Parametric optimization for power de-rate reduction in the integrated coal-fired power plant with carbon capture and storage

Title
Parametric optimization for power de-rate reduction in the integrated coal-fired power plant with carbon capture and storage
Authors
이웅Jinjoo AnJaeheum JungChonghun Han
Issue Date
2015-05
Publisher
Industrial & engineering chemistry research
Citation
VOL 54, NO 18-5076
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.
URI
http://pubs.kist.re.kr/handle/201004/70717
ISSN
0888-5885
Appears in Collections:
KIST Publication > Article
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