Optimal water supply management using dynamic simulation

G. Chung, K. Lansey

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

Abstract

Increasing population is stressing already limited water supplies in the arid southwest US and elsewhere. Large-scale water supply management system is difficult given the complexities of water management policies. The objective of this paper is to develop a set of general water supply planning tool that can assist decision makers with long range planning decisions. The tool consists of simulation and optimization packages. The simulation model is geared to a general audience and developed in a dynamic simulation environment using Powersim Studio. A genetic Algorithm (GA) is linked with the simulation package to determine optimal system expansion and operation policies. Future conditions are assumed to be known with certainty for a sequence of operation periods. Copyright ASCE 2005.

Original languageEnglish (US)
Title of host publicationWorld Water Congress 2005
Subtitle of host publicationImpacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress
Number of pages1
DOIs
StatePublished - Dec 1 2005
Event2005 World Water and Environmental Resources Congress - Anchorage, AK, United States
Duration: May 15 2005May 19 2005

Publication series

NameWorld Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress

Other

Other2005 World Water and Environmental Resources Congress
CountryUnited States
CityAnchorage, AK
Period5/15/055/19/05

ASJC Scopus subject areas

  • Water Science and Technology

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    Chung, G., & Lansey, K. (2005). Optimal water supply management using dynamic simulation. In World Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress (World Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress). https://doi.org/10.1061/40792(173)75