Comparison and Selection of Solar Radiation Data for Photovoltaic Power Generation Project

被引:3
|
作者
Li Yingzi [1 ]
Han Yexia [2 ]
机构
[1] Beijing Univ Civil Engn & Architecture, Sch Elect & Informat Engn, Beijing, Peoples R China
[2] China IPPR Int Engn Co Ltd, Beijing, Peoples R China
关键词
Photovoltaic; Solar radiation; Power generation; NASA database; Meteonorm database; Measured data;
D O I
10.1007/s42835-019-00110-3
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Based on the measured solar radiation and power generation data of a 5.6 kW PV grid-connected system in Beijing from June of 2012 to December of 2016, the differences between the measured data and the data provided by solar energy databases are analyzed. The results show that the measured data is lower than 80-90% of the data provided by Meteonorm and NASA databases. The actual output of PV system is less than 60-75% of the estimated power generation according to the databases. Considering the errors between the database and the measured value, it is suggested to reduce the radiation data in the selected database by 10-20% during the PV power generation project feasibility research and design stage, and ensure that the estimation of power generation is closer to the actual power generation.
引用
收藏
页码:685 / 692
页数:8
相关论文
共 50 条
  • [1] Comparison and Selection of Solar Radiation Data for Photovoltaic Power Generation Project
    Li Yingzi
    Han Yexia
    Journal of Electrical Engineering & Technology, 2019, 14 : 685 - 692
  • [2] Solar radiation study data gauge: Photovoltaic power-generation potential
    Standing, T.H.
    2001, PennWell Publishing Co. (99):
  • [3] Generation of Solar Radiation Data in Unmeasurable Areas for Photovoltaic Power Station Planning
    Yang, Chenxing
    Xu, Qingshan
    Xu, Xiaohui
    Zeng, Pingliang
    Yuan, Xiaodong
    2014 IEEE PES GENERAL MEETING - CONFERENCE & EXPOSITION, 2014,
  • [4] Solar radiation study data gauge photovoltaic power-generation potential
    Standing, TH
    OIL & GAS JOURNAL, 2001, 99 (26) : 20 - +
  • [5] Prediction of photovoltaic power generation based on lstm considering daylight and solar radiation data
    An Y.-J.
    Lee T.-K.
    Kim K.-H.
    Transactions of the Korean Institute of Electrical Engineers, 2021, 70 (08): : 1096 - 1101
  • [6] Solar radiation estimation for photovoltaic power generation using Geostationary and Low-Earth Orbit Satellite Data
    Tobishima, Ryota
    Urano, Shoichi
    2023 IEEE BELGRADE POWERTECH, 2023,
  • [7] Power generation evaluation of solar photovoltaic systems using radiation frequency distribution
    Yao, Wanxiang
    Yue, Chunyang
    Xu, Ai
    Kong, Xiangru
    Cao, Weixue
    Zheng, Zhimiao
    Yue, Qi
    JOURNAL OF BUILDING ENGINEERING, 2024, 98
  • [8] Estimation of satellite-derived regional photovoltaic power generation using a satellite-estimated solar radiation data
    Ohtake, Hideaki
    Uno, Fumichika
    Oozeki, Takashi
    Yamada, Yoshinori
    Takenaka, Hideaki
    Nakajima, Takashi Y.
    ENERGY SCIENCE & ENGINEERING, 2018, 6 (05): : 570 - 583
  • [9] Solar Shutters based on Photovoltaic Power Generation
    LUO Zhixuan
    International Journal of Plant Engineering and Management, 2020, 25 (04) : 193 - 204
  • [10] Comparison of Solar Radiation Torque and Power Generation of Deployable Solar Panel Configurations on Nanosatellites
    Ibrahim, Syahrim Azhan
    Yamaguchi, Eiki
    AEROSPACE, 2019, 6 (05)