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Drivers and diusion of residential photovoltaics in France

机译:法国住宅光伏发电的驱动因素和困惑

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This paper analyses the diffusion of residential solar panels, and the impact of financial incentives (feed-in tariffs and local subsidies) on this dynamics. We use a unique database provided by Enedis, the main French DSO, giving the quarterly number of connection requests for 33,842 municipalities, from the end of 2008 to mid-2016. Using solar irradiance, panel system costs, and national and local subsidies, we compute an internal rate of return per municipality and per quarter. Due to the high number of zero-installation data points, we use a two-stage ("hurdle") specification. We first model the probability of having at least one installation, and then the (strictly positive) number of installations, the vast majority of which are 3-kW panels. Controlling for individual characteristics of the municipalities, we find that the financial incentives have a positive and significant effect on both the probability and the number of adoptions. Furthermore, we show that the diffusion process exhibits "epidemic" and "stock" effects, which are consistent with the "S"-shaped diffusion curve observed at the national and regional levels. In particular, an additional past installation in a city has the same effect as a one-point increase of the IRR: an increase of the odds of installing at least one solar panel by roughly 10%. This could help promote renewables at a lower cost for example through more information and local funding of PV projects.
机译:本文分析了住宅太阳能电池板的扩散,以及财政激励措施(上网电价和地方补贴)对该动态的影响。我们使用了由法国主要DSO Enedis提供的独特数据库,该数据库提供了2008年底至2016年中的每季度33,842个城市的连接请求数量。使用太阳辐照度,面板系统成本以及国家和地方补贴,我们可以计算每个市政当局和每个季度的内部收益率。由于零安装数据点数量很多,因此我们使用两阶段(“障碍”)规范。我们首先对至少安装一个设备的概率进行建模,然后对安装数量(严格为正)进行建模,其中绝大多数是3 kW面板。通过对市政当局的个人特征进行控制,我们发现财政激励措施对收养的可能性和数目均产生积极而显着的影响。此外,我们表明,扩散过程表现出“流行”和“储备”效应,这与在国家和地区一级观察到的“ S”形扩散曲线一致。尤其是,在城市中额外进行的过去安装与IRR的单点提高具有相同的效果:安装至少一个太阳能电池板的几率增加了大约10%。例如,通过更多信息和光伏项目的地方资助,这可以帮助以较低的成本推广可再生能源。

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