Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.2172/1215283 |
报告编号 | NREL/TP--6A20-64297 |
来源ID | OSTI ID: 1215283 |
Predicting the Response of Electricity Load to Climate Change | |
Sullivan, Patrick; Colman, Jesse; Kalendra, Eric | |
2015-07-28 | |
出版年 | 2015 |
页数 | 21 |
语种 | 英语 |
国家 | 美国 |
领域 | 地球科学 |
英文摘要 | Our purpose is to develop a methodology to quantify the impact of climate change on electric loads in the United States. We perform simple linear regression, assisted by geospatial smoothing, on paired temperature and load time-series to estimate the heating- and coolinginduced sensitivity to temperature across 300 transmission zones and 16 seasonal and diurnal time periods. The estimated load sensitivities can be coupled with climate scenarios to quantify the potential impact of climate change on load, with a primary application being long-term electricity scenarios. The method allows regional and seasonal differences in climate and load response to be reflected in the electricity scenarios. While the immediate product of this analysis was designed to mesh with the spatial and temporal resolution of a specific electricity model to enable climate change scenarios and analysis with that model, we also propose that the process could be applied for other models and purposes. |
英文关键词 | Electricity Load Climate Change Temperature ReEDS |
URL | 查看原文 |
来源平台 | US Department of Energy (DOE) |
引用统计 | |
文献类型 | 科技报告 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/7003 |
专题 | 地球科学 |
推荐引用方式 GB/T 7714 | Sullivan, Patrick,Colman, Jesse,Kalendra, Eric. Predicting the Response of Electricity Load to Climate Change,2015. |
条目包含的文件 | 条目无相关文件。 |
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