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Long Term Policy Analysis of Malaysia's Renewable Energy Fund Budget: A System Dynamics Approach

机译:马来西亚可再生能源基金预算的长期政策分析:系统动力学方法

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Malaysia has abundant potentials of renewable energy resources in bio-power, solar PV systems and small-scale hydropower. Feed in Tariff mechanism has been applied since 2011 in Malaysia to expand utilization of renewable energy for electricity generation. In this study a comprehensive system dynamics model is developed to simulate the impacts of assigning different Feed in Tariff rates for different potential renewable resources on the generation mix of Malaysia between 2011 and 2030. Results demonstrate that although the policy may lead to a satisfactory level of target achievement but the government may face an increasing shortage in its RE fund budget starting around 2019 unless it increases its income sources by rising the surcharges on electricity bills or decreases its expenditures by optimizing the amount of FiT payments in different periods. Sensitivity analysis illustrates that the more funding will not lead to a more sustainable generation mix unless it is paid in the right time and in the right direction. Using this model, policymakers can carry out analysis to determine the amount of money that must be collected from the electricity consumers as well as the amount of feed in tariff to be paid for different renewable resources in different periods.
机译:马来西亚在生物电力,太阳能光伏系统和小规模水电中拥有丰富的可再生能源潜力。自2011年以来,在马来西亚自2011年以来饲料,以扩大利用可再生能源的发电。在这项研究中,开发了一种综合的系统动态模型,以模拟分配不同饲料在2011年和2030年间马来西亚的发电组合的不同潜在可再生资源的关税利率的影响。结果表明,虽然政策可能导致令人满意的水平目标成就,但政府可能会在2019年初开始在2019年初开始越来越短缺,除非它通过在不同时期优化拟合支付的股票金额上升或减少其支出来增加其收入来源。敏感性分析说明,除非在正确的时间和正确的方向上,否则更多的资金不会导致更可持续的一代组合。使用此模型,政策制定者可以进行分析,以确定必须从电力消费者中收集的金额以及在不同时期的不同可再生资源支付关税的饲料量。

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