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Open AccessArticle

PEPSO: Reducing Electricity Usage and Associated Pollution Emissions of Water Pumps

1
CDM Smith Inc., Detroit, MI 48226, USA
2
Department of Civil and Environmental Engineering, Wayne State University, Detroit, MI 48202, USA
*
Author to whom correspondence should be addressed.
Water 2017, 9(9), 640; https://doi.org/10.3390/w9090640
Received: 1 July 2017 / Revised: 20 August 2017 / Accepted: 21 August 2017 / Published: 26 August 2017
Using metaheuristic optimization methods has enabled researchers to reduce the electricity consumption cost of small water distribution systems (WDSs). However, dealing with complicated WDSs and reducing their environmental footprint remains a challenge. In this study a multi-objective version of Pollution Emission Pump Station Optimization tool (PEPSO) is introduced that can reduce the electricity cost and pollution emissions (associated with the energy consumption) of pumps of WDSs. PEPSO includes a user-friendly graphical interface and a customized version of the non-dominated sorting genetic algorithm. A measure that is called “Undesirability Index” (UI) is defined to assist the search for a promising optimization path. The UI also ensures that the final results are desirable and practical. The various features of PEPSO are tested under six scenarios for optimizing the WDS of Monroe City, MI, and Richmond, UK. The test results indicate that in a reasonable amount of time, PEPSO can optimize and provide practical results for both WDSs. View Full-Text
Keywords: optimization; water distribution network; pump schedule; genetic algorithm; energy; pollution emissions optimization; water distribution network; pump schedule; genetic algorithm; energy; pollution emissions
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MDPI and ACS Style

Sadatiyan A., S.M.; Miller, C.J. PEPSO: Reducing Electricity Usage and Associated Pollution Emissions of Water Pumps. Water 2017, 9, 640.

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