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DOI10.1016/j.cie.2024.110069
Synthetic modeling to manage the nexus of food, energy, and water systems under uncertainty: The case of the Columbia River Basin
Wang, Tianye; Shittu, Ekundayo
发表日期2024
ISSN0360-8352
EISSN1879-0550
起始页码190
卷号190
英文摘要Managing the nexus of food, energy, and water (FEW) systems is complex due to uncertainties, especially concerning climate change's effects on resource demand. To assess these uncertainties' impacts, we crafted optimization models treating the FEW nexus as a spatially distributed multi -agent system (MAS). Applied to a synthetic Columbia River Basin (CRB), our methodology offers guidance for CRB management. Results inform optimal energy investments, food production, and water allocation, highlighting a reversed water accessibility priority among irrigation and industrial agents. Hydropower's relevance to policy is minimal but susceptible to climate change, affecting river inflow. Our alternate model evaluates emissions policy, suggesting current caps yield the highest marginal profit. Benchmark tests against a deterministic model reveal significantly increased regional profit potential with our proposed model.
英文关键词Food-energy-water nexus; Regional planning; Stochastic optimization; Carbon emissions; Policy analysis
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS记录号WOS:001221494300001
来源期刊COMPUTERS & INDUSTRIAL ENGINEERING
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/309699
作者单位George Washington University
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Wang, Tianye,Shittu, Ekundayo. Synthetic modeling to manage the nexus of food, energy, and water systems under uncertainty: The case of the Columbia River Basin[J],2024,190.
APA Wang, Tianye,&Shittu, Ekundayo.(2024).Synthetic modeling to manage the nexus of food, energy, and water systems under uncertainty: The case of the Columbia River Basin.COMPUTERS & INDUSTRIAL ENGINEERING,190.
MLA Wang, Tianye,et al."Synthetic modeling to manage the nexus of food, energy, and water systems under uncertainty: The case of the Columbia River Basin".COMPUTERS & INDUSTRIAL ENGINEERING 190(2024).
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