UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Enabling the direct solution of challenging computer-aided molecular and process design problems: Chemical absorption of carbon dioxide

Lee, Ye Seol; Galindo, Amparo; Jackson, George; Adjiman, Claire S; (2023) Enabling the direct solution of challenging computer-aided molecular and process design problems: Chemical absorption of carbon dioxide. Computers & Chemical Engineering , 174 , Article 108204. 10.1016/j.compchemeng.2023.108204. Green open access

[thumbnail of 1-s2.0-S009813542300073X-main (1).pdf]
Preview
Text
1-s2.0-S009813542300073X-main (1).pdf - Published Version

Download (3MB) | Preview

Abstract

The search for improved CO2 capture solvents can be accelerated by deploying computer-aided molecular and process design (CAMPD) techniques to explore large molecular and process domains systematically. However, the direct solution of the integrated molecular-process design problem is very challenging as nonlinear interactions between physical properties and process performance render a large proportion of the search space infeasible. We develop a methodology that enables the direct and reliable solution of CAMPD for absorption– desorption processes, using the state-of-the-art SAFT-γ Mie group contribution approach to predict phase and chemical equilibria. We develop new feasibility tests and show them to be highly efficient at reducing the search space, integrating them in an outer-approximation algorithm. The framework is applied to design an aqueous solvent and CO2 chemical absorption–desorption process, with 150 CAMPD instances across three case studies solved successfully. The optimal solvents are more promising than those obtained with sequential molecular design approaches.

Type: Article
Title: Enabling the direct solution of challenging computer-aided molecular and process design problems: Chemical absorption of carbon dioxide
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.compchemeng.2023.108204
Publisher version: https://doi.org/10.1016/j.compchemeng.2023.108204
Language: English
Additional information: Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Computer-aided molecular and process design; Mixed-integer nonlinear programming; Amine solvent design; CO2; chemical absorption process; SAFT-γ Mie
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10209373
Downloads since deposit
22Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item