 (1,099,226) 0 (1,387,781) FCAf 10,411,321 18,515,230 (1,221,514) 0 (1,003,146) 1,049,384 (45,458) 1,020,296 (1,462,661) 1,337,853 (11,836,032) 2,452,519 19,217,792 Volkswagenf 6,441,405 (1,404,947) (426,200) 0 31,148 0 112,228 0 (385,236) 0 (1,929,790) 0 2,438,608 Fleet Total 233,314,007 (76,170,136) 32,186,594 0 41,437,898 (293,731) 40,453,995 (28,416) 22,777,234 (85,163) (31,406,660) 0 261,759,183 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -73- ------- Because manufacturers accumulate car and truck credits separately, and because they are allowed to move credits around between cars and trucks, the situation can get far more complex than seen in the Ferrari example.44 Consider this example, where a manufacturer generates 1500 Mg of car credits and a -500 Mg deficit in trucks in 2012, and where credits all have a 5-year lifespan: 2012 Credits Fleet (Mg) Cars Trucks 1500 -500 Total 1000 The manufacturer must use the car credits to offset the truck deficit in this case, because there are no credits available from prior model years to use, and credits cannot be carried forward until deficits are addressed. Thus the manufacturer carries a balance of 1000 Mg of credits from 2012 into 2013. Then in this example let's assume that in 2013 they generate 1000 Mg of credits in the car fleet and a deficit of -1000 Mg in the truck fleet, as shown below: Fleet 2012 Credits (Mg) 2013 Credits (Mg) Cars Trucks 1500 -500 1000 -1000 Total (100(3) Here, the manufacturer would have 1000 Mg of 2012 credits There are multiple choices for a manufacturer faced with such a situation. As shown above, all deficits are adequately addressed within each model year, and a manufacturer could leave it at that. Doing so would mean carrying forward the 1000 Mg of credits remaining from 2012 into 2014. There is, however, a smarter - but not mandatory - option. Because the regulations allow car and truck credits and deficits to be managed as separate "bins," and because newer credits are generally more valuable than older credits (because they last longer) it would be smarter for this manufacturer to use the 1000 Mg of credits from 2012 to offset the deficit of -1000 Mg in the 2013 truck fleet, as shown below: 2012 2013 Credits Credits Fleet (Mg) (Mg) Cars 1500 1000 Trucks -500 -1000 Total 1000 (1000) Here, the manufacturer would have 1000 Mg of 2013 credits 44 Note that the regulations require that all credits and deficits within a vehicle class (passenger cars or light trucks) be aggregated before transfers between vehicle classes may occur. See 40 CFR 86.1865-12(k)(5). -74- ------- The bottom line remains the same (1000 Mg of credits are carried into 2014), except that in this case the credits carried forward have a vintage from the newer 2013 model year. Theoretically, a manufacturer could use any mix of 2012 and 2013 credits to offset the 2013 truck deficit, in which case the credits remaining to carry forward would be a mix of 2012 and 2013 credits. The value of a given vintage is based on its expiration date, and the expiration date of 2010-2016 model year credits in EPA's GHG program is fixed at the 2021 model year, meaning that for the 2010-2016 model years it is less important to treat credits in this way. Nevertheless, this "first in, first out" accounting method is being used to determine the makeup of credit balances held by manufacturers (unless a manufacturer expresses a preference for an alternative accounting). It is challenging to display all the credit transfers, transactions, and vintages in a single data table in an easily understandable manner. However, we can display the current state of each manufacturer and the vintage of all the credits currently held by each manufacturer. Table 5-2 reveals the credit balances for each manufacturer, after adjusting for credit transactions and transfers, by the vintage of the credits reported by the manufacturer. The model year column headings represent the vintages that make up the total credits (or deficit) being carried forward into the 2017 model year. This table shows, for example, the extent to which some manufacturers have used credits from prior model years. Volvo, for example, reported generating about 730,000 early credits (see Table 2-1 or 5-1). With the exception of the 2015 model year, in which Volvo generated credits, they have consistently been generating deficits in each year. The early credits have been sufficient to offset almost all of these deficits. A small deficit of about 9200 Mg remains from the 2016 model year. A deficit may be carried forward for three years after the year in which it is generated, meaning that deficits from the 2016 model year must be reconciled by the end of the 2019 model year. Note that Tables 5-1 and 5-2 over-simplify the data with respect to the manufacturers using the TLAAS program in order to present the data concisely. In model years 2012-2015, Jaguar Land Rover and Mercedes reported vehicles subject to the primary standards and subject to the less stringent TLAAS standards, yet for the purpose of these tables we have aggregated the credits accumulated in both the primary and TLAAS fleets into a single row in the table. Although they are not separated for the purposes of these tables, EPA maintains careful records (as do the manufacturers) of the credits within the Primary and TLAAS programs, as is necessary because of the different treatment and restrictions for the different fleets. The data we are making available online and in this report will identify the source of each credit (e.g., whether from the Primary or TLAAS fleets). -75 - ------- Table 5-2. Credits Available After the 2016 Model Year, Reflecting Trades & Transfers (Mg) Total Carried Forward to Manufacturer 2010 2011 2012 2013 2014 2015 2016 2017 Toyota 18,943,388 14,651,963 13,163,009 10,336,958 10,139,675 7,231,364 3,612,606 78,078,963 Honda 100 935,651 7,941,932 7,307,995 6,480,503 7,192,274 6,166,021 36,024,476 Nissan 4,653,920 507,179 989,226 4,510,993 4,871,086 8,089,026 3,061,404 26,682,834 Ford 0 2,164,559 4,789,580 8,238,561 4,843,648 2,047,791 0 22,084,139 Hyundai 4,899,895 4,012,969 3,535,510 5,613,813 1,231,344 916,265 373,748 20,583,544 GM 0 4,157,560 3,580,697 2,853,416 7,823,425 1,251,602 0 19,666,700 Subaru 1,578,137 2,876,413 646,317 1,487,331 3,001,354 3,189,186 1,722,411 14,501,149 Mazda 3,201,708 925,179 749,725 786,431 1,547,009 970,540 1,243,959 9,424,551 Kia 0 3,501,956 1,303,379 1,206,280 0 0 0 6,011,615 BMW 1,429,755 444,856 63,382 162,479 1,075,752 26,118 0 3,202,342 Mercedes 591,687 971,877 427,941 1,000,000 0 0 0 2,991,505 Mitsubishi 423,438 302,394 67,976 90,090 351,031 348,232 172,309 1,755,470 Suzuki 329,382 98,860 0 0 0 0 0 428,242 Karma Auto 0 0 58,852 0 0 0 0 58,852 BYD Motors 0 0 595 1,681 2,548 0 0 4,824 Tesla 0 0 576 0 0 0 0 576 Coda 0 0 0 0 0 0 0 0 Volvo 0 0 0 0 0 0 (9,218) (9,218) Jaguar Land Rover 0 0 0 0 (134,941) (153,614) (1,099,226) (1,387,781) FCAf 2,057,965 9,682,875 31,342 1,484,695 1,957,144 1,551,252 2,452,519 19,217,792 Volkswagenf 496,637 1,528,432 60,107 241,204 112,228 0 0 2,438,608 Fleet Total 38,606,012 46,756,216 37,410,146 45,321,927 43,301,806 32,660,036 17,696,533 261,759,183 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "AN" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -76- ------- Appendix A: Comparing Actual Performance to Rulemaking Projections As described in Section 1, EPA's GHG program was promulgated in two regulatory actions conducted jointly with NHTSA. The first rulemaking established standards for the 2012- 2016 model years, and the second rulemaking set standards for the 2017 and later model years. 45 40 In each of these rulemakings we included tables summarizing our projections of what the fleet-wide standards would be and how we expected manufacturers would comply with the standards. When evaluating these projections and how they compare to the actual performance as described in this report, consider that the projections for the 2012-2016 model years were finalized in early 2010, and the 2017 and later projections were determined in the middle of 2012. The projections were made with the best available information at the time, but it should not be surprising that actual performance differs from the rulemaking projections. Factors such as consumer preferences, technology innovation, fuel prices, and manufacturer behavior can change in unanticipated ways, leading current, actual performance to diverge from projections made in the past. While a comparison of actual performance to projections is interesting, and helps illuminate whether or not the program is achieving its expected benefits, this is secondary in the context of this report, which is focused on actual compliance. Compliance of manufacturers with EPA's standards is not determined by comparing current model year results to projections made a number of years ago, but is instead determined by comparing achieved compliance values to the regulatory footprint-based standards covered in Sections 1-5 of this report. Table A-l shows key projected values for the combined car and truck fleet for the 2012-2025 model years. All of the values in this table (and Tables A-2 and A-3) come directly from the regulatory actions noted above and footnoted below. Note that we projected that the industry, on average, would comply exactly with the target, i.e., the compliance value equals the target value in each model year. This table illustrates a fundamental principle: EPA projections from the rulemaking analysis assumed manufacturers would achieve significant GHG emission reductions (and hence compliance) through a variety of technologies. In the early years, until the incentive is phased out in the 2016 model year, we projected significant use of credits from flexible fuel vehicles (FFV). We also projected relatively high use of improved A/C systems across the fleet, resulting in projected reductions ranging from 3.5 g/mi in 2012 and increasing to over 20 g/mi late in the program. As shown in Table A-l, we projected that manufacturers would start with a 2-cycle tailpipe value of 261 g/mi in the 2016 model year, reducing that by total credits and incentives of about 11 g/mi, thus yielding a net compliance value of 250 g/mi. We did not make any estimations of the use of NzO and CH4 alternative standards for two reasons: (1) the overall impact was expected to 45 Light-Duty Vehicle Greenhouse Gas Emission Standards and Corporate Average Fuel Economy Standards, Final Rule, Federal Register 75 (7 May 2010): 25469. 46 2017 and Later Model Year Light-Duty Vehicle Greenhouse Gas Emissions and Corporate Average Fuel Economy Standards, Final Rule, Federal Register 77 (15 October 2012): 62889. -77- ------- be very small, and (2) manufacturers are required to offset deficits accumulated with CO2- equivalent credits as a result of using this flexibility, thus there is no net impact on the program. Tables A-2 and A-3 show the same projected values as Table A-l, but separately for cars and trucks, respectively. In the regulatory action establishing the standards we did not publish car- and truck-specific estimated values for the 2-cycle tailpipe emissions or the use of credits and incentives in the 2012-2015 model years, thus these values are shown as N/A in these tables. Table A-l. Projected CO2 Performance in Rulemaking Analyses for the Combined Passenger Car and Light Truck Fleet (g/mi) 2-Cycle Off- N20& Model Tailpipe FFV A/C TLAAS Cycle ch4 Year Emissions Credit Credit Credit Credit Deficit Compliance Standard 2012 307 6.5 3.5 1.2 0.0 N/A 295 295 2013 298 5.8 5.0 0.9 0.0 N/A 286 286 2014 290 5.0 7.5 0.6 0.0 N/A 276 276 2015 277 3.7 10.0 0.3 0.0 N/A 263 263 2016 261 0.0 10.6 0.1 0.5 N/A 250 250 2017 256 0.0 12.5 0.0 0.6 N/A 243 243 2018 249 0.0 14.9 0.0 0.8 N/A 234 234 2019 242 0.0 17.5 0.0 0.9 N/A 223 223 2020 234 0.0 19.2 0.0 1.0 N/A 214 214 2021 222 0.0 20.8 0.0 1.1 N/A 200 200 2022 212 0.0 20.8 0.0 1.4 N/A 190 190 2023 203 0.0 20.8 0.0 1.7 N/A 181 181 2024 194 0.0 20.6 0.0 1.9 N/A 172 172 2025 186 0.0 20.6 0.0 2.3 N/A 163 163 -78- ------- Table A-2. Projected CO2 Performance in Rulemaking Analyses for Passenger Cars (g/mi) 2-Cycle Off- N20& Model Tailpipe FFV A/C TLAAS Cycle ch4 Year Emissions Credit Credit Credit Credit Deficit Compliance Standard 2012 N/A N/A N/A N/A N/A N/A 263 263 2013 N/A N/A N/A N/A N/A N/A 256 256 2014 N/A N/A N/A N/A N/A N/A 247 247 2015 N/A N/A N/A N/A N/A N/A 236 236 2016 235 0.0 10.2 0.0 0.4 N/A 225 225 2017 226 0.0 12.8 0.0 0.5 N/A 213 213 2018 218 0.0 14.3 0.0 0.6 N/A 203 203 2019 210 0.0 15.8 0.0 0.7 N/A 193 193 2020 201 0.0 17.3 0.0 0.8 N/A 183 183 2021 193 0.0 18.8 0.0 0.8 N/A 173 173 2022 184 0.0 18.8 0.0 0.9 N/A 164 164 2023 177 0.0 18.8 0.0 1.0 N/A 157 157 2024 170 0.0 18.8 0.0 1.1 N/A 150 150 2025 163 0.0 18.8 0.0 1.4 N/A 143 143 Table A-3. Projected CO2 Performance in Rulemaking Analyses for Light Trucks (g/mi) 2-Cycle Off- N20& Model Tailpipe FFV A/C TLAAS Cycle ch4 Year Emissions Credit Credit Credit Credit Deficit Compliance Standard 2012 N/A N/A N/A N/A N/A N/A 346 346 2013 N/A N/A N/A N/A N/A N/A 337 337 2014 N/A N/A N/A N/A N/A N/A 326 326 2015 N/A N/A N/A N/A N/A N/A 312 312 2016 310 0.0 11.4 0.0 0.7 N/A 298 298 2017 308 0.0 12.0 0.0 0.9 N/A 295 295 2018 304 0.0 16.0 0.0 1.0 N/A 287 287 2019 299 0.0 20.6 0.0 1.2 N/A 278 278 2020 294 0.0 22.5 0.0 1.4 N/A 270 270 2021 276 0.0 24.4 0.0 1.5 N/A 250 250 2022 264 0.0 24.4 0.0 2.2 N/A 238 238 2023 253 0.0 24.4 0.0 2.9 N/A 226 226 2024 242 0.0 24.4 0.0 3.6 N/A 214 214 2025 233 0.0 24.4 0.0 4.3 N/A 204 204 -79- ------- Table A-4 shows a comparison of the projected values (in Tables A-l, A-2, and A-3) with the actual performance for the 2012-2016 model years for the combined car and truck fleet. As is the case throughout this report, values for the combined fleet of cars and trucks are calculated as a weighted average of the individual car and truck fleet values. However, the methodology used for weighting and combining car and truck values in this section differs from the methodology used elsewhere in this report. As noted in Chapter 1, the general methodology used in this report to create a complete fleet value from separate car and truck fleet values incorporates weighting by the relative lifetime vehicle miles traveled (VMT) of cars and trucks (lifetime VMT values for cars and trucks are specified in the regulations as 195,264 and 225,865 miles, respectively). Because credits are calculated based on differing car and truck VMT values, the methodology for combining car and truck grams per mile values must include weighting by VMT for the result to be internally and mathematically consistent with the total Megagrams of credits generated by the fleet. However, past rulemaking projections for the combined car and truck fleet were determined by weighting car and truck fleet values by their relative production only, ignoring the impact of VMT. In order to provide an accurate comparison, the actual performance values in Table A-4 are calculated in the same manner as the projected values: without weighting by VMT. For this reason, the actual values in Table A-4 are not the same as values with the same labels presented elsewhere in this report. For example, the 2012 model year 2-cycle tailpipe value in Table A-4 is 298 g/mi, whereas the same metric is shown as 302 g/mi in Table 3-1. Both of these values are correct, as the former is not VMT-weighted and the latter is VMT-weighted. It is only within this appendix section that a different methodology is used, specifically to facilitate an apples-to-apples comparison between actual fleet performance and EPA's rulemaking projections. Note that values for the car and truck fleets are identical to those shown elsewhere in the report; only the values for the combined fleet will differ based on the different methods of calculating combined values from the individual car and truck values. Table A-4 shows that actual industry-wide compliance targets for the combined car and truck fleets are slightly higher than EPA's projections for both model year 2012 (by 1 g/mi) and model year 2013 (by 3 g/mi). This gap grew further in subsequent model years, to 10 g/mi in 2016, because the industry-wide truck fraction of the fleet is higher than projected in the rulemaking analyses (for more information on footprint trends, see EPA's CO2 and Fuel Economy Trends report at https://www.epa.gov/fuel-economy-trends). Tables A-5 and A-6 provide comparative data separately for cars and trucks for the 2012- 2016 model years (though projected values for use of credits by vehicle category are not available until model year 2016). -80- ------- Table A-4. Actual and Projected CO2 Values, Cars and Trucks Combined (g/mi) ACTUAL PROJECTED Off- N2O& Off- N2O& Model 2-Cycle FFV A/C TLAAS Cycle CH4 2-Cycle FFV A/C TLAAS Cycle ch4 Year Tailpipe Credit Credit Credit Credit Deficit Compliance Target Tailpipe Credit Credit Credit Credit Deficit Compliance Target 2012 298 7.8 6.1 0.6 0.6 0.2 284 296 307 6.5 3.5 1.2 0.0 N/A 295 295 2013 290 7.5 6.9 0.5 0.7 0.3 275 289 298 5.8 5.0 0.9 0.0 N/A 286 286 2014 290 8.5 8.3 0.2 2.4 0.2 271 284 290 5.0 7.5 0.6 0.0 N/A 276 276 2015 282 6.1 9.3 0.3 2.6 0.2 265 272 277 3.7 10.0 0.3 0.0 N/A 263 263 2016 281 0.0 9.9 0.0 2.8 0.1 269 260 261 0.0 10.6 0.1 0.5 N/A 250 250 Table A-5. Actual and Projected CO2 Values, Passenger Cars (g/mi) ACTUAL PROJECTED Off- N2O& Off- N2O& Model 2-Cycle FFV A/C TLAAS Cycle CH4 2-Cycle FFV A/C TLAAS Cycle ch4 Year Tailpipe Credit Credit Credit Credit Deficit Compliance Target Tailpipe Credit Credit Credit Credit Deficit Compliance Target 2012 259 4.0 5.4 0.2 0.4 0.1 249 267 N/A N/A N/A N/A 0.0 N/A 263 263 2013 251 4.0 6.3 0.1 0.6 0.3 240 261 N/A N/A N/A N/A 0.0 N/A 256 256 2014 250 4.6 7.4 0.1 1.6 0.3 237 253 N/A N/A N/A N/A 0.0 N/A 247 247 2015 243 3.1 8.0 0.0 1.9 0.1 230 241 N/A N/A N/A N/A 0.0 N/A 236 236 2016 240 0.0 8.6 0.0 1.8 0.1 230 231 235 0.0 10.2 0.0 0.4 N/A 225 225 Table A-6. Actual and Projected CO2 Values, Light Trucks (g/mi) ACTUAL PROJECTED Off- N2O& Off- N2O& Model 2-Cycle FFV A/C TLAAS Cycle CH4 2-Cycle FFV A/C TLAAS Cycle ch4 Year Tailpipe Credit Credit Credit Credit Deficit Compliance Target Tailpipe Credit Credit Credit Credit Deficit Compliance Target 2012 369 14.5 7.3 1.3 1.0 0.3 347 349 N/A N/A N/A N/A 0.0 N/A 346 346 2013 360 13.8 7.9 1.1 1.1 0.3 337 339 N/A N/A N/A N/A 0.0 N/A 337 337 2014 349 14.3 9.7 0.3 3.6 0.1 322 330 N/A N/A N/A N/A 0.0 N/A 326 326 2015 336 10.2 10.9 0.6 3.7 0.2 311 312 N/A N/A N/A N/A 0.0 N/A 312 312 2016 332 0.0 11.4 0.0 4.0 0.2 317 297 310 0.0 11.4 0.0 0.7 N/A 298 298 -81- ------- Appendix B: Vehicle Production Volume & Market Share Table B-l. Vehicle Production Volume by Manufacturer and Vehicle Category, Last Three Years Manufacturer Model Year 2014 Model Year 2015 Model Year 2016 Car Truck All Car Truck All Car Truck All BMW 297,388 81,938 379,326 338,704 87,135 425,839 289,036 99,451 388,487 BYD Motors 50 - 50 FCA 648,377 1,446,365 2,094,742 769,687 1,416,487 2,186,174 632,859 1,365,868 1,998,727 Ford 1,258,732 1,075,502 2,334,234 888,604 972,891 1,861,495 978,827 1,127,520 2,106,347 GM 1,556,701 1,164,610 2,721,311 1,331,442 1,525,017 2,856,459 1,222,917 1,354,255 2,577,172 Honda 868,337 577,828 1,446,165 1,020,610 556,864 1,577,474 1,071,532 731,659 1,803,191 Hyundai 509,920 38,441 548,361 604,286 41,839 646,125 698,686 19,927 718,613 Jaguar Land Rover 12,323 55,233 67,556 15,600 54,435 70,035 16,903 97,677 114,580 Kia 507,630 28,757 536,387 626,285 49,219 675,504 562,876 158,062 720,938 Mazda 217,333 78,826 296,159 207,100 78,793 285,893 305,635 153,192 458,827 Mercedes 278,126 92,312 370,438 231,899 123,727 355,626 220,201 109,864 330,065 Mitsubishi 60,679 29,828 90,507 91,822 39,366 131,188 26,172 49,097 75,269 Nissan 935,995 389,639 1,325,634 1,216,392 481,583 1,697,975 943,334 409,137 1,352,471 Subaru 109,078 356,818 465,896 175,352 447,383 622,735 153,926 402,071 555,997 Tesla 17,791 - 17,791 24,322 - 24,322 46,058 - 46,058 Toyota 1,423,148 770,302 2,193,450 1,524,190 1,127,056 2,651,246 1,355,012 1,022,967 2,377,979 Volkswagen 487,086 103,524 590,610 487,108 112,382 599,490 442,775 119,437 562,212 Volvo 16,526 15,063 31,589 43,901 24,284 68,185 32,207 57,283 89,490 All 9,205,220 6,304,986 15,510,206 9,597,304 7,138,461 16,735,765 8,998,956 7,277,467 16,276,423 -82- ------- Table B-2. Vehicle Category Market Share by Manufacturer and Model Year (%) Manufacturer 2012 2013 2014 2015 2016 Car Truck Car Truck Car Truck Car Truck Car Truck BMW 74 26 75 25 78 22 80 20 74 26 BYD Motors 100 0 100 0 100 0 Coda 100 0 100 0 FCA 35 65 43 57 31 69 35 65 32 68 Ford 60 40 49 51 54 46 48 52 46 54 GM 61 39 61 39 57 43 47 53 47 53 Honda 68 32 68 32 60 40 65 35 59 41 Hyundai 93 7 97 3 93 7 94 6 97 3 Jaguar Land Rover 23 77 25 75 18 82 22 78 15 85 Karma Automotive 100 0 Kia 90 10 97 3 95 5 93 7 78 22 Mazda 76 24 73 27 73 27 72 28 67 33 Mercedes 68 32 70 30 75 25 65 35 67 33 Mitsubishi 81 19 70 30 67 33 70 30 35 65 Nissan 73 27 71 29 71 29 72 28 70 30 Porsche 57 43 53 47 Subaru 39 61 41 59 23 77 28 72 28 72 Suzuki 81 19 90 10 Tesla 100 0 100 0 100 0 100 0 100 0 Toyota 64 36 60 40 65 35 57 43 57 43 Volkswagen 89 11 89 11 82 18 81 19 79 21 Volvo 73 27 57 43 52 48 64 36 36 64 All 64 36 64 36 59 41 57 43 55 45 -83- ------- Appendix C: 2012-2015 Model Year Compliance Values Table C-l. 2012 Compliance Values - Combined Passenger Car & Light Truck Fleet (g/mi) Credits (g/mi) 2-Cycle Off- CH4 & NzO Compliance Manufacturer Tailpipe FFV A/C Cycle Deficit Value BMW 302 0 8 3 0 290 BYD Motors 0 0 0 0 0 0 Coda 0 0 0 0 0 0 Ford 315 14 6 0 1 295 GM 331 16 8 1 0 306 Honda 266 0 4 0 0 263 Hyundai 249 0 4 0 0 244 Jaguar Land Rover 426 0 7 0 0 418 Karma Automotive 102 0 0 0 102 Kia 266 0 5 0 0 261 Mazda 263 0 0 0 0 263 Mercedes 343 13 10 0 0 320 Mitsubishi 267 0 0 0 0 267 Nissan 295 4 3 0 0 288 Porsche 342 0 0 0 0 342 Subaru 282 0 2 0 0 280 Suzuki 287 0 0 0 0 287 Tesla 0 0 6 0 0 -6 Toyota 273 4 7 0 0 263 Volvo 311 0 11 0 0 300 FCAf 357 18 10 2 0 327 Volkswagenf 282 1 7 1 2 Fleet Total 302 8 6 1 0 287 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -84- ------- Table C-2. 2012 Compliance Values - Passenger Car Fleet (g/mi) Credits (g/mi) 2-Cycle Off- CH4&N20 Compliance Manufacturer Tailpipe FFV A/C Cycle Deficit Value BMW 277 0 7 3 0 267 BYD Motors 0 0 0 0 0 0 Coda 0 0 0 0 0 0 Ford 261 9 5 1 0 247 GM 283 11 8 1 0 263 Honda 237 0 3 0 0 234 Hyundai 243 0 4 0 0 239 Jaguar Land Rover 376 0 5 0 0 371 Karma Automotive 102 0 0 0 102 Kia 258 0 5 0 0 253 Mazda 241 0 0 0 0 241 Mercedes 316 11 9 1 0 295 Mitsubishi 262 0 0 0 0 262 Nissan 258 0 2 0 0 256 Porsche 325 0 0 0 0 325 Subaru 257 0 2 0 0 255 Suzuki 267 0 0 0 0 267 Tesla 0 0 6 0 0 -6 Toyota 221 0 7 0 0 214 Volvo 297 0 11 0 0 286 FCAf 300 13 9 1 0 277 Volkswagenf 274 1 6 1 2 268 Fleet Total 259 4.0 5 0 0 249 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -85 - ------- Table C-3. 2012 Compliance Values - Light Truck Fleet (g/mi) Credits (g/mi) 2-Cycle Off- CH4&N2O Compliance Manufacturer Tailpipe FFV A/C Cycle Deficit Value BMW 363 0 11 5 1 348 Ford 385 21 8 0 1 357 GM 397 23 8 2 0 364 Honda 320 0 5 0 0 315 Hyundai 312 0 7 0 0 305 Jaguar Land Rover 439 0 8 0 0 431 Kia 324 0 3 0 0 321 Mazda 324 0 0 0 0 324 Mercedes 393 15 11 0 0 366 Mitsubishi 283 0 0 0 0 283 Nissan 382 15 4 0 0 363 Porsche 362 0 0 0 0 362 Subaru 296 0 2 0 0 294 Suzuki 361 0 0 0 0 361 Toyota 354 9 6 0 0 339 Volvo 343 0 12 0 0 331 FCAf 384 21 10 2 0 351 Volkswagenf 332 0 9 1 1 323 Fleet Total 369 14 7 1 0 347 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -86- ------- Table C-4. 2013 Compliance Values - Combined Passenger Car & Light Truck Fleet (g/mi) Credits (g/mi) 2-Cycle Off- CH4 & NzO Compliance Manufacturer Tailpipe FFV A/C Cycle Deficit Value BMW 292 0 9 4 0 279 BYD Motors 0 0 0 0 0 0 Coda 0 0 0 0 0 0 Ford 321 15 8 1 1 298 GM 325 15 9 1 0 299 Honda 257 0 4 0 1 254 Hyundai 241 0 5 0 0 236 Jaguar Land Rover 399 1 8 0 0 390 Kia 254 0 5 0 0 249 Mazda 251 0 0 0 0 251 Mercedes 321 12 10 1 0 297 Mitsubishi 258 0 0 0 0 258 Nissan 266 3 4 0 0 260 Porsche 336 0 0 0 0 336 Subaru 264 0 2 0 0 262 Suzuki 273 0 0 0 0 273 Tesla 0 0 6 0 0 -6 Toyota 278 3 7 0 0 268 Volvo 318 0 10 0 0 307 FCAf 344 17 10 2 0 314 Volkswagenf 279 8 7 1 2 264 Fleet Total 294 8 7 1 0 278 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -87- ------- Table C-5. 2013 Compliance Values - Passenger Car Fleet (g/mi) Credits (g/mi) 2-Cycle Off- CH4&N20 Compliance Manufacturer Tailpipe FFV A/C Cycle Deficit Value BMW 271 0 8 3 0 260 BYD Motors 0 0 0 0 0 0 Coda 0 0 0 0 0 0 Ford 256 9 7 1 0 239 GM 273 10 9 1 0 253 Honda 228 0 4 0 1 226 Hyundai 238 0 5 0 0 233 Jaguar Land Rover 347 5 5 0 0 337 Kia 252 0 5 0 0 247 Mazda 232 0 0 0 0 232 Mercedes 296 12 9 1 0 273 Mitsubishi 254 0 0 0 0 254 Nissan 232 0 4 0 0 228 Porsche 309 0 0 0 0 309 Subaru 254 0 1 0 0 253 Suzuki 266 0 0 0 0 266 Tesla 0 0 6 0 0 -6 Toyota 225 0 7 0 0 218 Volvo 292 0 10 0 0 282 FCAf 289 12 10 1 0 267 Volkswagenf 272 7 6 1 2 259 Fleet Total 251 4 6 1 0 240 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -88- ------- Table C-6. 2013 Compliance Values - Light Truck Fleet (g/mi) Credits (g/mi) 2-Cycle Off- CH4&N2O Compliance Manufacturer Tailpipe FFV A/C Cycle Deficit Value BMW 346 0 11 6 0 329 Ford 375 20 8 1 1 347 GM 395 22 9 2 0 362 Honda 312 0 6 0 0 306 Hyundai 317 0 7 0 0 310 Jaguar Land Rover 414 0 9 0 0 405 Kia 301 0 8 0 0 293 Mazda 296 0 0 0 0 296 Mercedes 371 12 12 1 0 346 Mitsubishi 267 0 0 0 0 267 Nissan 340 8 4 0 0 328 Porsche 363 0 0 0 0 363 Subaru 270 0 2 0 0 268 Suzuki 330 0 0 0 0 330 Toyota 347 8 7 0 0 332 Volvo 348 0 11 0 0 337 FCAf 380 21 11 3 0 345 Volkswagenf 327 15 10 1 1 301 Fleet Total 360 14 8 1 0 337 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -89- ------- Table C-7. 2014 Compliance Values - Combined Passenger Car & Light Truck Fleet (g/mi) Credits (g/mi) 2-Cycle Off- CH4 & N20 Compliance Manufacturer Tailpipe FFV A/C Cycle Deficit Value BMW 270 0 9 4 1 257 BYD Motors 0 0 0 0 0 0 Ford 315 14 9 3 0 289 GM 314 14 10 2 0 288 Honda 259 0 5 1 1 254 Hyundai 253 0 6 1 0 247 Jaguar Land Rover 369 15 21 5 0 328 Kia 269 0 6 1 0 262 Mazda 240 0 0 0 0 240 Mercedes 309 12 11 2 0 284 Mitsubishi 236 0 0 0 0 236 Nissan 263 3 6 2 0 253 Subaru 253 0 2 0 0 251 Tesla 0 0 6 0 0 -6 Toyota 274 6 8 3 0 257 Volvo 319 0 8 0 0 311 FCAf 346 17 14 6 0 309 Volkswagenf 280 11 9 0 2 261 Fleet Total 294 9 8 3 0 274 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -90- ------- Table C-8. 2014 Compliance Values - Passenger Car Fleet (g/mi) Credits (g/mi) 2-Cycle Off- CH4&N2O Compliance Manufacturer Tailpipe FFV A/C Cycle Deficit Value BMW 256 0 8 3 1 245 BYD Motors 0 0 0 0 0 0 Ford 256 9 8 2 0 237 GM 267 10 9 1 0 246 Honda 228 0 4 1 1 225 Hyundai 247 0 6 1 0 241 Jaguar Land Rover 330 1 12 2 0 316 Kia 265 0 6 1 0 258 Mazda 220 0 0 0 0 220 Mercedes 285 11 10 3 0 262 Mitsubishi 224 0 0 0 0 224 Nissan 229 0 5 1 0 222 Subaru 250 0 1 0 0 249 Tesla 0 0 6 0 0 -6 Toyota 221 0 8 2 0 211 Volvo 288 0 8 0 0 280 FCAf 298 12 13 3 0 270 Volkswagenf 266 10 8 0 2 249 Fleet Total 250 5 7 2 0 237 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -91- ------- Table C-9. 2014 Compliance Values - Light Truck Fleet (g/mi) Credits (g/mi) 2-Cycle Off- CH4&N2O Compliance Manufacturer Tailpipe FFV A/C Cycle Deficit Value BMW 312 0 11 6 1 295 Ford 375 20 10 3 0 342 GM 369 19 11 3 0 336 Honda 299 0 6 2 0 291 Hyundai 325 0 7 4 0 315 Jaguar Land Rover 377 18 22 6 0 331 Kia 330 0 5 1 0 324 Mazda 287 0 0 0 0 287 Mercedes 372 17 12 1 0 342 Mitsubishi 256 0 0 0 0 256 Nissan 335 8 6 2 0 318 Subaru 254 0 2 0 0 252 Toyota 358 15 7 3 0 333 Volvo 348 0 8 0 0 340 FCAf 364 19 14 7 0 324 Volkswagenf 336 16 12 0 1 309 Fleet Total 349 14 10 4 0 322 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -92- ------- Table C-10. 2015 Compliance Values - Combined Passenger Car & Light Truck Fleet (g/mi) Credits (g/mi) 2-Cycle Off- CH4 & N20 Compliance Manufacturer Tailpipe FFV A/C Cycle Deficit Value BMW 270 0 9 4 0 257 Ford 311 12 10 3 0 287 GM 321 12 10 3 0 296 Honda 243 0 5 2 0 236 Hyundai 252 0 6 2 0 244 Jaguar Land Rover 346 7 21 5 0 313 Kia 266 0 6 1 0 258 Mazda 238 0 0 0 0 238 Mercedes 301 6 11 3 0 281 Mitsubishi 228 0 0 0 0 228 Nissan 245 2 7 2 1 235 Subaru 245 0 2 0 0 243 Tesla 0 0 6 0 0 -6 Toyota 279 4 8 3 0 265 Volvo 285 0 8 0 0 277 FCAf 329 13 19 6 0 291 Volkswagenf 269 8 9 0 1 Fleet Total 286 6 9 3 0 268 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -93- ------- Table C-ll. 2015 Compliance Values - Passenger Car Fleet (g/mi) Credits (g/mi) 2-Cycle Off- CH4 & N20 Compliance Manufacturer Tailpipe FFV A/C Cycle Deficit Value BMW 256 0 9 4 0 244 Ford 258 8 9 2 0 239 GM 267 8 10 2 0 247 Honda 217 0 4 1 0 212 Hyundai 246 0 6 1 0 238 Jaguar Land Rover 337 13 14 2 0 308 Kia 260 0 6 1 0 253 Mazda 217 0 0 0 0 217 Mercedes 273 6 11 4 0 253 Mitsubishi 215 0 0 0 0 215 Nissan 217 0 7 2 0 209 Subaru 241 0 3 0 0 238 Tesla 0 0 6 0 0 -6 Toyota 225 0 8 3 0 215 Volvo 254 0 8 0 0 246 FCAf 275 9 17 3 0 246 Volkswagenf 251 7 9 0 1 236 Fleet Total 243 3 8 2 0 230 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -94- ------- Table C-12. 2015 Compliance Values - Light Truck Fleet (g/mi) Credits (g/mi) 2-Cycle Off- CH4&N2O Compliance Manufacturer Tailpipe FFV A/C Cycle Deficit Value BMW 316 0 11 7 1 300 Ford 353 15 11 3 0 324 GM 362 15 11 4 0 332 Honda 283 0 7 2 1 275 Hyundai 324 0 7 3 0 313 Jaguar Land Rover 349 6 23 5 0 315 Kia 327 0 6 2 0 319 Mazda 285 0 0 0 0 285 Mercedes 347 5 12 3 0 327 Mitsubishi 254 0 0 0 0 254 Nissan 307 6 8 3 1 291 Subaru 247 0 2 0 0 244 Toyota 342 8 8 3 0 323 Volvo 333 0 9 0 0 324 FCAf 354 15 19 7 0 312 Volkswagenf 336 13 12 0 0 311 Fleet Total 336 10 11 4 0 311 fFCA and Volkswagen are listed separately in this table due to an ongoing investigation and/or corrective actions. These data are based on initial certification data, and are included in industry-wide "Total" or "All" values. Should the investigation and corrective actions yield different C02 data, any relevant changes will be used in future reports. -95 - ------- Appendix D: 2016 Model Year Report Credits and Deficits Table D-l. 2016 Model Year Reported Credits and Deficits Manufacturer Pathway Fleet Credit Type Fleet Average (g/mi) Fleet Standard (g/mi) Production Volume Credits (Mg) BMW Primary Car Fleet Average A/C Leakage A/C Efficiency Off-Cycle N20 Deficit CH4 Deficit Advanced Technology 262 235 289,036 (1,523,835) 261,750 241,276 213,889 (6,982) (879) 6,292 Truck Fleet Average A/C Leakage A/C Efficiency Off-Cycle N20 Deficit CH4 Deficit Advanced Technology 310 286 99,451 (539,100) 156,928 97,329 155,758 (8,976) (1,130) 5,463 FCA Primary Car Fleet Average A/C Leakage A/C Efficiency Off-Cycle CH4 Deficit Advanced Technology 288 237 632,859 631,774 631,223 551 4,639 (6,302,304) 1,509,550 601,135 389,320 (38) Truck Fleet Average A/C Leakage A/C Efficiency Off-Cycle CH4 Deficit 348 295 1,365,868 1,365,868 1,365,148 32,073 (16,350,594) 4,537,811 1,309,446 2,474,713 (5,071) Ford Primary Car Fleet Average A/C Leakage A/C Efficiency Off-Cycle N20 Deficit CH4 Deficit Advanced Technology 254 234 978,827 (3,822,594) 1,202,274 533,799 330,086 (3,489) (8,479) 22,343 -96- ------- Table D-l. 2016 Model Year Reported Credits and Deficits Manufacturer Pathway Fleet Credit Type Fleet Average (g/mi) Fleet Standard (g/mi) Production Volume Credits (Mg) Truck Fleet Average A/C Leakage A/C Efficiency Off-Cycle N20 Deficit CH4 Deficit 354 315 1,127,520 (9,932,025) 1,951,941 877,364 936,002 (56,591) (78,171) GM Primary Car Fleet Average A/C Leakage A/C Efficiency Off-Cycle CH4 Deficit Advanced Technology 260 233 1,222,917 (6,447,375) 1,529,206 877,339 662,961 (2,922) 12,447 Truck Fleet Average A/C Leakage A/C Efficiency Off-Cycle N20 Deficit CH4 Deficit 365 318 1,354,255 (14,376,304) 2,043,970 1,323,933 1,227,378 (17,554) (11,055) Honda Primary Car Fleet Average A/C Leakage A/C Efficiency Off-Cycle 213 227 1,071,532 2,929,243 1,242,114 624,733 354,307 Truck Fleet Average A/C Leakage A/C Efficiency Off-Cycle 285 281 731,659 (661,025) 784,533 512,895 379,221 Hyundai Primary Car Fleet Average A/C Leakage A/C Efficiency Off-Cycle Advanced Technology 236 231 698,686 (682,141) 372,376 520,949 162,564 1,432 Truck Fleet Average A/C Leakage A/C Efficiency Off-Cycle 339 280 19,927 (265,548) 7,202 16,754 21,408 Jaguar Land Rover Primary Car Fleet Average 322 250 16,903 (237,639) -97- ------- Table D-l. 2016 Model Year Reported Credits and Deficits Manufacturer Pathway Fleet Credit Type Fleet Fleet Average Standard (g/mi) (g/mi) Production Volume Credits (Mg) A/C Leakage A/C Efficiency Off-Cycle Truck Fleet Average A/C Leakage A/C Efficiency Off-Cycle 361 288 97,677 45,546 18,814 10,018 (1,610,513) 379,462 125,753 169,333 Kia Primary Car Fleet Average A/C Leakage A/C Efficiency Off-Cycle Advanced Technology 246 229 Truck Fleet Average A/C Leakage A/C Efficiency Off-Cycle 330 288 562,876 2,788 158,062 (1,868,460) 283,543 381,366 146,732 (1,499,428) 97,287 121,382 118,830 Mazda Primary Car Fleet Average 214 228 Truck Fleet Average N20 Deficit 259 271 305,635 153,192 835,513 415,209 (6,763) Mercedes Primary Car Fleet Average A/C Leakage A/C Efficiency Off-Cycle Advanced Technology 269 239 Truck Fleet Average A/C Leakage A/C Efficiency Off-Cycle Advanced Technology 342 290 220,201 2,171 109,864 194 (1,289,920) 236,227 233,353 155,616 (1,290,350) 176,030 131,987 81,796 Mitsubishi Primary Car Fleet Average A/C Leakage Advanced Technology 241 219 Truck Fleet Average A/C Leakage 251 260 26,172 130 49,097 (112,430) 14,092 99,804 72,505 Nissan Primary Car Fleet Average 221 229 943,334 1,473,593 -98- ------- Table D-l. 2016 Model Year Reported Credits and Deficits Fleet Fleet Average Standard Production Manufacturer Pathway Fleet Credit Type (g/mi) (g/mi) Volume Credits (Mg) A/C Leakage 746,573 A/C Efficiency 562,084 Off-Cycle 339,915 N20 Deficit (56,360) CH4 Deficit (4,401) Advanced Technology 13,128 Truck Fleet Average 297 284 409,137 (1,201,326) A/C Leakage 633,442 A/C Efficiency 233,228 Off-Cycle 251,409 N20 Deficit (87,252) CH4 Deficit (7,320) Subaru Primary Car Fleet Average 244 224 153,926 (601,124) A/C Efficiency 88,364 _ Off-Cycle _ _ 10,458 Truck Fleet Average 246 262 402,071 1,453,020 A/C Efficiency 246,860 Off-Cycle 16,419 Tesla Primary Car Fleet Average 0 267 46,058 2,401,256 A/C Efficiency 49,058 51,263 Advanced Technology 46,058 Toyota Primary Car Fleet Average 224 228 1,355,012 1,058,340 A/C Leakage 897,532 A/C Efficiency 1,314,746 Off-Cycle 360,276 _ N20 Deficit _ _ (18,288) Truck Fleet Average 342 292 1,022,967 (11,552,622) A/C Leakage 1,529,031 A/C Efficiency 945,443 Off-Cycle 762,051 N2Q Deficit (24,344) Volkswagen Primary Car Fleet Average 247 226 442,775 (1,815,618) A/C Leakage 392,728 A/C Efficiency 275,942 N20 Deficit (1,096) CH4 Deficit (200) -99- ------- Table D-l. 2016 Model Year Reported Credits and Deficits Fleet Fleet Average Standard Production Manufacturer Pathway Fleet Credit Type (g/mi) (g/mi) Volume Credits (Mg) Advanced Technology 10,676 Truck Fleet Average 320 279 119,437 A/C Leakage A/C Efficiency N20 Deficit CH4 Deficit Advanced Technology 2,100 Volvo Primary Car Fleet Average A/C Leakage A/C Efficiency 249 238 32,207 (69,178) 31,954 20,754 Truck Fleet Average A/C Leakage A/C Efficiency 300 289 57,283 (142,320) 95,407 54,165 (1,106,042) 191,593 136,930 (3,546) (481) -100- ------- |