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  4. An assessment of different solvent-based capture technologies within an IGCC–CCS power plant
 
research article

An assessment of different solvent-based capture technologies within an IGCC–CCS power plant

Urech, Jeremy
•
Tock, Laurence
•
Harkin, Trent
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2014
Energy

This study evaluates three different solvent absorption processes for the pre-combustion capture of CO2 for a black coal IGCC (Integrated Gasification Combined Cycle) power-plant, with the aim of determining the best solvent process for pre-combustion capture. The three solvent processes are MDEA (mono diethanolamine), hot potassium carbonate and Selexol (TM). The study involves detailed thermodynamic models of the entrained flow gasifier, synthesis gas processes, CO2 capture process and the gas turbine and steam turbine combined cycle plant. IGCC without capture yielded an efficiency of 45.02%. For the CO2 capture processes at 90% CO2 capture, the power generation efficiencies are almost identical for MDEA and Selexol (TM) with 36.39% and 36.42%, respectively. The IGCC with the hot potassium carbonate process yielded the highest efficiency with 37.33%. This improvement is attributed to the higher operating temperature of the absorber which allows water vapor in the synthesis gas to be sent to the gas turbine resulting in a greater power production from the gas turbine. A multi-objective optimization is performed by varying different decision variables in the IGCC with the hot potassium carbonate capture process. By optimizing these variables, an efficiency of 39.31% is obtained - a 2% point improvement for 90% capture. Crown Copyright (C) 2013 Published by Elsevier Ltd. All rights reserved.

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Type
research article
DOI
10.1016/j.energy.2013.10.081
Author(s)
Urech, Jeremy
Tock, Laurence
Harkin, Trent
Hoadley, Andrew
Maréchal, François  
Date Issued

2014

Publisher

Elsevier

Published in
Energy
Volume

64

Start page

268

End page

276

Subjects

Hot potassium carbonate

•

Process design

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Process integration

•

Thermo-modeling

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Pre-combustion capture

•

Multi-objective optimization

Editorial or Peer reviewed

NON-REVIEWED

Written at

EPFL

EPFL units
SCI-STI-FM  
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/97224
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