United States
                    Environmental Protection
                    Agency
Municipal Environmental Research
Laboratory
Cincinnati OH 45268
                    Research and Development
EPA-600/S2-83-084  Nov. 1983
&ER&          Project  Summary

                    Demonstrate  Real  Time
                   Automatic  Control  of Combined
                    Sewer  Systems
                    Harold C. Coffee, Donald E. Evenson, Paul R. Giguere,
                    Gene T. Handa, Christos A. Phanartzis, and Larry A. Roesner
IV'
                     This study's primary objective was to
                   develop a real time automatic control
                   model that could be used in connection
                   with a combined sewer system to mini-
                   mize overflows during storms. The
                   model was applied to the North Shore
                   Outfall Consolidation Project in San
                   Francisco. This project consists of a
                   larger transport-storage facility that in-
                   tercepts existing outfalls and allows
                   flows to be pumped to a primary or a
                   secondary treatment plant depending
                   on operational strategy. The perfor-
                   mance  of four reactive control strate-
                   gies and one reactive-predictive strate-
                   gy were formulated and evaluated for
                   pollutant removal. The  cost effective-
                   ness of each was then determined.
                     This Project Summary was developed
                   by EPA's Municipal Environmental
                   Research Laboratory. Cincinnati. OH.
                   to announce key findings of the research
                   project that is fully documented in a
                   separate report of the same title (see
                   Project Report ordering information at
                   back).

                   Introduction
                     San Francisco has a  requirement to
                   reduce  wet weather overflows from a
                   statistical average of 82 per year to 4 per
                   year. Part of the overall plan for combined
                   sewer overflow control involves the North
                   Shore Outfall Consolidation Project. This
                   project includes a  transport-storage
                   facility with a total storage volume of 19
                   million gal. A pumping system for
                   transporting wet weather flows initially
                   to the North Point Plant is designed for a
                   maximum capacity of  150  mgd. Dry
                   weather capacity is 30 mgd. Eventually
secondary treatment for dry weather
flows would be provided at an expanded
Southwest Plant and wet weather flows
would be pumped to a proposed Southwest
Plant providing primary treatment. The
objective of the project was to develop a
real time automatic control  model that
would manage the movement and location
of the water in the system to minimize the
pollution load to the primary treatment
plant.


Summary of the Project Scope
  This report presents the findings of the
first phase of the total effort dealing only
with the development and application of
concepts and methods for analyzing real
time automatic control systems. Control
system objectives were to:

 1. limit untreated overflows to an
   average of less than one per year (this
   was later changed to four by the
   California Regional Water Quality
   Control Board),
 2. control the location of overflow
   points,
 2. provide the best treatment possible to
   all flows,
 4. make optimal use of all  facilities to
   avoid higher costs, and
 5. provide data logs  and reports for
   current needs and for historical
   records.

  To  achieve these, three  alternative
methods of control were considered in
the study:

 1. remote manual  control  with data
   logging,

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 2. central digital (automatic) control and
   data logging, and
 3. distributed  digital  control  and data
   logging.

  Only two types of control philosophies
were applicable to the system:

 1. purely reactive control and
 2. integrated reactive-predictive control.

  Four  reactive  control strategies and
one  reactive-predictive strategy were
formulated and evaluated in the course of
the study:

 1. basic operation strategy (this strategy
   represents the basic required strategy
   to meet the overflow objectives),
 2. basic operating strategy with seasonal
   constraints,
 3. basic operating strategy with minimum
   storage constraints,
 4. basic operating strategy with season-
   al and minimum storage constraints,
   and
 5. basic operating strategy with  rainfall
   prediction and seasonal and minimum
   storage constraints.
These strategies  are first described
generally and then in terms of the basic
philosophy of control they represent and
the types of control devices required to
implement them. The devices  include
water level recorders,  flow gates, dams,
weirs,  pumps,  and digital  control and
computer hardware.
  Four mathematical models were inves-
tigated for application  as analytical tools
that  could  be  used for developing and
testing control strategies and for simulat-
ing inflows to the system and its resulting
hydraulic response,  based  either on
historical or real time conditions. The
three computer models were TREAT and
the RUNOFF and TRANSPORT Blocks of
EPA's Storm Management Model (SWMM).
Each  model is described  briefly,  and  its
potential usefulness in  this study is
explored. Applications of  the  models to
the project are described and example
results presented. The  fourth  model
involves rainfall prediction — a necessary
input for predictive control strategies. The
subjects include alternative techniques
available for rainfall prediction, local
rainfall characteristics and data availability
in the  San Francisco area, and the
computer model RAFORT, which was
developed specifically  for the project and
is applicable  to real time operation
Examples of rainfall  predictions made
with RAFORT are included.
  After considering the basic analytical
tools need to  assess the alternative
control  strategies for the  project, the
results of the assessment are given. For
each strategy introduced, the computer
model TREAT simulated details of the
system over a 70-year period. The major
inputs and processes modeled included
rainfall/runoff, dry weather flows,
primary and secondary treatment, storage,
and  untreated overflows.  The TREAT
algorithms were modified so the control
system could operate for each simulated
alternative control strategy. TREAT then
produced a complete statistical frequency
distribution for 12 performance indicators,
including such  measures as the annual
number of wet weather events and the
associated  amount and  duration  of
treatment, storage, and  untreated over-
flows. A rough measure of the relative
reductions in pollutant load discharged in
each case was also computed.
  The annual capital and operation and
maintenance  costs  for  each strategy
were estimated based on the added costs
attributed to the control  system. A cost-
effectiveness analysis was then performed
to arrive at conclusions  on the  best
strategies for the system.

Conclusions and
Recommendations
  The conclusions and recommendations
relate to the  general  concepts and
approaches  developed during the study
rather than to the specific operation of the
San Francisco Project. Some of the major
conclusions drawn were:

 • Control strategies can have a signifi-
   cant impact on the overall performance
   of the system and should be considered
   during the facilities planning and
   design phase.
 • For the San Francisco Project and an
   overflow objective of one per year, the
   best  control strategy appears to  be
   reactive.
 • Reactive-predictive  strategies have
   modest potential for improving system
   performance but are limited  by
   inaccuracies in  rainfall  prediction
   methodology.
 • The model TREAT is useful in evaluat-
   ing control strategies but is inadequate
   for  use in  real time  control if a
   predictive strategy is selected.
 • The RUNOFF Block of SWMM could
   be used in real time control under a
   predictive strategy.
 • The TRANSPORT Block of SWMM is
   too  complex  and is too subject to
   numerical instabilities for use in real
   time control.
 • The best control strategy depends on
   the  system  design  and the control
   objectives; changes in either will alter
   the control strategy that provides the
   best performance.

  The  full report was  submitted in
fulfillment of Cooperative Agreement No.
CS-803743 by the City and County of San
Francisco under the sponsorship of the
U.S.  Environmental Protection Agency.

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Harold C. Coffee, Gene T. Handa, and ChristosA. Phananzis are with the City and
  County of San Francisco. San Francisco, CA 94102; Donald E. Evenson and Paul
  R. Giguere are with Camp Dresser and McKee, Inc., Walnut Creek, CA 94596;
  and Larry R. Roesner is with Camp Dresser and McKee, Inc., Annandale, VA
  22003.
Richard Field is the EPA Project Officer (see below).
The complete report, entitled "Demonstrate Real Time Automatic Control of
  Combined Sewer Systems," (Order No. PB 83-259 705.Cost: $ 16.00, subject to
  change) will be available only from:
        National Technical Information Service
        5285 Port Royal Road
        Springfield,  VA 22161
        Telephone: 703-487-4650
The EPA Project Officer can be contacted at:
        Storm and Combined Sewer Program
        Municipal Environmental Research Laboratory—Cincinnati
        U. S. Environmental Protection Agency
        Edison, NJ 08837
                                             irUS GOVERNMENT PRINTING OFFICE 1983-659-017/7228

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