期刊
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
卷 30, 期 -, 页码 179-187出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ijggc.2014.08.023
关键词
Carbon capture; In silico; Modelling; Optimisation; Solvent, design; Computer Aided Molecular Design (CAMD)
This paper presents an in silico optimisation methodology that simultaneously targets an optimal solvent as well as optimal process conditions for a pre-combustion carbon capture process. A mixed integer nonlinear programming (MINLP) method is formulated to minimise the energy requirement for capturing and compressing carbon dioxide. The optimisation is founded on a Computer Aided Molecular Design (CAMD) framework and is firstly carried out to obtain an optimal pure solvent, while an optimal binary solvent blend is targeted through a second separate optimisation. When targeting a solvent blend, a 9% decrease in capture energy requirement is achieved with simultaneous optimisation of solvent and operating conditions over the case with operating conditions optimisation only. Moreover, a 2% decrease in energy requirement is achieved when a binary solvent mixture is optimised as opposed to a pure solvent. (C) 2014 Elsevier Ltd. All rights reserved.
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