Distributed Solar Technoeconomic Agent Characteristics dSTAC

These data files summarize key techno-economic metrics used in the NREL dGen model for modeling adoption of distributed solar by representative residential commercial and industrial entities for each county in the continental United States. As described further below many of the metrics are derived as summaries of outputs from dGen. Specifically each county and sector in these file are summarized as a single agent that is the weighted average of 10 statistically-representative agents weighed by the statistical frequency. The dGen simulation used to derive this dataset was conducted in 2018 using the NREL 2018 Standard Scenario Mid Case assumptions https//www.nrel.gov/docs/fy19osti/71913.pdf.本数据集文件汇总了美国国家可再生能源实验室（National Renewable Energy Laboratory，简称NREL）dGen模型在开展分布式太阳能推广采用模拟时所使用的关键技术经济指标，该模拟覆盖美国本土各县域内的典型住宅、商业及工业主体。如下文进一步详述，多数指标由dGen模型的输出结果汇总得到。具体而言，本文件中的每个县域与行业均被整合为单一智能体（Agent），该智能体为10个具备统计代表性的智能体按统计频率加权后的平均值。用于生成本数据集的dGen模拟实验于2018年开展，采用了NREL 2018标准情景中等情形假设（https://www.nrel.gov/docs/fy19osti/71913.pdf）。