Digital Twin-Based Pump Station Dynamic Scheduling for Energy-Saving Optimization in Water Supply System

Sheng-Wen Zhou, Shun-Sheng Guo, Wen-Xiang Xu (), Bai-Gang Du, Jun-Yong Liang, Lei Wang and Yi-Bing Li
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Sheng-Wen Zhou: Wuhan University of Technology
Shun-Sheng Guo: Wuhan University of Technology
Wen-Xiang Xu: Hubei University of Arts and Science
Bai-Gang Du: Wuhan University of Technology
Jun-Yong Liang: Sichuan University of Science and Engineering
Lei Wang: Wuhan University of Technology
Yi-Bing Li: Wuhan University of Technology

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2024, vol. 38, issue 8, No 7, 2773-2789

Abstract: Abstract In urban water supply systems, pump stations are the hubs for making the complete systems operate regularly as well as the main energy-consuming units. In order to address the current problems of water supply systems, such as high energy consumption and low efficiency of the pump station operation, and poor response and adaptability to disturbance events, a digital twin (DT)-based full-process dynamic pump station scheduling method for energy-saving optimization in water treatment plants was proposed in this study. To be specific, the DT technology was introduced to predict the availability status of the pump unit in advance, trigger the rescheduling process in time, and achieve energy conservation and consumption reduction, so as to provide technical and methodological support for unattended pump stations. The results of experiments revealed that an average energy-saving rate of 9.78% could be achieved by using the proposed method on the premise of ensuring the full-process dynamic water balance. In addition, the method could maintain high efficiency during the operation of the pumps, and guarantee the safety and stability of the pump stations.

Keywords: Water supply system; Pump station; Digital twin; Dynamic scheduling; Energy saving and consumption reduction (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11269-024-03791-2

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