Parametric Optimization for Power De-Rate Reduction in the Integrated Coal-Fired Power Plant with Carbon Capture and Storage. An, J., Lee, U., Jung, J., & Han, C. Industrial and Engineering Chemistry Research, 2015. doi abstract bibtex © 2015 American Chemical Society. 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.
@article{
title = {Parametric Optimization for Power De-Rate Reduction in the Integrated Coal-Fired Power Plant with Carbon Capture and Storage},
type = {article},
year = {2015},
volume = {54},
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created = {2021-03-23T08:23:14.327Z},
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last_modified = {2021-03-23T08:50:11.753Z},
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authored = {true},
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abstract = {© 2015 American Chemical Society. Carbon capture and storage (CCS) has attracted worldwide attention as a near-term technology to decelerate global warming. Postcombustion CO<inf>2</inf> 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 CO<inf>2</inf> 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 CO<inf>2</inf> capture with aqueous MEA scrubbing (85%, 90%, and 95% removals) and CO<inf>2</inf> liquefaction integrated with a 550 MWe supercritical coal-fired power plant was simulated. The liquid to gas ratio and stripper operating pressure of the CO<inf>2</inf> 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.},
bibtype = {article},
author = {An, J and Lee, U and Jung, J and Han, C},
doi = {10.1021/ie504557a},
journal = {Industrial and Engineering Chemistry Research},
number = {18}
}
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Carbon capture and storage (CCS) has attracted worldwide attention as a near-term technology to decelerate global warming. Postcombustion CO<inf>2</inf> 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 CO<inf>2</inf> 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 CO<inf>2</inf> capture with aqueous MEA scrubbing (85%, 90%, and 95% removals) and CO<inf>2</inf> liquefaction integrated with a 550 MWe supercritical coal-fired power plant was simulated. The liquid to gas ratio and stripper operating pressure of the CO<inf>2</inf> 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.","bibtype":"article","author":"An, J and Lee, U and Jung, J and Han, C","doi":"10.1021/ie504557a","journal":"Industrial and Engineering Chemistry Research","number":"18","bibtex":"@article{\n title = {Parametric Optimization for Power De-Rate Reduction in the Integrated Coal-Fired Power Plant with Carbon Capture and Storage},\n type = {article},\n year = {2015},\n volume = {54},\n id = {034b30c2-af71-3a1f-a794-0d69f7836906},\n created = {2021-03-23T08:23:14.327Z},\n file_attached = {false},\n profile_id = {e2d2f261-b93b-3381-802e-ec4f45d345ec},\n last_modified = {2021-03-23T08:50:11.753Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n source_type = {article},\n private_publication = {false},\n abstract = {© 2015 American Chemical Society. 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