Analysis of Driving Factors of Photovoltaic Power Generation Efficiency: A Case Study in China

被引:20
作者
Yi, Tao [1 ,2 ]
Tong, Ling [1 ,2 ]
Qiu, Mohan [1 ,2 ]
Liu, Jinpeng [1 ,2 ]
机构
[1] North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
[2] North China Elect Power Univ, Beijing Key Lab New Energy & Low Carbon Dev, Beijing 102206, Peoples R China
来源
ENERGIES | 2019年 / 12卷 / 03期
基金
中国国家自然科学基金;
关键词
photovoltaic power generation; efficiency evaluation; driving factor analysis; policy guidance; SOLAR; PERFORMANCE; OPTIMIZATION; SYSTEMS; IMPACT;
D O I
10.3390/en12030355
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
With the increasing consumption of fossil energy and changes in the ecological environment, meeting the energy demands required for industrial and economic development with clean and efficient power generation is a major challenge of our society. Solar energy is considered to be one of the most renewable and sustainable energy sources, and photovoltaic power generation has become an important research topic. This study combines data envelopment analysis (DEA) with Tobit regression analysis to assess the efficiency of photovoltaic power generation in China and analyze factors affecting efficiency to improve the efficiency of photovoltaic power generation. The results show that there are obvious regional differences in photovoltaic power generation efficiency in China. The phenomenon of focusing on economic development at the expense of the use of solar power generation still exists. The establishment of photovoltaic demonstration projects, the implementation of differential electricity price policies, and the promotion of photovoltaic precision poverty alleviation can alleviate economic pressure and effectively improve the efficiency of photovoltaic power generation.
引用
收藏
页数:15
相关论文
共 32 条
  • [1] Improved parametric empirical determination of module short circuit current for modelling and optimization of solar photovoltaic systems
    Andrews, Rob W.
    Pollard, Andrew
    Pearce, Joshua M.
    [J]. SOLAR ENERGY, 2012, 86 (09) : 2240 - 2254
  • [2] [Anonymous], 2018, WATER SUI, DOI DOI 10.3390/W10070832
  • [3] Analysis of the impact of dust, tilt angle and orientation on performance of PV Plants
    Babatunde, A. A.
    Abbasoglu, S.
    Senol, M.
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 90 : 1017 - 1026
  • [4] Analysis and comparison of different PV array configurations under partial shading conditions
    Bingol, Okan
    Ozkaya, Burcin
    [J]. SOLAR ENERGY, 2018, 160 : 336 - 343
  • [5] On the combined estimation of technical efficiency and its application to agriculture
    Blazejczyk-Majka, Lucyna
    Kala, Radoslaw
    [J]. AGRICULTURAL ECONOMICS-ZEMEDELSKA EKONOMIKA, 2015, 61 (10): : 441 - 449
  • [6] Cha ST, 2004, 2004 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS, P451
  • [7] How Do Chinese Residents Expect of Government Subsidies on Solar Photovoltaic Power Generation?A Case of Wuhan, China
    Ding, Liping
    Zhang, Fan
    Shuai, Jing
    [J]. ENERGIES, 2018, 11 (01):
  • [8] Performance Study of a Novel Integrated Solar Combined Cycle System
    Duan, Liqiang
    Wang, Zhen
    [J]. ENERGIES, 2018, 11 (12)
  • [9] Techno-economic analysis of a solar photovoltaic/thermal (PV/T) concentrator for building application in Sweden using Monte Carlo method
    Gu, Yaxiu
    Zhang, Xingxing
    Myhren, Jonn Are
    Han, Mengjie
    Chen, Xiangjie
    Yuan, Yanping
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2018, 165 : 8 - 24
  • [10] Guo B, 2012, TECH EC, V76, P58, DOI [10.3969/j.issn.1002-980X.2012.12.010, DOI 10.3969/J.ISSN.1002-980X.2012.12.010]