光伏组件在非标准测试条件下的能量分布

doi:10.19912/j.0254-0096.tynxb.2020-0058

太阳能学报 ›› 2022, Vol. 43 ›› Issue (2): 169-175.DOI: 10.19912/j.0254-0096.tynxb.2020-0058

光伏组件在非标准测试条件下的能量分布

马涛, 申璐

上海交通大学机械与动力工程学院太阳能发电及制冷教育部工程研究中心,上海 200240

收稿日期:2020-01-16 出版日期:2022-02-28 发布日期:2022-08-28
通讯作者: 马涛（1987—）,男,博士、副教授,主要从事太阳电池电热管理和新型光伏器件开发等方面的研究。tao.ma@sjtu.edu.cn
基金资助:
国家自然科学基金（51976124）; 国家重点研发计划（2019YFE0104900）

ANALYSIS OF ENERGY DISTRIBUTION OF PHOTOVOLTAIC MODULE UNDER NON-STANDARD TEST CONDITIONS

Ma Tao, Shen Lu

School of Mechanical Engineering, Shanghai Jiao Tong University, Engineering Research Centre of Solar Energy and Refrigeration of MOE, Shanghai 200240, China

Received:2020-01-16 Online:2022-02-28 Published:2022-08-28

摘要/Abstract

摘要： 该研究基于非标准测试条件,结合五参数电学模型、热阻模型和损失模型,提出一种评估光伏组件能量分布的耦合模型。通过模拟数据和实验数据的对比,验证该模型在模拟光伏组件发电量和太阳电池温度方面的准确性,并研究非标准测试条件下光伏组件的运行状态和能量分布情况。结果表明,在某个晴天下,对于一个实际运行的光伏组件,21.9%的入射太阳能由于太阳电池本身或连接处的光学反射而耗散在周围环境中,只有14.3%的太阳能转换为电能实现有效输出,剩余63.8%的能量则被转换成热源。在这些热源中,超过一半是来自光谱失配损失,即热化损失和亚带隙损失。

关键词: 光伏组件, 能量分布, 热管理, 能量损失机制, 综合性能

Abstract: Electrical-thermal performance and power loss analysis of PV module are two hot issues in the field of PV research. However, the complex photoelectric conversion mechanism and the variable operating conditions pose great challenges. This paper develops a coupled energy distribution model for PV modules under non-standard test condition, integrating the five-parameter electrical mode, heat resistance model and loss model. The coupled model is verified by comparing simulated and measured electrical-thermal performance. Operating performance and energy distribution of the PV module under non-standard test condition is also discussed in detail. The results show that on a typical day, 21.9% of the incident solar energy is reflected, 14.3% is converted into electricity, and the rest（63.8%） is dissipated as the heat. More than half of these heat losses come from spectral mismatch losses, including sub-bandgap and thermalization loss.

Key words: photovoltaic modules, energy distribution, thermal management, energy loss mechanism, comprehensive performance

中图分类号:

TK511

马涛, 申璐. 光伏组件在非标准测试条件下的能量分布[J]. 太阳能学报, 2022, 43(2): 169-175.

Ma Tao, Shen Lu. ANALYSIS OF ENERGY DISTRIBUTION OF PHOTOVOLTAIC MODULE UNDER NON-STANDARD TEST CONDITIONS[J]. Acta Energiae Solaris Sinica, 2022, 43(2): 169-175.

参考文献

[1] MA T, YANG H X, LU L.Development of a model to simulate the performance characteristics of crystalline silicon photovoltaic modules/strings/arrays[J]. Solar energy, 2014, 100: 31-41.
[2] BLAIR N, MEHOS M, CHRISTENSEN C, et al.Sensitivity of concentrating solar power trough performance, cost, and financing with the solar advisor model[C]//Presented at SOLAR 2008-American Solar Energy Society (ASES), San Diego, California, USA, 2008.
[3] MAKRIDES G, ZINSSER B, SCHUBERT M, et al.Energy yield prediction errors and uncertainties of different photovoltaic models[J]. Progress in photovoltaics research and applications, 2013, 21(4): 500-516.
[4] SIDDIQUI M U, ABIDO M.Parameter estimation for five- and seven-parameter photovoltaic electrical models using evolutionary algorithms[J]. Applied soft computing, 2013, 13(12): 4608-4621.
[5] TOWNSEND T U.A method for estimating the long-term performance of direct-coupled photovoltaic systems[D]. University of Wisconsin-Madison, 1989.
[6] KING D L, KRATOCHVIL J A, BOYSON W E.Photovoltaic array performance mode[R]. Albuquerque, New Mexico: Sandia National Laboratories, 2004.
[7] VOGT M R, HOLST H, WINTER M, et al.Numerical modeling of c-Si PV modules by coupling the semiconductor with the thermal conduction, convection and radiation equations[J]. Energy procedia, 2015, 77: 215-224.
[8] TINA G M, SCROFANI S.Electrical and thermal model for PV module temperature evaluation[C]//The 14th IEEE Mediterranean Electrotechnical Conference, Ajaccio, France, 2008.
[9] SHANG A X, LI X F.Photovoltaic devices: opto-electro-thermal physics and modeling[J]. Advanced materials, 2017, 29(8): 1603492.
[10] 魏世超. 电热冷联产光伏/辐射板的性能研究[D]. 天津:天津大学, 2015.
WEI S C.Performance study on an electricity-heating-cooling cogeneration photovoltaic radiant panel[D]. Tianjin: Tianjin University, 2015.
[11] ZHANG C, CAO G Y, WU S L, et al.Thermodynamic loss mechanisms and strategies for efficient hot-electron photoconversion[J]. Nano energy, 2019, 55: 164-172.
[12] NELSON C A, MONAHAN N R, ZHU X Y.Exceeding the Shockley-Queisser limit in solar energy conversion[J]. Energy & environmental science, 2013, 6(12): 3508-3519.
[13] HIRST L C, EKINS-DAUKES N J. Fundamental losses in solar cells[J]. Progress in photovoltaics research and applications, 2011, 19(3): 286-293.
[14] WATMUFF J H, CHARTERS W W W S, PROCTOR D. Solar and wind induced external coefficients-Solar collectors[J]. Cooperation Mediterraneenne pour ÍEnergie Solaire, 1977, 1: 56.
[15] INCROPERA F P, DEWITT D P.Fundamentals of heat and mass transfer[M]. 3rd edition. New York: Wiley,1990.
[16] DUPRÉ O, VAILLON R, GREEN M A.A full thermal model for photovoltaic devices[J]. Solar energy, 2016, 140: 73-82.
[17] WÜRFEL P. Physics of solar cells: from principles to new concepts[M]. Wiley, 2005.
[18] KOSTEN E D, ATWATER H A.Limiting acceptance angle to maximize efficiency in solar cells[J]. Proceedings of SPIE-The International Society for Optical Engineering, 2011, 8124(38): 103-112.
[19] GREEN M A.Radiative efficiency of state-of-the-art photovoltaic cells[J]. Progress in Photovoltaics: research and applications, 2012, 20(4): 472-476.
[20] NELSON J.太阳能电池物理[M]. 高扬, 译. 上海: 上海交通大学出版社, 2011.
NELSON J.The physics of solar cells[M]. Translation by Gao Yang. Shanghai: Shanghai Jiaotong University Press, 2011.
[21] HAEDRICH I, EITNER U, WIESE M, et al.Unified methodology for determining CTM ratios: systematic prediction of module power[J]. Solar energy materials and solar cells, 2014, 131: 14-23.

光伏组件在非标准测试条件下的能量分布

ANALYSIS OF ENERGY DISTRIBUTION OF PHOTOVOLTAIC MODULE UNDER NON-STANDARD TEST CONDITIONS

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