Cooling water optimal scheduling for cooling chain system in nuclear power plant

Yingfei Ma; Zhao Xu; Mengfan Cao; Zaiyue Yang

doi:10.1117/12.3024303

13 May 2024 Cooling water optimal scheduling for cooling chain system in nuclear power plant

Yingfei Ma, Zhao Xu, Mengfan Cao, Zaiyue Yang

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131593T (2024) https://doi.org/10.1117/12.3024303
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

The cooling chain system in nuclear power plant is designed to efficiently export residual heat and discharge sensible heat. However, its current operation primarily focuses on meeting the peak cooling demand, without comprehensively examining the effects of real-time changes in cooling demands, seawater temperature, and ambient temperature on the system’s performance. In this paper, we analyze the operation optimization of cooling chain system in different scenarios and consider coupling characteristics between subsystems in cooling chain system. We propose a Nonlinear Programming (NLP) model for the scheduling problem and employ the differential evolution algorithm to solve it. Numerical simulations reveal that the proposed method effectively reduces the energy consumption and ensure the system safety.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yingfei Ma, Zhao Xu, Mengfan Cao, and Zaiyue Yang "Cooling water optimal scheduling for cooling chain system in nuclear power plant", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131593T (13 May 2024); https://doi.org/10.1117/12.3024303

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