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A portfolio risk analysis on electricity supply planning

机译:电力供应计划的组合风险分析

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Conventional electricity planning selects from a range of alternative technologies based on the least-cost method without assessing cost-related risks. The current approach to determining energy generation portfolios creates a preference for fossil fuel. Consequently, this preference results in increased exposure to recent fluctuations in fossil fuel prices, particularly for countries heavily depend on imported energy. This paper applies portfolio theory in conventional electricity planning with Taiwan as a case study. The model objective is to minimize the "risk-weighted present value of total generation cost". Both the present value of generating cost and risk (variance of the generating cost) are considered. Risk of generating cost is introduced for volatile fuel prices and uncertainty of technological change and capital cost reduction. The impact of risk levels on the portfolio of power generation technologies is also examined to provide some valuable policy suggestions. Study results indicate that replacing fossil fuel with renewable energy helps reduce generating cost risk. However, due to limited renewable development potential in Taiwan, there is an upper bound of 15% on the maximum share of renewable energy in the generating portfolio. In the meantime, reevaluating the current nuclear energy policy for reduced exposure to fossil fuel price fluctuations is worthwhile.
机译:常规电力规划基于成本最低的方法从一系列替代技术中进行选择,而无需评估成本相关的风险。当前确定能源生产组合的方法使人们倾向于使用化石燃料。因此,这种偏好导致人们对化石燃料价格近期波动的承受度增加,特别是对于严重依赖进口能源的国家。本文将投资组合理论应用到常规电力计划中,以台湾为例。该模型的目标是最小化“总发电成本的风险加权现值”。同时考虑发电成本的现值和风险(发电成本的变化)。由于燃料价格波动以及技术变化和资本成本降低的不确定性,引入了产生成本的风险。还研究了风险水平对发电技术产品组合的影响,以提供一些有价值的政策建议。研究结果表明,用可再生能源替代化石燃料有助于降低发电成本风险。但是,由于台湾可再生能源发展潜力有限,可再生能源在发电产品组合中的最大份额上限为15%。同时,重新评估当前的核能政策以减少对化石燃料价格波动的暴露是值得的。

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