Power generation evaluation of solar photovoltaic systems using radiation frequency distribution

被引:0
|
作者
Yao, Wanxiang [1 ,2 ]
Yue, Chunyang [2 ]
Xu, Ai [3 ]
Kong, Xiangru [4 ]
Cao, Weixue [2 ]
Zheng, Zhimiao [5 ]
Yue, Qi [6 ]
机构
[1] Qingdao Univ Technol, iSMART, Qingdao 266033, Peoples R China
[2] Tianjin Chengjian Univ, Sch Energy & Safety Engn, Tianjin 300384, Peoples R China
[3] Beijing Changfeng Xinlian Engn Management Co Ltd, Beijing 100080, Peoples R China
[4] Univ Kitakyushu, Fac Environm Engn, Kitakyushu 8080135, Japan
[5] Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China
[6] Bejing Wan Xing Bldg Grp Co Ltd, Beijing 102699, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Solar photovoltaic system; RSD method; Radiation frequency distribution; Maximum output power; Photovoltaic power generation efficiency; FEED-IN TARIFFS; POINT TRACKING; OPTIMUM TILT; ENERGY; PERFORMANCE; DUST; PREDICTION; BUILDINGS; ALGORITHM; IMPACTS;
D O I
10.1016/j.jobe.2024.110981
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Solar photovoltaic as a safe and clean technology has been used to solve the problems posed by environmental factors and the energy crisis. However, it is more difficult to measure and calculate solar radiation and its power generation throughout the year without interruption. This study proposes a method to accurately assess the power generation of photovoltaic modules in complex weather conditions. Firstly, the maximum power point under different radiations is analyzed using a solar simulator, and a prediction model for the maximum output power of photovoltaic modules is established. Secondly, based on the output power model, the power generation efficiency calculation equation (dimensionless) of the photovoltaic module is derived, thus the relative power generation efficiency model is established. Then, using the measured data of annual solar radiation, an annual average efficiency model was proposed based on the radiation frequency distribution method (RSD method). Finally, the difference in annual power generation between photovoltaic modules in winter and summer was evaluated. The results show that the power generation in Tianjin is 87.61 kWh and 26.62 kWh in summer and winter, respectively, and the photovoltaic power generation in summer can reach three times of that in winter. The proposed model of annual average power generation of solar photovoltaic systems can accurately assess the annual power generation and power generation efficiency of photovoltaic panels, thus promoting the efficient utilization of solar energy resources.
引用
收藏
页数:15
相关论文
共 50 条
  • [11] Integration Challenges of Photovoltaic Distributed Generation on Power Distribution Systems
    Agueero, Julio Romero
    Steffel, Steve J.
    2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2011,
  • [12] Voltage Control of Distribution Network with Photovoltaic Power Generation Systems
    Tao, Weiqing
    Fang, Cheng
    Lu, Shengqing
    Liu, Qingsong
    Lin, Rui
    2018 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT GREEN BUILDING AND SMART GRID (IGBSG 2018), 2018,
  • [13] Improved Coyote Optimization Algorithm for Optimally Installing Solar Photovoltaic Distribution Generation Units in Radial Distribution Power Systems
    Nguyen, Thang Trung
    Pham, Thai Dinh
    Kien, Le Chi
    Van Dai, Le
    COMPLEXITY, 2020, 2020
  • [14] Reliability Theoretical Frequency Assessment of Generation Systems with Photovoltaic Solar Panels
    Tremyasov, Vladimir
    Bobrov, Aleksey
    Krivenko, Tatiana
    2018 INTERNATIONAL URAL CONFERENCE ON GREEN ENERGY (URALCON), 2018, : 20 - 25
  • [15] Probabilistic Generation Model of Solar Irradiance for Grid Connected Photovoltaic Systems Using Weibull Distribution
    Afzaal, Muhammad Umar
    Sajjad, Intisar Ali
    Awan, Ahmed Bilal
    Paracha, Kashif Nisar
    Khan, Muhammad Faisal Nadeem
    Bhatti, Abdul Rauf
    Zubair, Muhammad
    Rehman, Waqas Ur
    Amin, Salman
    Haroon, Shaikh Saaqib
    Liaqat, Rehan
    Hdidi, Walid
    Tlili, Iskander
    SUSTAINABILITY, 2020, 12 (06)
  • [16] Forecasting of power distribution produced in a photovoltaic power plant based on forecasted distribution of global solar radiation
    Seme, Sebastijan
    Stumberger, Gorazd
    Vorsic, Joze
    ELEKTROTEHNISKI VESTNIK-ELECTROCHEMICAL REVIEW, 2008, 75 (05): : 271 - 276
  • [17] Evaluation Model for Investment in Solar Photovoltaic Power Generation Using Fuzzy Analytic Hierarchy Process
    Kim, BumChoong
    Kim, Juhan
    Kim, Jinsoo
    SUSTAINABILITY, 2019, 11 (10):
  • [19] solaR: Solar Radiation and Photovoltaic Systems with R
    Perpinan Lamigueiro, Oscar
    JOURNAL OF STATISTICAL SOFTWARE, 2012, 50 (09): : 1 - 32
  • [20] Short Survey of Architectures of Photovoltaic Arrays for Solar Power Generation Systems
    Abramovitz, Alexander
    Shmilovitz, Doron
    ENERGIES, 2021, 14 (16)