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Prices vs. Quantities: Incentives for Renewable Power Generation - Numerical Analysis for the European Power Market

机译:价格与数量:可再生能源发电的激励 - 欧洲电力市场的数值分析

摘要

This paper outlines the effects of weather uncertainty on investment and operation decisions of electricity producers under a feed-in tariff and renewable quota obligation. Furthermore, this paper tries to quantify the sectoral welfare and investments risks under the different policies. For this purpose, a spatial stochastic equilibrium model is introduced for the European electricity market. The numerical analysis suggests that including the electricity market price in renewable policies (wholesale price + x) reduces the loss of sectoral welfare due to a renewable policy by 11-20 %. Moreover, investors face an only slightly higher risk than under fixed price compensations. However, electricity producers face a substantially larger investment risk when introducing a renewable quota obligation without the option of banking and borrowing of green certi cates. Given the scenario results, an integration of the hourly market price in renewable support mechanisms is mandatory to keep the financial burden to electricity consumers at a minimum. Additionally, following the discussion of a European renewable quota after 2020, the analysis indicates the importance of an appropriate banking and borrowing mechanism in light of stochastic wind and solar generation.
机译:本文概述了在上网电价和可再生配额义务下,天气不确定性对电力生产商投资和运营决策的影响。此外,本文试图量化不同政策下的部门福利和投资风险。为此,针对欧洲电力市场引入了空间随机均衡模型。数值分析表明,将电力市场价格包括在可再生政策中(批发价+ x)可将可再生政策导致的部门福利损失减少11-20%。此外,与固定价格补偿相比,投资者面临的风险仅稍高一些。然而,在引入可再生配额义务时,如果没有银行和绿色证书借贷的选择,电力生产商将面临更大的投资风险。考虑到方案的结果,必须将每小时的市场价格整合到可再生支持机制中,以使电力消费者的财务负担降至最低。此外,在讨论了2020年之后的欧洲可再生能源配额之后,分析表明,鉴于风能和太阳能发电的随机性,适当的银行和借贷机制非常重要。

著录项

  • 作者

    Nagl Stephan;

  • 作者单位
  • 年度 2013
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
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