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Peak shaving and economic performance of nuclear power unit combined with seawater desalination
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Kai LIANG1, Lingkai ZHU1, Han YUE2, Wei ZHENG1, Zhiqiang GONG1, Heng ZHANG2, 3, Ziwei ZHONG1, Panfeng SHANG1, Jiguang HUANG2, 3
Thermal Power Generation | 2026, 55(5) : 120 - 128
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Thermal Power Generation | 2026, 55(5): 120-128
Low-carbon thermal power and nuclear power generation technology
Peak shaving and economic performance of nuclear power unit combined with seawater desalination
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Kai LIANG1, Lingkai ZHU1, Han YUE2, Wei ZHENG1, Zhiqiang GONG1, Heng ZHANG2, 3, Ziwei ZHONG1, Panfeng SHANG1, Jiguang HUANG2, 3
Affiliations
  • 1.State Grid Shandong Electric Power Company Electric Power Science Research Institute, Jinan 250013, China
  • 2.School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
  • 3.Beijing Key Laboratory of Pollutant Monitoring and Control in Thermoelectric Production Process, North China Electric Power University, Beijing 102206, China
Published: 2026-05-25 doi: 10.19666/j.rlfd.202510022
Outline
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The operation of nuclear power combined with seawater desalination can enhance the operational flexibility of nuclear power plants, but its peak shaving performance and economy still need in-depth research. Therefore, taking the AP1000 nuclear power unit combined with the multi-effect distillation seawater desalination system as the research object, a thermodynamic- economic coupling simulation model of the system was established to analyze the peak shaving performance and economy of the system, and a seasonal differentiated operation strategy was proposed. The results show that the maximum peak shaving depth of the nuclear power unit after combined seawater desalination is 878.5 MW. Compared with independently operating nuclear power units, during the non-heating season, the strategy of “prioritizing output and then adjusting seawater desalination” was adopted. The number of operating condition switches increased from 4 to 6 times, forming a “electricity price dominance-dual-energy matching” model. The net income increased from 3.598 million yuan to 7.869 million yuan. During the heating season, the strategy of “prioritizing heating and then adjusting seawater desalination” was adopted. The working condition switching remained unchanged for 8 times, forming a coordinated production mode of “electricity-heat-water”. The net income increased from 3.045 million yuan to 6.835 million yuan, and the income structure was balanced. The operation of nuclear power plants combined with seawater desalination and the implementation of differentiated peak shaving strategies by season can simultaneously enhance the peak shaving capacity and economic benefits of nuclear power plants.

AP1000  /  nuclear power unit  /  heat and power cogeneration  /  seawater desalination  /  peak shaving
Kai LIANG, Lingkai ZHU, Han YUE, Wei ZHENG, Zhiqiang GONG, Heng ZHANG, Ziwei ZHONG, Panfeng SHANG, Jiguang HUANG. Peak shaving and economic performance of nuclear power unit combined with seawater desalination[J]. Thermal Power Generation, 2026 , 55 (5) : 120 -128 . DOI: 10.19666/j.rlfd.202510022
  • Science and Technology Project of State Grid Shandong Electric Power Company(520626230037)
Year 2026 volume 55 Issue 5
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Article Info
doi: 10.19666/j.rlfd.202510022
  • Receive Date:2025-10-14
  • Online Date:2026-08-14
  • Published:2026-05-25
Article Data
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History
  • Received:2025-10-14
  • Revised:2025-10-31
  • Accepted:2025-11-18
Funding
Science and Technology Project of State Grid Shandong Electric Power Company(520626230037)
Affiliations
    1.State Grid Shandong Electric Power Company Electric Power Science Research Institute, Jinan 250013, China
    2.School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
    3.Beijing Key Laboratory of Pollutant Monitoring and Control in Thermoelectric Production Process, North China Electric Power University, Beijing 102206, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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