Reactive Distillation of Biodiesel: Modelling and Optimal Operation

This thesis modifies an already existing dynamic Matlab Simulink model to correlate with a Hysys model from a similar research. The models are concerned with the reactive distillation for production of biodiesel from linoleic esters of soybean oil through transesterification reactions. The Matlab mo...

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Main Author: Houge, Emilie Oritsland
Format: Others
Language:English
Published: Norges teknisk-naturvitenskapelige universitet, Institutt for kjemisk prosessteknologi 2013
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-23368
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spelling ndltd-UPSALLA1-oai-DiVA.org-ntnu-233682013-11-03T04:39:52ZReactive Distillation of Biodiesel: Modelling and Optimal OperationengHouge, Emilie OritslandNorges teknisk-naturvitenskapelige universitet, Institutt for kjemisk prosessteknologiInstitutt for kjemisk prosessteknologi2013This thesis modifies an already existing dynamic Matlab Simulink model to correlate with a Hysys model from a similar research. The models are concerned with the reactive distillation for production of biodiesel from linoleic esters of soybean oil through transesterification reactions. The Matlab model was constructed using molar balances, Francis? weir equation for the liquid dynamics, no vapour dynamics, kinetics according to the rate law and temperature estimations according to the UNIQUAC method. Very similar results were presented for the two models besides the Matlab being of simpler origin, and having no inclusion of energy balances compared to the Hysys model. Both a dynamic Simulink and a DAE-system model were produced, with the DAE system having reduced simulation time and an additional steady-state version.The steady-state version of the DAE-model was used for optimisation according to the Skogestad Economic Plantwide Optimisation principles. The first part of the systematic top-down/bottom-up method was applied, focusing on the economic control. Four distinct active constraint regions were identified; varying with the feed flowrate and molar ratio. The first region could not be solved with regard to quality constraints, while the second had maximum flowrate and maximum impurity of total glycerol in the biodiesel product as the active constraints. The third region had active constraints of maximum temperature in the reboiler and maximum impurity of glycerol. The fourth region would not be solved by the Matlab fmincon interior-point algorithm, and applies very high feed ratios outside of the range normally applied by biodiesel production processes. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-23368Local ntnudaim:9779application/pdfinfo:eu-repo/semantics/openAccess
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language English
format Others
sources NDLTD
description This thesis modifies an already existing dynamic Matlab Simulink model to correlate with a Hysys model from a similar research. The models are concerned with the reactive distillation for production of biodiesel from linoleic esters of soybean oil through transesterification reactions. The Matlab model was constructed using molar balances, Francis? weir equation for the liquid dynamics, no vapour dynamics, kinetics according to the rate law and temperature estimations according to the UNIQUAC method. Very similar results were presented for the two models besides the Matlab being of simpler origin, and having no inclusion of energy balances compared to the Hysys model. Both a dynamic Simulink and a DAE-system model were produced, with the DAE system having reduced simulation time and an additional steady-state version.The steady-state version of the DAE-model was used for optimisation according to the Skogestad Economic Plantwide Optimisation principles. The first part of the systematic top-down/bottom-up method was applied, focusing on the economic control. Four distinct active constraint regions were identified; varying with the feed flowrate and molar ratio. The first region could not be solved with regard to quality constraints, while the second had maximum flowrate and maximum impurity of total glycerol in the biodiesel product as the active constraints. The third region had active constraints of maximum temperature in the reboiler and maximum impurity of glycerol. The fourth region would not be solved by the Matlab fmincon interior-point algorithm, and applies very high feed ratios outside of the range normally applied by biodiesel production processes.
author Houge, Emilie Oritsland
spellingShingle Houge, Emilie Oritsland
Reactive Distillation of Biodiesel: Modelling and Optimal Operation
author_facet Houge, Emilie Oritsland
author_sort Houge, Emilie Oritsland
title Reactive Distillation of Biodiesel: Modelling and Optimal Operation
title_short Reactive Distillation of Biodiesel: Modelling and Optimal Operation
title_full Reactive Distillation of Biodiesel: Modelling and Optimal Operation
title_fullStr Reactive Distillation of Biodiesel: Modelling and Optimal Operation
title_full_unstemmed Reactive Distillation of Biodiesel: Modelling and Optimal Operation
title_sort reactive distillation of biodiesel: modelling and optimal operation
publisher Norges teknisk-naturvitenskapelige universitet, Institutt for kjemisk prosessteknologi
publishDate 2013
url http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-23368
work_keys_str_mv AT hougeemilieoritsland reactivedistillationofbiodieselmodellingandoptimaloperation
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