Office of Solid Waste and Emergency Response (5102(3) EPA 542-F-04-002 February 2004 clu-in.org/optimization Improving Pumping Strategies for Pump and Treat Systems With Numerical Simulation-Optimization Techniques Demonstration Projects and Related Websites Why Optimize? To identify pumping strategies that: minimize life-cycle costs, annual costs, or cleanup time while assuring protectiveness maximize mass removal minimize pumping rate required for plume capture What are Simulation-Optimization Techniques? These are mathematical techniques that couple simulations of groundwater flow (e.g., MODFLOW) and/or contaminant transport (e.g., MT3D) with mathematical optimization algorithms, to determine an optimal solution when many possible solutions exist. Bad solution Potential solution Potential solution Potential solution Potential solution . Good / ution Bad solution Potential solatia Very good solution Very good solutigj Bad solution Potential solution Very good solution Bad sd faon \J Potential solution Good solution Potential solution., . V , . Bad solution Potential solution E OPTIMAL OLUTION Good solution Bad solution Bad solution Potential solution iry good solution Bad solution Good solution Very good solution Potential solution Very good solution Bad solution The simulation-optimization approach is more efficient than simulating a small number of pumping scenarios in a "trial and error" manner (the traditional approach), and typically yields a much improved result. There are two general subclasses of simulation-optimization methods for ground water pump and treat systems: Hydraulic Optimization - based on ground water flow modeling (not transport), most appropriate when hydraulic containment is the primary concern Transport Optimization - based on groundwater flow and transport modeling, most appropriate when aquifer restoration is the primary concern (containment can also be considered) Preliminary Steps Optimization Formulation gio W ca V) QO • 01 fs* Environmental Protection Agency >n 5, Library (PL-12J) est Jackson Boulevard, 12th Fid go, IL 60604-3590 Consider system goals Create numerical model(s) suitable for design purposes* h *Hydraulic optimization flow and contaminant ti Determine an appropriate objective that can be represented by a mathematical function and can be minimized or maximized Determine constraints (limits on well locations, pumping rates, water levels, capital costs, etc.) Select a suitable simulation-optimization code *Hydraulic optimization only requires a groundwater flow model. Transport optimization requires both groundwater flow and contaminant transport models. "Optimize" involves many systematic runs of the simulation model. ------- What demonstration projects have been completed? EPA and DOD have highlighted two projects that demonstrate the application of simulation-optimization techniques for pump and treat systems at multiple real-world sites. Applicable Sites Type of Ground Water Model Optimization Technique Agencies Funding the Demonstration Demonstration Completion Date Number of Demonstration Sites Summary of Results Hydraulic Optimization Demonstration Project Priority is plume containment Ground water flow model (e.g., MODFLOW) Linear and mixed-integer programming USEPA Technology Innovation Office (ow known as the Office of Superfund Remediation and Technology Innovation, or OSRTI) 1999 3 sites (multiple formulations per site) Potential cost avoidance of millions of dollars in life-cycle costs were demonstrated at two of the three demonstration sites Transport Optimization Demonstration Project Priority is plume cleanup or mass removal, containment can also be considered Ground water flow and transport model (e.g., MODFLOW/MT3DMS) Nonlinear programming using global search algorithms Department of Defense ESTCP Program (lead agency was the Naval Facilities Engineering Command) and USEPA Technology Innovation Office 2003 3 sites (three formulations per site) In every case, both simulation-optimization codes outperformed a third group using traditional "trial-and-error" simulations, representative improvement was 20 percent improved pumping strategies could yield $ millions in life-cycle cost savings at some sites Lessons Learned Simulation-optimization approaches can be effectively applied at real-world sites A 20 percent improvement in the objective function value (the item being minimized or maximized) is typical Optimization results can not be generalized a specific analysis for each site is required Final reports and details pertaining to each demonstration project (including codes), and general information on simulation-optimization techniques, can be found on the Federal Remediation Technologies Roundtable (FRTR) website listed below. Federal Remediation Technologies Roundtable Website (http://www.frtr.gov) Hydraulic Optimization Demonstration Project http:llwww.frtr.govloptimizationlsimulationlhydrauliclgeneral.html Transport Optimization Demonstration Project http:llwww.frtr.govloptimizationlsimulationltransportlgeneral.html General Information http:Hwww.frtr.govloptimizationlsimulation.htm USEPA Contact: Kathy Yager (OSRTI), 703-603-9910, yager.kathleen@epa.gov ------- |