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What is Influencing Renewable Energy Infrastructure Deployment? A Multi-State Study of U.S. Wind Generation Deployment Efforts

机译:什么影响可再生能源基础设施部署?美国风力发电部署努力的多态研究

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摘要

Recent research has determined what influences the adoption of state renewable energy policy instruments. At present, nearly all of the U.S. states have deployed or have begun to deploy infrastructure that derives energy from renewable resources. This multiple U.S. State study represents an effort to determine the factors that are influencing the wind renewable energy infrastructure deployment efforts in thirty-eight U.S. states that have widely varying wind power potential capacities, different capacities of wind generation infrastructure deployed and varying Renewable Portfolio Standard (RPS) policy goals. This study utilizes the internal determinants and regional diffusion theoretical models of government policy innovation to determine the ability of each model to explain variation in state renewable infrastructure deployment efforts. The fraction of each state’s total deployed wind energy capacity as a function of its total wind potential capacity was used as the dependent variable and state economic factors, geographic and electric system factors and political and ideological factors were used as independent variables representing internal determinants. The effect of regional diffusion was determined by examining the potential wind capacities and actual deployment levels of wind infrastructure in each state’s neighbor states. Preliminary results indicate that the internal determinants model was a better predictor of current state renewable energy deployment efforts than the regional diffusion model. In particular, the density of high-voltage transmission lines (circuit miles/square mile) was a very strong predictor of state deployment success. If this is the case, it may be necessary for states who wish increase their levels of renewable wind energy capacity to place a greater focus on the amount of available transmission infrastructure and factor this into the design of their RPS policy instruments.
机译:最近的研究已经确定了哪些因素影响了国家可再生能源政策工具的采用。目前,几乎所有美国州都已部署或已开始部署可再生资源中产生能源的基础设施。这项针对美国多个州的研究旨在确定影响38个美国州的风力可再生能源基础设施部署工作的因素,这些州的风力发电潜力千差万别,风力发电基础设施的部署能力各异,可再生能源投资组合标准也有所不同( RPS)政策目标。本研究利用政府政策创新的内部决定因素和区域扩散理论模型来确定每种模型解释国家可再生基础设施部署工作变化的能力。每个州的总部署风能容量占其总风能容量的比例用作因变量,州经济因素,地理和电力系统因素以及政治和意识形态因素用作代表内部决定因素的自变量。区域扩散的影响是通过检查每个州的邻国的潜在风力容量和风力基础设施的实际部署水平来确定的。初步结果表明,与区域扩散模型相比,内部决定因素模型可以更好地预测当前状态的可再生能源部署工作。特别是,高压传输线的密度(电路英里/平方英里)是状态部署成功的非常有力的预测指标。在这种情况下,希望增加可再生风能容量水平的州可能需要更加关注可用的输电基础设施的数量,并将其纳入其RPS政策工具的设计中。

著录项

  • 作者

    Helwig Laurence D.;

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  • 年度 2012
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  • 原文格式 PDF
  • 正文语种 English
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