Please use this identifier to cite or link to this item: https://doi.org/10.1016/B978-0-444-53711-9.50081-X
Title: Surrogate-based VSA Process Optimization for Post-Combustion CO2 Capture
Authors: Faruque Hasan, M.M. 
Karimi, I.A. 
Farooq, S. 
Rajendran, A.
Amanullah, M.
Keywords: Carbon Capture
Optimization
Simulation
Total Ownership of Cost
VSA
Issue Date: 2011
Citation: Faruque Hasan, M.M., Karimi, I.A., Farooq, S., Rajendran, A., Amanullah, M. (2011). Surrogate-based VSA Process Optimization for Post-Combustion CO2 Capture. Computer Aided Chemical Engineering 29 : 402-406. ScholarBank@NUS Repository. https://doi.org/10.1016/B978-0-444-53711-9.50081-X
Abstract: Post-combustion CO2 capture in existing power plants is essential to arrest the current rise in atmospheric CO2 and the consequent alarming trend of global warming. While absorption and pressure swing adsorption are well-known carbon capture technologies, vacuum swing adsorption (VSA) is a potential candidate. In this work, a comprehensive non-isothermal model is first developed and implemented in the multi-physics software COMSOL to simulate various modes of VSA operation. Our extensive parametric study suggests that even a simple basic VSA cycle can capture CO2 with high purity & recovery at comparable or lower energy penalty than published data. The rigor of the full transient VSA simulations to reach the cyclic steady state, however, make fully rigorous VSA optimization intractable. To this end, we present a sequential optimization strategy based on response surface models with synergistic combination of COMSOL simulation model with Design and Analysis of Computer Experiments (DACE). Unlike most optimization studies which either focus on maximizing CO2 purity/recovery or minimizing energy penalty, we use the total-ownership-of-cost approach to rationally drag technology performance, technology economics, energy penalty and environmental impacts to a single basis ($/ton of CO2). The effectiveness of this approach to assess carbon capture economics by combining costing with system analysis is also discussed. © 2011 Elsevier B.V.
Source Title: Computer Aided Chemical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/117412
ISSN: 15707946
DOI: 10.1016/B978-0-444-53711-9.50081-X
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