GSTDTAP  > 地球科学
DOI10.2172/1215283
报告编号NREL/TP--6A20-64297
来源IDOSTI 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
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来源平台US Department of Energy (DOE)
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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.
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