Optimizing wastewater pumping system with data-driven models and a greedy electromagnetism-like algorithm |
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| Authors: | Yaohui Zeng Zijun Zhang Andrew Kusiak Fan Tang Xiupeng Wei |
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| Institution: | 1.Department of Mechanical and Industrial Engineering, 3131 Seamans Center,The University of Iowa,Iowa City,USA;2.Department of Systems Engineering and Engineering Management,City University of Hong Kong,Kowloon Tong,Hong Kong |
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| Abstract: | Optimizing a pumping system in the wastewater treatment process by improving its operational schedules is presented. The energy consumption and outflow rate of the pumping system are modeled by a data-driven approach. A mixed-integer nonlinear programming (MINLP) model containing data-driven components and pump operational constraints is developed to minimize the energy consumption of the pumping system while maintaining the required pumping workload. A greedy electromagnetism-like (GEM) algorithm is designed to solve the MINLP model for optimized operational schedules and pump speeds. Three computational cases are studied to demonstrate the effectiveness of the proposed data-driven modeling and GEM algorithm. The computational results show that significant energy saving can be obtained. |
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