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Valuing Chinese feed-in tariffs program for solar power generation: A real options analysis

机译:重视中国的太阳能发电上网电价计划:一项实物期权分析

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摘要

Combustion of coal accounts for about 75% of total power generation in China. The global call for CO_2 emissions reduction, exposure to oil risks and their bearing on energy security, require China to properly determine its future energy policies. This study has attempted to quantify the benefits provided by current Chinese feed-in tariff (FIT) policy for solar power generation by using real option pricing approach to estimate the value of solar energy technologies in the face of uncertain fossil fuel prices and learning effects in solar technologies. The optimal solution as calculated renders the government's FIT effort as a sufficient mechanism to make solar an economically competitive alternative in China's energy future. In addition, options values in terms of internalized external costs and variation in the level of FIT are also compared. Simulation results reveal the options value to be significantly greater when external costs are internalized. Nevertheless, it was found that the average current FIT level is non-optimal, and should be increased to between 1.5 RMB/KWh and 1.7 RMB/ KWh to ensure maximum investment incentive with minimal government expenditures. Furthermore, given solar to be an attractive alternative for the future, his study hypothesizes that solar power use in China can potentially reduce CO_2 emissions by approximately 1.3% by 2020 compared to the 2005 level.
机译:煤炭燃烧约占中国总发电量的75%。全球呼吁减少CO_2排放,面临石油风险及其对能源安全的影响,要求中国适当确定其未来的能源政策。这项研究试图通过使用实物期权定价法来估算当前中国上网电价补贴政策对太阳能发电所带来的收益,该方法是在面对不确定的化石燃料价格和学习影响的情况下估算太阳能技术的价值。太阳能技术。计算出的最佳解决方案使政府的FIT努力成为使太阳能成为中国能源未来在经济上具有竞争力的替代方案的充分机制。此外,还比较了内部化的外部成本和FIT水平变化方面的期权价值。仿真结果表明,将内部成本内部化后,期权价值会大大提高。然而,发现目前的平均上网电价水平不是最优的,应提高到1.5元/千瓦时至1.7元/千瓦时之间,以确保以最少的政府支出获得最大的投资激励。此外,鉴于太阳能将成为未来的诱人替代品,他的研究假设,到2020年,与2005年相比,中国使用太阳能可将CO_2排放量减少约1.3%。

著录项

  • 来源
    《Renewable & Sustainable Energy Reviews》 |2013年第12期|474-482|共9页
  • 作者单位

    New Huadu Business School, Minjiang University, Fuzhou 350108, China,Collaborative Innovation Center for Energy Economics and Energy Policy, China Institute for Studies in Energy Policy, Xiamen University, Xiamen, Fujian, 361005, China;

    Collaborative Innovation Center for Energy Economics and Energy Policy, China Institute for Studies in Energy Policy, Xiamen University, Xiamen, Fujian, 361005, China,Department of Economics, University of Liberia, Capitol Hill 1000, Monrovia 10, Liberia;

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

    Renewable energy; Solar PV; Feed-in tariffs; Real option;

    机译:再生能源;太阳能光伏;上网电价;实物期权;
  • 入库时间 2022-08-18 01:23:54

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