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Analysis of the optimal combination of renewable energies for an enterprise

机译:企业可再生能源的最佳组合分析

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To achieve four goals of energy safety assurance, sustainable development, low-carbon environment and avoiding price volatility of fossil fuels, a new energy policy was announced by the government of Taiwan in November 2011. Also, the Government will actively fulfill the carbon reduction target and electricity stable supply policy under three major principles of reaching international carbon reduction commitments, no limitation of electricity usage and valid electricity price. Consequently, the Government encourages private enterprises to generate electric power of renewable energy and sell back to the public enterprise. In order to support a private enterprise to evaluate the possible generation combination of the renewable energy under the consideration of intermittence of renewable energy, environmental protection and generation cost, given the monthly electricity demand, this study proposes 2-stage analytical model of which at the first stage, a multi-objective model is proposed to optimize the mix of the electricity from power company and the renewable energy generation in order to maximize the total energy generation of renewable energies, while minimizing carbon emission at a minimum cost; and at the second stage, a Markov chain model is developed to determine which combination of renewable energies is most likely to provide more power generations. By substituting the steady-state probability obtained from the second stage, the third goal of generation maximization under the stable power supply can be achieved.
机译:为了实现能源安全保障,可持续发展,低碳环境和避免化石燃料价格波动的四个目标,台湾政府于2011年11月宣布了一项新的能源政策。此外,政府将积极实现减碳目标以及在实现国际碳减排承诺的三大原则下的电力稳定供应政策,不限制用电量和有效电价。因此,政府鼓励私营企业生产可再生能源电力,并卖给公共企业。为了支持民营企业在考虑到可再生能源的间歇性,环境保护和发电成本的情况下,考虑到每月的电力需求,评估其可再生能源的发电组合,本研究提出了两阶段分析模型第一阶段,提出了一个多目标模型,以优化来自电力公司的电力和可再生能源发电的混合,以使可再生能源的总发电量最大化,同时以最小的成本使碳排放量最小化;在第二阶段,开发了马尔可夫链模型来确定哪种可再生能源组合最有可能提供更多的发电量。通过替换从第二阶段获得的稳态概率,可以实现稳定电源下发电最大化的第三个目标。

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