Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/41661
Type: Conference paper
Title: San Diego water assesses pipeline replacement options using GA optimization
Author: Wilson, L.
Moshavegh, F.
Frey, J.
Kolokas, L.
Simpson, A.
Citation: 2002 infrastructure conference [electronic resource] : proceedings, March 10-13, 2002 / American Water Works Association: 12 p.
Publisher: American Water Works Association
Issue Date: 2002
ISBN: 1583211799
Conference Name: Infrastructure Conference (2002 : Chicago, Ill.)
Statement of
Responsibility: 
Wilson, Leonard L.; Moshavegh, Feryal; Frey, Jeffery; Kolokas, Lee; Simpson, Angus R.
Abstract: The City of San Diego faces a two-pronged infrastructure challenge as it seeks to provide continued excellence in water service to its customers. The City continues to undergo rapid growth in many areas of the system, while at the same time facing an accelerating need for rehabilitation and replacement of aging transmission and distribution mains. Over the coming years, these challenges could place a significant strain on the water system infrastructure if proper planning and execution of capital projects are not accomplished in a timely manner. The Water Policy, CIP Finance, and Planning Division of City of San Diego Water Department (SDW) is responding to this challenge by applying optimization analysis to help identify the most cost-effective and hydraulically appropriate planning solutions. This paper describes a cutting-edge genetic algorithm (GA) optimization study of pipeline replacement options that SDW recently completed for its Alvarado Water Treatment Plant service area. The GA consultants customized their software to suit SDW's Alvarado area hydraulic model, then proceeded to optimize rehabilitation and replacement options for 25.7 miles of existing pipelines and 10.5 miles of potential new pipes. SDW is now moving ahead to implement the first stages of the resulting $35 million year 2030 optimized Alvarado area plan. Includes 4 references, figures.
Keywords: Optimization; Pipelines; Planning; San Diego, California; Rehabilitation; Infrastructure; Modeling; Software; Hydraulics; Costs
Rights: Copyright status unknown
RMID: 0020075578
Description (link): http://trove.nla.gov.au/work/31626536?q&versionId=38341750
Published version: http://www.techstreet.com/cgi-bin/detail?product_id=939445
Appears in Collections:Civil and Environmental Engineering publications
Environment Institute publications

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