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Modeling residential adoption of solar energy in the Arabian Gulf Region

机译:模拟阿拉伯海湾地区居民对太阳能的采用

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We present an agent-based model for residential model adoption of solar photovoltaic (PV) systems in the state of Qatar as a case study for the Arabian Gulf Region. Agents in the model are defined as households. The objective of the model is to evaluate PV adoption across households under diverse regulatory and incentive scenarios determined by home ownership status, the falling cost of PV, the reduction of electricity subsidies, the introduction of a carbon tax, and the diffusion of renewable energy innovation. Our study suggests that Qatar's residential PV adoption is strongly promoted by the falling cost of PV and can be further facilitated through the reduction of electricity subsidies and the extension of the electricity tariff to Qatari households, which are currently exempt. The introduction of a carbon tax can also play a role in accelerating residential PV adoption, if above $8 per metric ton of carbon dioxide equivalent. The ensuing PV adoption rates would help facilitate the national targets of 2% electricity production from solar energy by 2020 and 20% by 2030. (C) 2018 Elsevier Ltd. All rights reserved.
机译:我们为卡塔尔州的居民住宅采用太阳能光伏(PV)系统提供了一个基于代理的模型,以阿拉伯海湾地区为例。该模型中的主体被定义为家庭。该模型的目的是评估在不同的监管和激励情景下,不同家庭对光伏发电的使用情况,这些情景取决于房屋所有权状况,光伏成本下降,电力补贴减少,碳税的征收以及可再生能源创新的传播。 。我们的研究表明,卡塔尔住宅光伏的采用受到光伏成本下降的强烈推动,并且可以通过减少电费补贴和将电价扩大到卡塔尔家庭获得进一步的便利,而目前这是免税的。如果每公吨二氧化碳当量价格超过8美元,那么征收碳税也可以起到促进居民光伏发电的作用。随之而来的光伏采用率将有助于实现以下国家目标:到2020年太阳能发电量占2%,到2030年达到20%。(C)2018年爱思唯尔有限公司。保留所有权利。

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