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首页> 外文期刊>Renewable energy >Measurement and key influencing factors of the economic benefits for China's photovoltaic power generation: A LCOE-based hybrid model
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Measurement and key influencing factors of the economic benefits for China's photovoltaic power generation: A LCOE-based hybrid model

机译：中国光伏发电经济效益的测量与关键影响因素：基于LCOE的混合模型

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摘要

2020 may be redefining China's photovoltaic power generation (PPG) development. This research is an attempt to extract the key influencing factors and analyze the main driving forces to improve the economic benefits of China's PPG and thus a lower-cost access to the grid as soon as possible. In this research, the relationship analysis model of PPG economic benefits based on decision lab analysis method (DEMATEL) and interpretative structural model (ISM) is constructed, and thereby accumulated research and development (R&D) funds and accumulated installed capacity are extracted from the set as the key factors. Then, the levelized cost of energy (LCOE) model based on the two-factor learning curve is established, and a measurement and calculation on the basis of the assumption of the East China Power Grid is conducted. Recommendations are offered on the grounds of the comparisons in the development status of PPG economic benefits between different regions of China. Finally, through the sensitivity analysis of key influencing factors with LCOE as a variable, it can be found that a 5% more investment in vital influencing factors could produce the average decrease of about 0.0184 yuan/kWh in LCOE. (C) 2021 Elsevier Ltd. All rights reserved.
机译：2020年可能重新定义中国的光伏发电（PPG）开发。该研究试图提取关键影响因素，并分析主要驱动力，以提高中国PPG的经济效益，从而尽快对该电网进行较低。在本研究中，构建了基于决策实验室分析方法（DEMATEL）和解释性结构模型（ISM）的PPG经济效益的关系分析模型，从而累积了研究和开发（研发）资金和累计装机容量从集合中提取作为关键因素。然后，建立了基于双因素学习曲线的能量（LCoE）模型的级别化成本，并进行了基于华东电网的假设的测量和计算。基于中国不同地区PPG经济效益的发展状况的比较，提出了建议。最后，通过对LCOE作为变量的关键影响因素的敏感性分析，可以发现在LCOE中的重要影响因素的投资5％的投资可以产生约0.0184元/千瓦时的平均降低。 （c）2021 elestvier有限公司保留所有权利。

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  • 来源
    《Renewable energy》 |2021年第5期|935-952|共18页
  • 作者

    Wang Yongli; Gao Mingchen; Wang Jingyan; Wang Shuo; Liu Yang; Zhu Jinrong; Tan Zhongfu;

  • 作者单位

    State Key Lab Alternate Elect Power Syst Renewabl Beijing 102206 Peoples R China|North China Elect Power Univ Sch Econ & Management Beijing 102206 Peoples R China;

    State Key Lab Alternate Elect Power Syst Renewabl Beijing 102206 Peoples R China|North China Elect Power Univ Sch Econ & Management Beijing 102206 Peoples R China;

    State Key Lab Alternate Elect Power Syst Renewabl Beijing 102206 Peoples R China|North China Elect Power Univ Sch Econ & Management Beijing 102206 Peoples R China;

    State Key Lab Alternate Elect Power Syst Renewabl Beijing 102206 Peoples R China|North China Elect Power Univ Sch Econ & Management Beijing 102206 Peoples R China;

    North China Elect Power Univ Sch Econ & Management Beijing 102206 Peoples R China;

    State Key Lab Alternate Elect Power Syst Renewabl Beijing 102206 Peoples R China|North China Elect Power Univ Sch Econ & Management Beijing 102206 Peoples R China;

    State Key Lab Alternate Elect Power Syst Renewabl Beijing 102206 Peoples R China|North China Elect Power Univ Sch Econ & Management Beijing 102206 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Photovoltaic power generation; Economic benefits; DEMATEL-ISM; LCOE; Learning curve; Sensitivity analysis;

    机译：光伏发电;经济效益;Dematel-ISM;LCoE;学习曲线;敏感性分析;
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