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Optimal timing and capacity choice under the rate-of-return renewable energy support

机译:返回速率可再生能源支持下的最佳时间和能力选择

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This article presents a stylized renewable energy (RE) investment project profitability analysis under a rate-of-return RE support type. We use a dynamic programming approach to value the real options. While the method is widely used in RE policy analysis, the rate-of-return support is presented in this framework for the first time. We formulate a stylized RE project under the rate-of-return regulation in the dynamic programming framework and solve for optimal investment timing and project size.?A stylized renewable energy (RE) investment under rate-of-return RE support is presented in the dynamic programming framework;?The system is solved for optimal capacity choice in the presence of the electricity price uncertainty. We also comment on the optimal investment timing, which turns out to be a now-or-never decision in this case.
机译:本文提出了一种程式化的可再生能源(RE)投资项目盈利能力分析,返回RES支持类型。我们使用动态编程方法来重视真实选项。虽然该方法广泛用于RE策略分析,但第一次在本框架中介绍了返回率支持。我们在返回动态规划框架的返回率规定下制定了一个程式化的RE项目,解决了最佳投资时序和项目规模。在回报率重新支持下的风格化可再生能源(RE)投资动态编程框架;系统被解决,以便在电价不确定性存在下最佳的能力选择。我们还评论了最佳的投资时间,这反过来在这种情况下成为现在或永无止的决定。

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