Projects per year
Abstract
Vacuum/pressure swing adsorption is an attractive and often energy efficient separation process for some applications. However, there is often a trade-off between the different objectives: purity, recovery and power consumption. Identifying those trade-offs is possible through use of multi-objective optimisation methods but this is computationally challenging due to the size of the search space and the need for high fidelity simulations due to the inherently dynamic nature of the process. This paper presents the use of surrogate modelling to address the computational requirements of high fidelity simulations needed to evaluate alternative designs. We present SbNSGA-II ALM, surrogate based NSGA-II, a robust and fast multi- objective optimisation method based on kriging surrogate models and NSGA-II with the Active Learning MacKay (ALM) design criterion. The method is evaluated by application to an industrially relevant case study: a two column six step system for CO2/N2 separation. A 5 times reduction in computational effort is observed.
Original language | English |
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Pages (from-to) | 318-329 |
Number of pages | 12 |
Journal | Computers and Chemical Engineering |
Volume | 82 |
Early online date | 23 Jul 2015 |
DOIs | |
Publication status | Published - 2 Nov 2015 |
Keywords
- Carbon capture
- Kriging
- Multi-objective optimisation
- Surrogate modelling
- Vacuum/pressure swing adsorption
- Dynamic simulation
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Dive into the research topics of 'Multi-objective optimisation using surrogate models for the design of VPSA systems'. Together they form a unique fingerprint.Projects
- 2 Finished
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IGSCC: Innovative gas separations for carbon capture
Brandani, S., Düren, T. & Sarkisov, L.
1/10/09 → 30/09/13
Project: Research
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CCSI: Partnerships for Public Engagement: Carbon capture and Storage Interactive
Haszeldine, S., Brandani, S. & Erskine, P.
1/02/09 → 31/05/11
Project: Research
Profiles
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Daniel Friedrich
- School of Engineering - Personal Chair of Energy Systems
Person: Academic: Research Active