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dc.contributor.authorAl-hotmani, Omer M.A.
dc.contributor.authorAl-Obaidi, Mudhar A.A.R.
dc.contributor.authorLi, Jian-Ping
dc.contributor.authorJohn, Yakubu M.
dc.contributor.authorPatel, Rajnikant
dc.contributor.authorMujtaba, Iqbal M.
dc.date.accessioned2022-03-25T11:03:51Z
dc.date.accessioned2022-03-28T12:15:47Z
dc.date.available2022-03-25T11:03:51Z
dc.date.available2022-03-28T12:15:47Z
dc.date.issued2022-03
dc.identifier.citationAl-hotmani OMA, Al-Obaidi MA, Li, J-P et al (2022) A multi-objective optimisation framework for MED-TVC seawater desalination process based on particle swarm optimisation. Desalination. 525: 115504.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18816
dc.descriptionYesen_US
dc.description.abstractOwing to the high specific energy consumption associated with thermal desalination technologies such as Multi Effect Distillation (MED), there is a wide interest to develop a cost-effective desalination technology. This study focuses on improving the operational, economic, and environmental perspectives of hybrid MED-TVC (thermal vapour compression) process via optimisation. Application of particle swarm optimisation (PSO) in several engineering disciplines have been noted but its potential has not been exploited fully in desalination technologies especially MED-TVC in the past. A multi-objective non-linear optimisation framework based on PSO is constructed here. Two of our earlier models have been used to predict the key process performance and cost indicators. The models are embedded within the PSO optimisation algorithm to develop a new hybrid optimisation model which minimises the total freshwater production cost, total specific energy consumption and brine flow rate while maintaining a fixed freshwater production for a given number of effects and seawater conditions. The steam flow rate and temperature are considered as control variables of the optimisation problem to achieve the objective function. The PSO has successfully achieved the optimum indexes for the hybrid MED-TVC process for a wide range of number of effects. It also shows a maximum reduction of freshwater production cost by 36.5%, a maximum energy saving by 32.1% and a maximum reduction of brine flow rate by 38.3%, while maintaining the productivity of freshwater.en_US
dc.language.isoenen_US
dc.rights© 2021 Elsevier. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.
dc.subjectSeawater desalinationen_US
dc.subjectMulti effect distillation (MED)en_US
dc.subjectThermal vapour compression (TVC)en_US
dc.subjectParticle swarm optimisation (PSO)en_US
dc.subjectEnergy consumptionen_US
dc.titleA multi-objective optimisation framework for MED-TVC seawater desalination process based on particle swarm optimisationen_US
dc.status.refereedYesen_US
dc.date.Accepted2021-12-13
dc.date.application2022-01-04
dc.typeArticleen_US
dc.type.versionAccepted manuscripten_US
dc.identifier.doihttps://doi.org/10.1016/j.desal.2021.115504
dc.rights.licenseCC-BY-NC-NDen_US
dc.date.updated2022-03-25T11:03:54Z
refterms.dateFOA2022-03-28T12:22:59Z
dc.openaccess.statusopenAccessen_US


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