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dc.contributor.authorAqar, D.Y.*
dc.contributor.authorRahmanian, Nejat*
dc.contributor.authorMujtaba, Iqbal M.*
dc.date.accessioned2016-03-21T13:34:56Z
dc.date.available2016-03-21T13:34:56Z
dc.date.issued2016-01-28
dc.identifier.citationAqar DY, Rahmanian N and Mujtaba IM (2016) Methyl lactate synthesis using batch reactive distillation: Operational challenges and strategy for enhanced performance. Separation and Purification Technology. 158: 193-203.en_US
dc.identifier.urihttp://hdl.handle.net/10454/7968
dc.descriptionYesen_US
dc.description.abstractBatch reactive distillation is well known for improved conversion and separation of desired reaction products. However, for a number of reactions, the distillation can separate the reactants depending on their boiling points of them and thus not only reduces the benefit of the reactive distillation but also offers operational challenges for keeping the reactants together. Methyl lactate (ML) synthesis via the esterification of lactic acid (LA) with methanol in a reactive distillation falls into this category and perhaps that is why this process has not been explored in the past. The boiling points of the reactants (LA, methanol) are about 490 K and 337 K while those of the products (ML, water) are 417 K and 373 K respectively. Clearly in a conventional reactive distillation (batch or continuous) methanol will be separated from the LA and will reduce the conversion of LA to ML significantly. Here, first the limitations of the use of conventional batch distillation column (CBD) for the synthesis of ML is investigated in detail and a semi-batch reactive distillation (SBD) configuration is studied in detail where LA is the limiting reactant and methanol is continuously fed in excess in the reboiler allowing the reactants to be together for a longer period. However, this poses an operational challenge that the column has to be carefully controlled to avoid overflow of the reboiler at any time of the operation. In this work, the performance of SBD for the synthesis of ML is evaluated using model based optimization in which operational constraints are embedded. The results clearly demonstrate the viability of the system for the synthesis of ML.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttp://dx.doi.org/10.1016/j.seppur.2015.12.023en_US
dc.rights© 2016 Elsevier B.V. Full-text 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 http://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.subjectDynamic modelling; Optimisation; Methyl lactate; Conventional reactive distillation; Semi-batch reactive distillation; Esterificationen_US
dc.titleMethyl lactate synthesis using batch reactive distillation: Operational challenges and strategy for enhanced performanceen_US
dc.status.refereedYesen_US
dc.date.Accepted2015-12-13
dc.typeArticleen_US
dc.type.versionAccepted Manuscripten_US
refterms.dateFOA2018-07-25T14:20:00Z


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