储能
可再生能源
化石燃料
环境经济学
压缩空气储能
电
工艺工程
分布式发电
工程类
电网储能
发电
网格
计算机科学
功率(物理)
废物管理
电气工程
经济
物理
几何学
数学
量子力学
作者
Manali S. Zantye,Akhilesh Gandhi,Mengdi Li,Akhil Arora,M. M. Faruque Hasan
出处
期刊:Computer-aided chemical engineering
日期:2022-01-01
卷期号:: 2089-2094
被引量:1
标识
DOI:10.1016/b978-0-323-85159-6.50348-1
摘要
In this work, we address the challenges associated with decarbonizing electricity grids through a decentralized integration scheme of individual fossil power plants with energy storage and flexible CO2 capture. To this end, we develop a technology design and downselection framework and demonstrate a prototype tool called THESEUS (TecHno-Economic framework for Systematic Energy storage Utilization and downSelection) which enables an extensive techno-economic analysis of integrating fossil power plants with several candidate energy storage technologies which include cryogenic, molten-salt, compressed air, and batteries. The core of THESEUS is a large-scale mixed integer nonlinear programming (MINLP)-based optimization that determines an optimal selection and combination of energy storage technologies for minimizing the cost of meeting the grid electricity demand. We demonstrate THESEUS through a case study for reducing the fossil power plant cycling and minimizing carbon emissions while satisfying sharp spikes in energy demands.
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