dc.contributor.author | Kaur, J | |
dc.contributor.author | Chugh, T | |
dc.contributor.author | Sangal, VK | |
dc.date.accessioned | 2019-06-11T12:56:37Z | |
dc.date.issued | 2019-06-10 | |
dc.description.abstract | An optimisation problem to minimise energy requirements in the synthesis of bio-additive ethyl tertiary butyl ether (ETBE) via reactive dividing wall distillation column (RDWC) is considered. The contribution of the article is to solve a real-world optimisation problem by addressing two challenges: (i) finding optimal process conditions in few numbers of simulations and (ii) handling mixed-integer variables. An efficient global optimisation algorithm is used to find optimal process conditions and adapted to handle both integer and continuous variables. ETBE is produced by the reaction of ethanol and isobutene in RDWC and has proven its niche in reducing the energy requirements for reaction–separation processes. However, the overall economics of the process is governed by the energy requirements. Therefore, it is crucial to find the optimal process conditions for achieving a cost-effective process. Reboiler duty of RDWC, considered as a measure of the energy requirements to be minimised by using the algorithm. Seven variables (four integers and three continuous) are used in the optimisation process to minimise the reboiler duty. A very low value of reboiler duty is obtained after doing the optimisation, which not only provides insight when using RDWC but also shows the potential of the algorithm used. | en_GB |
dc.description.sponsorship | Natural Environment Research Council (NERC) | en_GB |
dc.identifier.citation | Awaiting citation and DOI | en_GB |
dc.identifier.doi | 10.1080/00194506.2019.1623089 | |
dc.identifier.grantnumber | NE/P017436/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/37461 | |
dc.language.iso | en | en_GB |
dc.publisher | Taylor & Francis / Anamaya Publishers | en_GB |
dc.rights.embargoreason | Under embargo until 10 June 2020 in compliance with publisher policy | en_GB |
dc.rights | © 2019 Indian Institute of Chemical Engineers | en_GB |
dc.subject | ETBE | en_GB |
dc.subject | RDWC | en_GB |
dc.subject | Bayesian optimisation | en_GB |
dc.subject | machine learning | en_GB |
dc.subject | evolutionary computation | en_GB |
dc.subject | Gaussian processes | en_GB |
dc.subject | genetic algorithm | en_GB |
dc.subject | chemical engineering | en_GB |
dc.title | Energy efficient global optimisation of reactive dividing wall distillation column | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-06-11T12:56:37Z | |
dc.identifier.issn | 0019-4506 | |
dc.description | This is the author accepted manuscript. The final version is avialable from Taylor & Francis via the DOI in this record | en_GB |
dc.identifier.journal | Indian Chemical Engineer | en_GB |
dc.rights.uri | http://www.rioxx.net/licenses/all-rights-reserved | en_GB |
dcterms.dateAccepted | 2019-05-19 | |
exeter.funder | ::Natural Environment Research Council (NERC) | en_GB |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2019-06-10 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-06-11T09:22:46Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2020-06-09T23:00:00Z | |
refterms.panel | B | en_GB |