Minimizing pump energy in a wastewater processing plant

作者：Zhang Zijun; Zeng Yaohui; Kusiak Andrew^*

来源：Energy, 2012, 47(1): 505-514.

DOI：10.1016/j.energy.2012.08.048

• Mixed-integer nonlinear programming
• Energy saving
• Data mining
• Pump control
• Particle swarm optimization
• Neural networks

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.

• 出版日期2012-11