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- W2330293044 startingPage "5062" @default.
- W2330293044 abstract "Carbon capture and storage (CCS) has attracted worldwide attention as a near-term technology to decelerate global warming. Postcombustion CO2 capture utilizes existing coal-fired power plants, and aqueous monoethanolamine (MEA) scrubbing is the most common capture technology. However, the heat and energy requirements of solvent regeneration and CO2 liquefaction cause a 30% decrease in net power output. This power de-rate is a major obstacle to implementing CCS. In this study, simulation-based parametric optimization was performed to minimize the power de-rate. Postcombustion CO2 capture with aqueous MEA scrubbing (85%, 90%, and 95% removals) and CO2 liquefaction integrated with a 550 MWe supercritical coal-fired power plant was simulated. The liquid to gas ratio and stripper operating pressure of the CO2 capture process were the manipulated variables with steam extracted from the intermediate pressure–low pressure crossover pipe and the first low pressure turbine as possible heat sources. The power de-rate was reduced to 17.7% when operating at optimum conditions." @default.
- W2330293044 created "2016-06-24" @default.
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- W2330293044 date "2015-05-05" @default.
- W2330293044 modified "2023-10-14" @default.
- W2330293044 title "Parametric Optimization for Power De-Rate Reduction in the Integrated Coal-Fired Power Plant with Carbon Capture and Storage" @default.
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- W2330293044 doi "https://doi.org/10.1021/ie504557a" @default.
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