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光热-光伏耦合系统技术-经济性能分析 |
Techno-economic performance analysis of CSP-PV system |
投稿时间:2023-06-28 修订日期:2024-08-12 |
DOI: |
中文关键词: 光热发电 光伏发电 技术-经济性能 多目标优化 |
英文关键词: Concentrated solar power Photovoltaic generation Techno-economic performance Multi-objective opti-mization |
基金项目:云南省西南联合研究生院科技专项(202302AO370018);北京市自然科学基金面上项目(No. 3222031);华能集团总部科技项目(HNKJ21-H31) |
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中文摘要: |
可再生能源开发可减缓全球气候变暖,有助于实现碳中和目标。针对光热-光伏耦合发电系统,构建了简单耦合系统及集成电加热器和电池的复杂耦合系统。聚焦系统的经济性能和供电可靠性,以平准化度电成本和供电负荷失电率为目标,采用多目标优化方法优化各部件的装机容量,分析系统弃光率、全年能量流和部件成本占比等特征。研究表明,在光热-光伏耦合系统中集成电加热器和电池可在相同供电可靠性下实现更优的经济性能和更低的弃光率。当供电负荷失电率为5%时,相比于简单耦合系统,复杂耦合系统的平准化度电成本降低了9.4%,弃光率降低了55.2%。由于复杂耦合系统集成了电加热器和电池,可将过剩的光伏电量存储,能够实现百分百供电可靠,此时系统的平准化度电成本为0.292 $/kWh。 |
英文摘要: |
The deployment of renewable energy can mitigate global climate change and contribute to achieving car-bon neutrality goals. This study focuses on solar power plants combining photovoltaic (PV) and concen-trated solar power (CSP) technologies and investigates the techno-economic performance of both a simple coupling system and a more complex system integrated with an electric heater and battery. Considering the economic performance and power-supply reliability of the systems, multi-objective optimization was adopted to optimize the capacities of each component with the evaluation criteria of the levelized cost of energy (LCOE) and loss of power supply probability (LPSP). The potential energy waste probability (PEWP), annual energy flow, and component cost distribution of the system were also analyzed. The re-sults indicate that the CSP-PV system, when integrated with an electric heater and battery, exhibits superior economic performance and lower PEWP compared to the CSP-PV simple coupling system, given the same LPSP. At an LPSP of 5%, the LCOE of the complex system is reduced by 9.4%, and the PEWP is reduced by 55.2% compared to the CSP-PV simple system. Due to the integration of electric heaters and batteries, excess PV-generated power can be stored, enabling the complex system to achieve complete power supply reliability with an LCOE of 0.292 $/kWh. |
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