Large-scale PV power generation in China: A grid parity and techno-economic analysis
Large-scale PV power generation in China: A grid parity and techno-economic analysis
复制标题
中国大规模光伏发电：平价上网及技术经济分析
DOI：
10.1016/j.energy.2017.05.192
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发表时间：
2017-09
期刊：
影响因子：
9
通讯作者：
Guozhu Mao
中科院分区：
文献类型：
--
作者：
Hongyang Zou;Huibin Du;Marilyn A. Brown;Guozhu Mao
随着化石燃料供应的限制和技术创新对可再生能源成本的有利影响，光伏发电越来越被认为是一种有前途的可再生能源发电方式。在国家新兴产业的支撑下，中国的光伏产业近年来取得了长足的发展，在世界光伏市场上一跃成为举足轻重的地位。新安装的光伏发电能力降低了成本。本文采用技术经济评价的方法，对目前民用光伏发电的市场应用现状进行了分析，包括并网和离网两种情况。主要的创新之一是选择中国五个不同太阳辐射地区的城市作为研究对象，这使得在计算分级能源成本(LCOE)时能够实现地区差异。结果表明，采用3千瓦光伏组件的并网光伏系统可以满足一栋60-90平方米居民楼的电力需求。离网系统的容量为5-10千瓦，这是由当地的太阳辐射决定的。通过纳入学习曲线，我们预测这五个城市的离网光伏系统将在未来几十年达到电网平价。在此基础上，提出了中国光伏市场扩散的政策建议。
With the limiting supply of fossil fuel and the beneficial impact of technological innovation on renewable energy costs, PV power generation is increasingly considered a promising way to generate renewable power. Under the support of the national emerging industry, China's PV industry has experienced a dramatic development over recent years, catapulting into a vital position in the world PV market. The newly installed PV capacity has led to cost reductions. This paper chooses the methodology of techno-economic evaluation to analyze current market application of residential PV power generation, including grid-connected and off-grid systems. One of the main innovations is choosing five Chinese cities in different areas of solar radiation as research objects, which enables regional differentiation in calculating levelized cost of energy (LCOE). The results show that grid-connected PV systems with 3 kW PV modules can meet the electric demand of a 60–90 m2residential building. The capacity of off-grid systems are 5–10 kW, which is determined by local solar radiation. By incorporating a learning curve, we forecast that off-grid PV systems for each of the five cities will reach grid parity over the next several decades. The estimation is used to offer policy recommendations for PV market diffusion in China.
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影响因子：
9
作者：
R. Schleicher-Tappeser
通讯作者：
R. Schleicher-Tappeser
影响因子：
9
作者：
Lei Zhu;Ying Fan
通讯作者：
Lei Zhu;Ying Fan
DOI：
10.1109/pesgm.2012.6344990
发表时间：
2012-07
期刊：
2012 IEEE Power and Energy Society General Meeting
影响因子：
--
作者：
Yi Zhang;Songzhe Zhu;Robert Sparks;Irina Green
通讯作者：
Yi Zhang;Songzhe Zhu;Robert Sparks;Irina Green
影响因子：
9
作者：
K. Shum;C. Watanabe
通讯作者：
K. Shum;C. Watanabe
DOI：
--
发表时间：
2013
期刊：
Chinese Journal of Management Science
影响因子：
--
作者：
Luo Bi
通讯作者：
Luo Bi