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A predictive fuzzy logic and rule-based control approach for practical real-time operation of urban stormwater storage system

文献类型：期刊论文

作者Sun, Lanxin3,4; Xia, Jun2,4; She, Dunxian3,4; Ding, Wenlu3,4; Jiang, Jialiang1; Liu, Biao1; Zhao, Fang1
刊名WATER RESEARCH
出版日期2024-11-15
卷号266页码:14
关键词Predictive real-time control Urban stormwater Fuzzy logic Target flow Rainfall forecast
ISSN号0043-1354
DOI10.1016/j.watres.2024.122437
产权排序3
英文摘要Predictive real-time control (RTC) strategies are usually more effective than reactive strategies for the intelligent management of urban stormwater storage systems. However, it remains a challenge to ensure the practicality of RTC strategies that use accessible, non-idealized predictive information while improving their efficiency for successive rainfall events instead of specific phases. This study developed a predictive fuzzy logic and rule-based control (PFL-RBC) approach to address the continuous control of individual storage systems. This approach incorporates total rainfall depth forecast information with an intra-storm fuzzy logic system to optimize peak flow control and several rule-based strategies for pre-storm water detention, reuse, and release control. Computational experiments were conducted using a storage tank case study to test the proposed approach under various rainfall conditions and storage sizes. The results showed that PFL-RBC outperformed static rule-based control in infrequent design storms and realistic continuous rainfall events, reducing flood peaks and volumes by 55 %similar to 87 % and 7 %similar to 20 %, respectively, and significantly increasing water detention time and reuse volume. Meanwhile, PFL-RBC required less predictive information to achieve a 6 %similar to 15 % advantage in peak flow control compared to optimized model predictive control. More importantly, PFL-RBC was reliable in the face of input uncertainty, with <25 % performance loss for water quantity control when the realistic forecast error ranged from -50 % to +50 %. These findings suggest that the proposed approach has great potential to enhance the efficiency and practicality of stormwater storage operations.
WOS关键词DETENTION BASINS ; OPTIMIZATION ; PERFORMANCE ; GREEN
资助项目Ministry of Water Resources of the People's Republic of China[SKS-2022014] ; National Natural Science Foundation of China[41890823] ; WISDRI City Construction Engineering & Research Incorporation Ltd[2242B05R01]
WOS研究方向Engineering ; Environmental Sciences & Ecology ; Water Resources
语种英语
WOS记录号WOS:001319043000001
出版者PERGAMON-ELSEVIER SCIENCE LTD
资助机构Ministry of Water Resources of the People's Republic of China ; National Natural Science Foundation of China ; WISDRI City Construction Engineering & Research Incorporation Ltd
源URL[http://ir.igsnrr.ac.cn/handle/311030/208342]  
专题陆地水循环及地表过程院重点实验室_外文论文
通讯作者Xia, Jun; She, Dunxian
作者单位1.WISDRI City Construct Engn & Res Inc Ltd, Wuhan 430062, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
3.Wuhan Univ, Hubei Key Lab Water Syst Sci Sponge City Construct, Wuhan 430072, Peoples R China
4.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn Sc, Wuhan 430072, Peoples R China
推荐引用方式
GB/T 7714		 Sun, Lanxin,Xia, Jun,She, Dunxian,et al. A predictive fuzzy logic and rule-based control approach for practical real-time operation of urban stormwater storage system[J]. WATER RESEARCH,2024,266:14.
APA Sun, Lanxin.,Xia, Jun.,She, Dunxian.,Ding, Wenlu.,Jiang, Jialiang.,...&Zhao, Fang.(2024).A predictive fuzzy logic and rule-based control approach for practical real-time operation of urban stormwater storage system.WATER RESEARCH,266,14.
MLA Sun, Lanxin,et al."A predictive fuzzy logic and rule-based control approach for practical real-time operation of urban stormwater storage system".WATER RESEARCH 266(2024):14.

入库方式： OAI收割

来源：地理科学与资源研究所

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