ENERGY CONSUMPTION OPTIMIZATION OF SECONDARY PUMPING STATION BASED ON LOW-LEVEL WATER TANK SCHEDULING

CAO Jinyu; XIN Kunlun; ZHOU Lidian; GAO Yufei; ZHANG Xue; JIANG Fuchun; CHEN Wei

doi:10.13205/j.hjgc.202306023

Volume 41 Issue 6

Jun. 2023

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2023 > 41(6): 174-180

CAO Jinyu, XIN Kunlun, ZHOU Lidian, GAO Yufei, ZHANG Xue, JIANG Fuchun, CHEN Wei. ENERGY CONSUMPTION OPTIMIZATION OF SECONDARY PUMPING STATION BASED ON LOW-LEVEL WATER TANK SCHEDULING[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(6): 174-180. doi: 10.13205/j.hjgc.202306023

Citation:

CAO Jinyu, XIN Kunlun, ZHOU Lidian, GAO Yufei, ZHANG Xue, JIANG Fuchun, CHEN Wei. ENERGY CONSUMPTION OPTIMIZATION OF SECONDARY PUMPING STATION BASED ON LOW-LEVEL WATER TANK SCHEDULING[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(6): 174-180. doi: 10.13205/j.hjgc.202306023

Citation:

CAO Jinyu, XIN Kunlun, ZHOU Lidian, GAO Yufei, ZHANG Xue, JIANG Fuchun, CHEN Wei. ENERGY CONSUMPTION OPTIMIZATION OF SECONDARY PUMPING STATION BASED ON LOW-LEVEL WATER TANK SCHEDULING[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(6): 174-180. doi: 10.13205/j.hjgc.202306023

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ENERGY CONSUMPTION OPTIMIZATION OF SECONDARY PUMPING STATION BASED ON LOW-LEVEL WATER TANK SCHEDULING

doi: 10.13205/j.hjgc.202306023

1. College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China;
2. Suzhou Water Conservancy Co., Ltd., Suzhou 215000, China;
3. Ningbo Water Meter (Group) Co., Ltd., Ningbo 315032, China

Received Date: 2022-03-05
Available Online: 2023-09-02

Abstract

Abstract

Aiming to reduce the energy consumption of the secondary pumping station, this study made full use of the regulation and storage function of the low-level water tank in the secondary water supply system, and built an optimal scheduling model for the water supply pipe network. The model took a step-by-step optimization strategy, and accomplished the optimal scheduling of the low-level water tank and the secondary pumping station in turn. Firstly, a quadratic programming model was established to obtain the control command of the low-level water tank inlet valve and the ideal water supply flow of the pipe network. Then, taking the ideal water supply flow and pumping energy consumption as the optimization goals, along with feedback adjustment at the same time, the optimal scheduling model of the secondary pumping station based on the NSGA2 algorithm was constructed. The model was applied to the water supply pipe network in GS District of SZ City, and the results showed that the linkage dispatch between the low-level water tank and the secondary pump station could reduce the energy consumption of water supply by about 7.7%, compared with the simple regulation of the water pump. This model provides a theoretical reference for exploring the optimal scheduling of the whole water supply network system.
- low-level water tank,
- secondary pumping station,
- NSGA2,
- optimal scheduling

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References(13)

References

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