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A novel-practicable method for improving power plant benefit based on CCWS operation optimization

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  • Wang, Huijie
  • Qiu, Baoyun
  • Yan, Tianxu
  • Zhao, Fangling
  • Qi, Guipeng
  • Li, Chen

Abstract

With the change in global electricity production structure, the optimal matching operation between a circulating cooling water system (CCWS) and a thermodynamic system has become a challenge due to frequent peak-shaving in Rankine cycle power plants. This paper advances a method to maximize the period net income of power plants through CCWS operation optimization. First, a calculation method for CCWS transient operation water temperature is developed using deep learning. Then, based on the coupling relationship between CCWS and the thermodynamic system, a two-layer optimization integral model is constructed to solve CCWS optimal operation and cleaning schemes in a forthcoming operation period and evaluate year-round optimal operation effects. The model contains the costs of pump unit operation, water replenishment, pump regulation, and condenser cleaning. After conducting CCWS operation optimization for a 2 × 330 MW power plant, the year-round electricity generation could increase by 4.73–10.71 million kWh, illustrating significant effects. The method is convenient to implement and could realize an electricity generation increase of 27.1 billion kWh and a water-saving of 12.6 billion tons in China, ultimately achieving a net income increase of 12.7 billion yuan. The method effectiveness is also examined for thirteen climate types worldwide.

Suggested Citation

  • Wang, Huijie & Qiu, Baoyun & Yan, Tianxu & Zhao, Fangling & Qi, Guipeng & Li, Chen, 2025. "A novel-practicable method for improving power plant benefit based on CCWS operation optimization," Energy, Elsevier, vol. 316(C).
    • Handle: RePEc:eee:energy:v:316:y:2025:i:c:s0360544225002300
    DOI: 10.1016/j.energy.2025.134588
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