Evolutionary algorithm memory enhancement for real-time CSO control

Andrea Zimmer, Barbara Minsker, Arthur Schmidt, Avi Ostfeld

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Control of combined sewer overflows (CSOs) may be enhanced through real-time decision support. An optimization algorithm adapted for changing rainfall is used to dynamically control complex sewer hydraulics to minimize CSO volume. Different methods of enhancing the optimization for real-time processing consist of: separating the hydraulic model for multi-objective optimization or to optimize only critical portions of the sewer system, using an efficient optimization technique, and incorporating memory into the optimization to speed convergence to a solution for each forecasted rainfall change. Potential optimal management solutions and the associated environmental characteristics can be stored and used to re-initialize the optimization at each environmental change. The memory may also be altered to indicate what precision of hydraulic model should be used for different rainfall conditions.

Original languageEnglish (US)
Title of host publicationWorld Environmental and Water Resources Congress 2010
Subtitle of host publicationChallenges of Change - Proceedings of the World Environmental and Water Resources Congress 2010
Pages2251-2259
Number of pages9
DOIs
StatePublished - 2010
Externally publishedYes
EventWorld Environmental and Water Resources Congress 2010: Challenges of Change - Providence, RI, United States
Duration: May 16 2010May 20 2010

Publication series

NameWorld Environmental and Water Resources Congress 2010: Challenges of Change - Proceedings of the World Environmental and Water Resources Congress 2010

Other

OtherWorld Environmental and Water Resources Congress 2010: Challenges of Change
Country/TerritoryUnited States
CityProvidence, RI
Period5/16/105/20/10

Keywords

  • Colorado
  • Hydraulic models
  • Overflow
  • Rainfall
  • Sewers

ASJC Scopus subject areas

  • Water Science and Technology

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