气候变化领域集成服务门户(CCPortal): Genetic optimization toward operation of water intake-supply pump stations system

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DOI	10.1016/j.jclepro.2020.123573
	Genetic optimization toward operation of water intake-supply pump stations system
	Chen W.; Tao T.; Zhou A.; Zhang L.; Liao L.; Wu X.; Yang K.; Li C.; Zhang T.C.; Li Z.
发表日期	2021
ISSN	9596526
卷号	279
英文摘要	The water intake and water supply pump stations consume a large amount of energy every year, and their energy efficiency improvement has a significant impact on the operations of the water industry. In this study, a general model for simplifying a simulated two-stage system (i.e., water intake and water supply pumping stations) was established. Optimization strategies were developed based on a dynamic-level-feedback-control approach. Non-dominated sorted genetic algorithm-II (NSGA-II) was used to solve the multi-objective optimization problem. Both cost-driven and energy-driven optimizations were proposed from the perspective of reliability, economy, and durability of pumping station operation. Results show that, compared to the extant strategy currently used, the cost- and energy-driven optimization strategies developed in this study can reduce operating energy costs of the system by 7.0% and 6.2%, and have satisfactory stability under the condition of uncertain water demand. Cost-driven optimization improves the power demand response of the two-stage system by increasing the load transfer in peak periods. Energy-driven optimization reduces carbon dioxide emissions by reducing the total operational energy consumption of the system. © 2020 Elsevier Ltd
英文关键词	Energy efficiency; Load transfer; Modeling; Optimization; Water intake-supply pump stations
scopus关键词	Carbon dioxide; Energy efficiency; Energy utilization; Global warming; Inlet flow; Multiobjective optimization; Pumping plants; Pumps; Water supply; Carbon dioxide emissions; Energy efficiency improvements; Genetic optimization; Multi-objective optimization problem; Optimization strategy; Pumping station operation; Water supply pump station; Water-supply pumping stations; Genetic algorithms
来源期刊	Journal of Cleaner Production
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/177271
作者单位	School of Environmental Science & Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China; School of Computer Science & Technology, Huazhong University of Science and Technology, Wuhan, 430074, China; Department of Civil and Environmental Engineering, University of Nebraska-Lincoln, Omaha, NE 68182, United States; College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, 443002, China
推荐引用方式 GB/T 7714	Chen W.,Tao T.,Zhou A.,et al. Genetic optimization toward operation of water intake-supply pump stations system[J],2021,279.
APA	Chen W..,Tao T..,Zhou A..,Zhang L..,Liao L..,...&Li Z..(2021).Genetic optimization toward operation of water intake-supply pump stations system.Journal of Cleaner Production,279.
MLA	Chen W.,et al."Genetic optimization toward operation of water intake-supply pump stations system".Journal of Cleaner Production 279(2021).