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Large-scale PV power generation in China: A grid parity and techno-economic analysis

机译:中国大规模光伏发电:电网平价和技术经济分析

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摘要

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 m(2) residential 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. (C) 2017 Elsevier Ltd. All rights reserved.
机译:由于化石燃料的供应有限以及技术创新对可再生能源成本的有利影响,越来越多的人将光伏发电视为产生可再生能源的有前途的方法。在国家新兴产业的支持下,近年来中国的光伏产业取得了突飞猛进的发展,在世界光伏市场上占有举足轻重的地位。新安装的光伏发电能力“导致成本降低。本文选择技术经济评估的方法来分析住宅光伏发电的当前市场应用,包括并网和离网系统。主要创新之一是选择作为研究对象的五个中国城市分别位于太阳辐射的不同区域,这使区域差异化在计算平均能源成本(LCOE)时得到的结果表明,具有3 kW光伏组件的并网光伏系统可以满足60- 90 m(2)住宅建筑,离网系统的容量为5-10 kW,这取决于当地的太阳辐射,结合学习曲线,我们预测五个城市中的每一个的离网光伏系统将达到(c)2017 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Energy》 |2017年第1期|256-268|共13页
  • 作者单位

    Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China;

    Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China|Chinese Acad Sci, Inst Policy & Management, Ctr Energy & Environm Policy Res, Beijing 100190, Peoples R China|Georgia Inst Technol, Sch Publ Policy, Atlanta, GA 30332 USA;

    Georgia Inst Technol, Sch Publ Policy, Atlanta, GA 30332 USA;

    Tianjin Univ, Sch Environm Sci & Engn, Tianjin Key Lab Indoor Air Environm Qual Control, Tianjin 300072, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    PV power generation; Techno-economic evaluation; Grid parity; Learning curve;

    机译:光伏发电;技术经济评估;电网平价;学习曲线;

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