Optimal scheduling method integrating priori expert knowledge for water distribution systems based on historical operational information tensor: A new perspective

IF 11.2 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Resources Conservation and Recycling Pub Date : 2025-04-22 DOI:10.1016/j.resconrec.2025.108321

Yifan Xie , Yipeng Wu , Yujun Huang , Ye Jin , Yuxian Li , Linfeng Li , Chengyu He , Bei Zhao , Xiangyi Li , Shuming Liu

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引用次数: 0

Abstract

Operation optimization of Water Distribution Systems (WDSs) in large metropolitan areas is complex and time-consuming. Effective and reliable scheduling of WDSs can enhance the efficiency of urban water supply and ensure WDS resilience. This paper developed a historical discretization tensor-based optimization (HDTO) method from a new perspective, integrating experience of scheduling staff to sift the search solution space and guarantee the reliability and accessibility of scheduling. Results showed that HDTO method can achieve a 90.0 % reduction in running time relative to stochastic heuristic optimization and pruning method, while enhancing energy and hydraulic performance. Furthermore, the newly developed HDTO method demonstrated remarkable efficacy in optimizing the operation of 24-hour extended period operations, potentially contributing to real-time WDS control. Finally, through the application of emergency and managed scenario analyses, the HDTO method demonstrated significant improvements in both the social and economic sustainability of WDS.

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基于历史运行信息张量集成先验专家知识的配水系统最优调度方法：一个新视角

大城市配水系统的运行优化是一个复杂而耗时的问题。有效、可靠的供水系统调度可以提高城市供水效率，保证供水系统的弹性。本文从一个新的角度提出了一种基于历史离散张量的优化方法，结合调度人员的经验筛选搜索解空间，保证调度的可靠性和可达性。结果表明，与随机启发式优化和剪枝方法相比，HDTO方法的运行时间减少了90.0%，同时提高了能量和水力性能。此外，新开发的HDTO方法在优化24小时长周期作业方面表现出显著的效果，可能有助于实时控制WDS。最后，通过应用紧急情况和管理情景分析，HDTO方法证明了WDS在社会和经济可持续性方面的显著改善。

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来源期刊

Resources Conservation and Recycling 环境科学-工程：环境

CiteScore

22.90

自引率

6.10%

发文量

625

审稿时长

23 days

期刊介绍： The journal Resources, Conservation & Recycling welcomes contributions from research, which consider sustainable management and conservation of resources. The journal prioritizes understanding the transformation processes crucial for transitioning toward more sustainable production and consumption systems. It highlights technological, economic, institutional, and policy aspects related to specific resource management practices such as conservation, recycling, and resource substitution, as well as broader strategies like improving resource productivity and restructuring production and consumption patterns. Contributions may address regional, national, or international scales and can range from individual resources or technologies to entire sectors or systems. Authors are encouraged to explore scientific and methodological issues alongside practical, environmental, and economic implications. However, manuscripts focusing solely on laboratory experiments without discussing their broader implications will not be considered for publication in the journal.