Minimizing pump energy in a wastewater processing plant

Zijun Zhang, Yaohui Zeng and Andrew Kusiak

Energy, 2012, vol. 47, issue 1, 505-514

Abstract: This paper discusses energy savings in wastewater processing plant pump operations and proposes a pump system scheduling model to generate operational schedules to reduce energy consumption. A neural network algorithm is utilized to model pump energy consumption and fluid flow rate after pumping. The scheduling model is a mixed-integer nonlinear programming problem (MINLP). As solving a data-driven MINLP is challenging, a migrated particle swarm optimization algorithm is proposed. The modeling and optimization results show that the performance of the pump system can be significantly improved based on the computed schedules.

Keywords: Mixed-integer nonlinear programming; Energy saving; Data mining; Pump control; Particle swarm optimization; Neural networks (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (17)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:47:y:2012:i:1:p:505-514

DOI: 10.1016/j.energy.2012.08.048

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