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Analysis on configuration optimization and operation of multi-unit coupled electric boilers based on dispatch requirements
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Minghao LI1, Yonggang BAI1, Xiaoyu LU1, Huaiwen ZHANG2, Yanjun ZHANG1, Fudong LIU2, Ke ZHOU
Thermal Power Generation | 2023, 52(2) : 126 - 135
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Thermal Power Generation | 2023, 52(2): 126-135
Application of thermal energy storage technology
Analysis on configuration optimization and operation of multi-unit coupled electric boilers based on dispatch requirements
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Minghao LI1, Yonggang BAI1, Xiaoyu LU1, Huaiwen ZHANG2, Yanjun ZHANG1, Fudong LIU2, Ke ZHOU
Affiliations
  • 1.Xi'an Thermal Power Research Institute Co., Ltd., Xi'an 710054, China
  • 2.North United Electric Power Co., Ltd., Hohhot 010020, China
Published: 2023-02-25 doi: 10.19666/j.rlfd.202211260
Outline
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With the structural upgrading of China's energy industry and the transformation of economic growth mode, clean energy power generation technology has been continuously and rapidly developed. As a high-power electric heating conversion device, electric boiler has become one of the effective technical solutions to enhance the operational flexibility of thermal power units and promote the reliable consumption of new energy power. In this paper, the allocation and accounting principles of electric boiler capacity and heat storage capacity in such projects are proposed. The calculation model of system optimization operation parameters and operation economy evaluation is established based on the principle of maximizing the economic benefits of enterprises, taking into account the factors of grid peak shaving depth dispatching limits. Combined with the actual situation of the multi-unit system of a thermal power plant in Northeast China, the optimal configuration capacity of the electric boiler of the project is 300 MW, and the heat storage capacity is 17 MW·h. At the same time, the optimal operation scheme of the whole plant is proposed. The results show that, under the condition of 30% peak shaving depth limit, the case power plant can add about 139.53 million Yuan in each heating season, and the project investment payback period is about 5 years. In the foreseeable future, the project will have long-term profitability.

cogeneration  /  electric boiler  /  deep peak shaving  /  heat storage
Minghao LI, Yonggang BAI, Xiaoyu LU, Huaiwen ZHANG, Yanjun ZHANG, Fudong LIU, Ke ZHOU. Analysis on configuration optimization and operation of multi-unit coupled electric boilers based on dispatch requirements[J]. Thermal Power Generation, 2023 , 52 (2) : 126 -135 . DOI: 10.19666/j.rlfd.202211260
  • Science and Technology Project of China Huaneng Group Co., Ltd.(HNKJ22-H18)
Year 2023 volume 52 Issue 2
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Article Info
doi: 10.19666/j.rlfd.202211260
  • Receive Date:2022-11-23
  • Online Date:2026-01-23
  • Published:2023-02-25
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  • Received:2022-11-23
Funding
Science and Technology Project of China Huaneng Group Co., Ltd.(HNKJ22-H18)
Affiliations
    1.Xi'an Thermal Power Research Institute Co., Ltd., Xi'an 710054, China
    2.North United Electric Power Co., Ltd., Hohhot 010020, 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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