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DOI10.1007/s10584-020-02669-7
Managing the water–electricity demand nexus in a warming climate
Obringer R.; Kumar R.; Nateghi R.
发表日期2020
ISSN0165-0009
起始页码233
结束页码252
卷号159期号:2
英文摘要Models that consider the interconnectivity between urban systems, including water and electricity, are becoming more common, both in research and in practice. However, there are still too few that consider the impact of climate change, and fewer still that look beyond the baseline climate data (i.e., precipitation and temperature). Here, a data-driven, regional model that considers a wider array of climate variables is built and tested to evaluate the impact of climate change on the coupled water and electricity demand nexus in the Midwestern USA. The model, which is based on a state-of-the-art statistical learning algorithm, is first used to compare model runs comprised of different climatic variables. The model runs included a baseline model that considers only precipitation and temperature, as well as a selected feature model that considered a wider array of climatic variables, including relative humidity and wind speed. Following this comparison, the model is used to make future projections of the coupled water and electricity demand as a function of future climate change scenarios. The results indicate that (1) the inclusion of additional climate variables beyond the baseline provides a significant improvement in predictive accuracy, and (2) the climate-sensitive portions of summer electricity and water use are expected to increase in the region by 19% and 7%, respectively. Finally, the regional-scale model is leveraged to make city-level projections, indicating a 10–20% (2–5%) increase in electricity (water) use across the analyzed cities due to a warming climate. © 2020, Springer Nature B.V.
英文关键词Climate change impacts; Multivariate modeling; Water–electricity nexus
语种英语
scopus关键词Climate models; Electric power system interconnection; Electric power utilization; Wind; Climate change impact; Climatic variables; Electricity demands; Future projections; Interconnectivity; Multivariate modeling; Predictive accuracy; Statistical learning; Climate change; climate change; electricity generation; multivariate analysis; relative humidity; warming; water use; United States
来源期刊Climatic Change
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/147219
作者单位Environmental and Ecological Engineering, Purdue University, West Lafayette, IN 47907, United States; Department Computational Hydrosystems, Helmholtz Centre for Environmental Research - UFZ, Leipzig, 04318, Germany; School of Industrial Engineering, Purdue University, West Lafayette, IN 47907, United States
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Obringer R.,Kumar R.,Nateghi R.. Managing the water–electricity demand nexus in a warming climate[J],2020,159(2).
APA Obringer R.,Kumar R.,&Nateghi R..(2020).Managing the water–electricity demand nexus in a warming climate.Climatic Change,159(2).
MLA Obringer R.,et al."Managing the water–electricity demand nexus in a warming climate".Climatic Change 159.2(2020).
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