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Title: Assessment of advanced solvent-based post-combustion CO2 capture processes using a bi-objective optimization technique

Abstract

We report the optimized performance of two advanced CO2 capture processes is compared to that of a monoethanolamine (MEA) baseline for a gas-powered CO2 capture retrofit of an existing coal-fired facility. The advanced temperature-swing processes utilize piperazine and mixed-salt solvents. The mixed-salt treatment involves the use of ammonia for CO2 absorption and potassium carbonate primarily to control ammonia slip. The processes are represented in terms of energy duty requirements within a modular heat integration code developed for CO2 capture modeling and optimization. The model includes a baseload coal plant, a gas-fired subsystem containing gas turbines and a heat recovery steam generator (HRSG), and a CO2 capture facility. A formal bi-objective optimization procedure is applied to determine the design (e.g., detailed HRSG components and pressure levels, gas turbine capacity, CO2 capture capacity) and time-varying operations of the facility to simultaneously maximize net present value (NPV) and minimize total capital requirement (TCR), while meeting a maximum CO2 emission intensity constraint. For a realistic scenario constructed using historical data, optimization results indicate that both advanced processes outperform MEA in both objectives, and the mixed-salt process in turn outperforms the piperazine process. Specifically, for the scenario considered, the base case mixed-salt process achieves 16%more » greater NPV and 14% lower TCR than the MEA process, and 10% greater NPV and 5% lower TCR than the piperazine process. A five-case sensitivity study of the mixed-salt process indicates that it is competitive with the piperazine process and consistently outperforms the MEA process.« less

Authors:
 [1];  [1];  [1];  [2]
  1. Stanford University, CA (United States)
  2. SRI International, Menlo Park, CA (United States)
Publication Date:
Research Org.:
SRI International, Menlo Park, CA (United States); Stanford Univ., CA (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE); Illich-Sadowsky Interdisciplinary Graduate Fellowship
OSTI Identifier:
1533531
Alternate Identifier(s):
OSTI ID: 1358775
Grant/Contract Number:  
FE0012959
Resource Type:
Accepted Manuscript
Journal Name:
Applied Energy
Additional Journal Information:
Journal Volume: 179; Journal Issue: C; Journal ID: ISSN 0306-2619
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; CO2 capture; technology assessment; MEA; piperazine; mixed-salt; process optimization; MINLP; bi-objective optimization

Citation Formats

Kang, Charles A., Brandt, Adam R., Durlofsky, Louis J., and Jayaweera, Indira. Assessment of advanced solvent-based post-combustion CO2 capture processes using a bi-objective optimization technique. United States: N. p., 2016. Web. doi:10.1016/j.apenergy.2016.07.062.
Kang, Charles A., Brandt, Adam R., Durlofsky, Louis J., & Jayaweera, Indira. Assessment of advanced solvent-based post-combustion CO2 capture processes using a bi-objective optimization technique. United States. https://doi.org/10.1016/j.apenergy.2016.07.062
Kang, Charles A., Brandt, Adam R., Durlofsky, Louis J., and Jayaweera, Indira. Wed . "Assessment of advanced solvent-based post-combustion CO2 capture processes using a bi-objective optimization technique". United States. https://doi.org/10.1016/j.apenergy.2016.07.062. https://www.osti.gov/servlets/purl/1533531.
@article{osti_1533531,
title = {Assessment of advanced solvent-based post-combustion CO2 capture processes using a bi-objective optimization technique},
author = {Kang, Charles A. and Brandt, Adam R. and Durlofsky, Louis J. and Jayaweera, Indira},
abstractNote = {We report the optimized performance of two advanced CO2 capture processes is compared to that of a monoethanolamine (MEA) baseline for a gas-powered CO2 capture retrofit of an existing coal-fired facility. The advanced temperature-swing processes utilize piperazine and mixed-salt solvents. The mixed-salt treatment involves the use of ammonia for CO2 absorption and potassium carbonate primarily to control ammonia slip. The processes are represented in terms of energy duty requirements within a modular heat integration code developed for CO2 capture modeling and optimization. The model includes a baseload coal plant, a gas-fired subsystem containing gas turbines and a heat recovery steam generator (HRSG), and a CO2 capture facility. A formal bi-objective optimization procedure is applied to determine the design (e.g., detailed HRSG components and pressure levels, gas turbine capacity, CO2 capture capacity) and time-varying operations of the facility to simultaneously maximize net present value (NPV) and minimize total capital requirement (TCR), while meeting a maximum CO2 emission intensity constraint. For a realistic scenario constructed using historical data, optimization results indicate that both advanced processes outperform MEA in both objectives, and the mixed-salt process in turn outperforms the piperazine process. Specifically, for the scenario considered, the base case mixed-salt process achieves 16% greater NPV and 14% lower TCR than the MEA process, and 10% greater NPV and 5% lower TCR than the piperazine process. A five-case sensitivity study of the mixed-salt process indicates that it is competitive with the piperazine process and consistently outperforms the MEA process.},
doi = {10.1016/j.apenergy.2016.07.062},
journal = {Applied Energy},
number = C,
volume = 179,
place = {United States},
year = {Wed Jul 27 00:00:00 EDT 2016},
month = {Wed Jul 27 00:00:00 EDT 2016}
}

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Works referencing / citing this record:

Inherent potential of steelmaking to contribute to decarbonisation targets via industrial carbon capture and storage
journal, October 2018