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Dynamic optimization of a hybrid system of energy-storing cryogenic carbon capture and a baseline power generation unit

机译:储能低温碳捕集与基准发电单元混合系统的动态优化

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Recently promulgated regulations of the US Environmental Protection Agency (EPA) aggressively limit CO2 emissions from the US power industry. Carbon capture and increased utilization of renewable energy sources are viable approaches to reduce CO2 emissions from the power industry. Cryogenic carbon capture considered in this study is a post-combustion CO2 removal system that separates CO2 from the flue gas by desublimation. In this investigation, a hybrid system of cryogenic carbon capture and a baseline fossil-fueled power generation unit are optimized with a framework to mathematically represent this hybrid system. Optimization of this hybrid system results in meeting the electricity demand through a combination of coal, gas, and wind power sources with a priority given to wind power for utilization. A comparison of the cost associated with operating the steam turbine as a baseline or load-following unit is also made. A significant decrease in the cycling cost associated with load-following of the coal-fired power plant is observed when it operates as a baseline unit. The decrease in the cycling costs is 82% and 85%, respectively, for when wind power is utilized in meeting the electricity demand and when it is not. The saving in the cycling costs is attributed to the energy storage of cryogenic carbon capture. (C) 2016 Elsevier Ltd. All rights reserved.
机译:美国环境保护署(EPA)最近颁布的法规积极限制了美国电力行业的CO2排放。碳捕获和增加利用可再生能源是减少电力行业二氧化碳排放的可行方法。这项研究中考虑的低温碳捕获是一种燃烧后的CO2去除系统,该系统通过进行升华将烟气中的CO2分离出来。在这项研究中,利用框架优化了低温碳捕获和基线化石燃料发电单元的混合系统,以数学方式表示该混合系统。该混合动力系统的优化可以通过结合使用煤,气和风能资源来满足电力需求,其中优先考虑利用风能。还比较了与将蒸汽涡轮机作为基准或负荷跟踪单元运行相关的成本。当燃煤电厂作为基准机组运行时,可以观察到与负荷跟踪相关的循环成本的显着降低。当使用风能满足电力需求时和不使用时,循环成本分别降低82%和85%。循环成本的节省归因于低温碳捕获的能量存储。 (C)2016 Elsevier Ltd.保留所有权利。

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