气候变化
电
投资(军事)
环境经济学
电力系统
网格
产能规划
业务
业务计划系统
环境资源管理
环境科学
风险分析(工程)
经济
运营管理
功率(物理)
工程类
政治
几何学
电气工程
物理
生物
量子力学
数学
过程管理
法学
生态学
政治学
作者
Francisco Ralston Fonseca,Michael Craig,Paulina Jaramillo,Mario Bergés,Edson Severnini,Aviva Loew,Haibo Zhai,Yifan Cheng,Bart Nijssen,Nathalie Voisin,J. R. Yearsley
标识
DOI:10.1021/acs.est.1c01334
摘要
Electricity grid planners design the system to supply electricity to end-users reliably and affordably. Climate change threatens both objectives through potentially compounding supply- and demand-side climate-induced impacts. Uncertainty surrounds each of these future potential impacts. Given long planning horizons, system planners must weigh investment costs against operational costs under this uncertainty. Here, we developed a comprehensive and coherent integrated modeling framework combining physically based models with cost-minimizing optimization models in the power system. We applied this modeling framework to analyze potential tradeoffs in planning and operating costs in the power grid due to climate change in the Southeast U.S. in 2050. We find that planning decisions that do not account for climate-induced impacts would result in a substantial increase in social costs associated with loss of load. These social costs are a result of under-investment in new capacity and capacity deratings of thermal generators when we included climate change impacts in the operation stage. These results highlight the importance of including climate change effects in the planning process.
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