仇中柱, 倪行睿, 朱群志, 叶勇健, 张涛, 蔡靖雍. 基于分光谱利用的新型塔式热-光伏复合发电系统的发电量预测[J]. 太阳能学报, 2024, 45(9): 428-434. DOI: 10.19912/j.0254-0096.tynxb.2023-0748
引用本文: 仇中柱, 倪行睿, 朱群志, 叶勇健, 张涛, 蔡靖雍. 基于分光谱利用的新型塔式热-光伏复合发电系统的发电量预测[J]. 太阳能学报, 2024, 45(9): 428-434. DOI: 10.19912/j.0254-0096.tynxb.2023-0748
Qiu Zhongzhu, Ni Xingrui, Zhu Qunzhi, Ye Yongjian, Zhang Tao, Cai Jingyong. POWER GENERATION PREDICTION OF NEW TOWER TYPE THERMAL PHOTOVOLTAIC COMPOSITE POWER GENERATION SYSTEM BASED ON SPECTRAL BEAM SPLITTING UTILIZATION[J]. Acta Energiae Solaris Sinica, 2024, 45(9): 428-434. DOI: 10.19912/j.0254-0096.tynxb.2023-0748
Citation: Qiu Zhongzhu, Ni Xingrui, Zhu Qunzhi, Ye Yongjian, Zhang Tao, Cai Jingyong. POWER GENERATION PREDICTION OF NEW TOWER TYPE THERMAL PHOTOVOLTAIC COMPOSITE POWER GENERATION SYSTEM BASED ON SPECTRAL BEAM SPLITTING UTILIZATION[J]. Acta Energiae Solaris Sinica, 2024, 45(9): 428-434. DOI: 10.19912/j.0254-0096.tynxb.2023-0748

基于分光谱利用的新型塔式热-光伏复合发电系统的发电量预测

POWER GENERATION PREDICTION OF NEW TOWER TYPE THERMAL PHOTOVOLTAIC COMPOSITE POWER GENERATION SYSTEM BASED ON SPECTRAL BEAM SPLITTING UTILIZATION

  • 摘要: 提出一种利用分光谱技术的塔式热-光伏复合发电系统,介绍系统的组成和结构。采用MUUEN算法设计镜场排列,在AM1.5D太阳光谱作为入射光时对提出的系统进行光学和热力学分析。采用拉萨典型气象年的太阳辐射数据,预测常规光伏发电、常规光热发电和本系统的全年发电量并进行对比。结果表明,在选定的气候条件下塔式分光谱热-光伏复合系统的综合发电量高于其他两种系统。

     

    Abstract: This article proposes a tower-type thermal-photovoltaic composite power generation system using spectral beam splitting technology, and introduces the composition and structure of the system.The mirror field arrangement was designed using the MUUEN algorithm, and the proposed system was analyzed optically and thermodynamically at the AM1.5D solar spectrum as the incident irradiance flux density. Solar radiation data for a typical meteorological year were used to forecast and compare the full-year power generation of photovoltaic power, solar thermal power and this system.The results show that the combined power production of the towertype sub-spectral thermal-photovoltaic composite system is higher than the other two systems under the selected climatic conditions.

     

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