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Cost-effective policies for reaching India's 2022 renewable targets

机译:具有成本效益的政策以实现印度的2022年可再生能源目标

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India has ambitious renewable energy targets by 2022:100 GW of solar and 60 GW of wind. Both of these technologies are perceived to be more costly than conventional, fossil-fuel, power; and, therefore, require policy support. Using representative, project-level cash flow models, we examine two related questions: First, what would be the cost of policy support under existing federal policies; and, second, what would be the most cost-effective federal policy? We answer these questions by first forecasting the unsubsidized levelized cost of electricity for wind, solar, and the marginal fossil fuel; and then examining the cost of support under existing as well as proposed debt-related policies. We find that wind energy is already competitive with the marginal fossil fuel and, therefore, does not require any policy support. We also find that solar energy will become competitive by 2019; and prior to that the most cost-effective federal policy is provision of reduced-cost long-term debt, which can significantly reduce (by more than 90%) the total cost of support compared to accelerated depreciation, the most cost-effective existing federal policy. (C) 2016 Elsevier Ltd. All rights reserved.
机译:到2022年,印度制定了雄心勃勃的可再生能源目标:100吉瓦太阳能和60吉瓦风能。人们认为这两种技术都比传统的化石燃料发电昂贵。因此需要政策支持。使用代表性的项目级现金流模型,我们研究了两个相关的问题:首先,根据现行联邦政策,政策支持的成本是多少?其次,什么是最具成本效益的联邦政策?我们首先通过预测风,太阳能和边际化石燃料的无补贴平准化成本来回答这些问题。然后检查现有政策以及与债务相关的拟议政策下的支持成本。我们发现风能已经与边际化石燃料竞争,因此不需要任何政策支持。我们还发现,太阳能将在2019年变得更具竞争力。并且在此之前,最具成本效益的联邦政策是提供降低成本的长期债务,与加速折旧相比,这是目前成本效益最高的现行联邦政府,可以大大减少(减少90%以上)支持的总成本政策。 (C)2016 Elsevier Ltd.保留所有权利。

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