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Minimizing pump energy in a wastewater processing plant
- Zhang, Zijun, Zeng, Yaohui, Kusiak, Andrew
- Energy 2012 v.47 no.1 pp. 505-514
- algorithms, energy, energy conservation, neural networks, wastewater
- 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.