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A software-based predictive model for greenhouse gas mitigation: Towards environmental sustainability

dc.creatorMoncada S.V.spa
dc.creatorPalacio M.G.spa
dc.creatorLuna-Delrisco M.spa
dc.creatorOrozco C.A.A.spa
dc.creatorJair J.spa
dc.creatorMontealegre J.J.Q.spa
dc.creatorImbachi J.C.spa
dc.creatorDiaz-Forero I.spa
dc.date.accessioned2018-10-31T13:44:18Z
dc.date.available2018-10-31T13:44:18Z
dc.date.created2018
dc.identifier.isbn9789899843486
dc.identifier.issn21660727
dc.identifier.urihttp://hdl.handle.net/11407/4864
dc.descriptionIn the last years research-based programs relevant to sustainability have been developed. Some technological research programs are focused on the design of systems and processes that can be useful for mitigating greenhouse gas emissions as CO2. To diminish the negative impact caused by CO2 for global warming, its chemical transformation in Dimethyl Carbonate is a promising technology. Dimethyl Carbonate is a solvent with low toxicity and due to oxidative capacity can be used as fuel additive. In this work, the membrane reactor technology to improve the Dymethyl Carbonate production is explored from the perspective of modelling and simulation. As a result, a software-based model is implemented, in order to develop and couple different models for describing the membrane reactor. Simulation results showed that the membrane reactor, compared with conventional reactor, increase the reaction conversion and Dymethyl Carbonate production up to 67% and 78%, respectively. Finally, it can be seen that the solution obtained from software-based model allows to conclude that membrane reactor is a promising technology to mitigate CO2 emissions, allowing to achieve environmental sustainability. © 2018 AISTI.spa
dc.language.isoeng
dc.publisherIEEE Computer Societyspa
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85049907918&doi=10.23919%2fCISTI.2018.8399195&partnerID=40&md5=b4c8431983c736c8cf64c68fed77547aspa
dc.sourceScopusspa
dc.subjectGreen reagentspa
dc.subjectGreenhouse emissionspa
dc.subjectMembrane reactor technologyspa
dc.subjectSimulationspa
dc.subjectSustainabilityspa
dc.subjectBioreactorsspa
dc.subjectCarbon dioxidespa
dc.subjectCarbonationspa
dc.subjectEnvironmental technologyspa
dc.subjectFuel additivesspa
dc.subjectGas emissionsspa
dc.subjectGlobal warmingspa
dc.subjectGreenhouse gasesspa
dc.subjectInformation systemsspa
dc.subjectInformation usespa
dc.subjectMembrane technologyspa
dc.subjectEnvironmental sustainabilityspa
dc.subjectGreen reagentspa
dc.subjectGreenhouse emissionsspa
dc.subjectGreenhouse gas mitigationspa
dc.subjectMembrane reactorspa
dc.subjectModelling and simulationsspa
dc.subjectSimulationspa
dc.subjectTechnological research projectsspa
dc.subjectSustainable developmentspa
dc.titleA software-based predictive model for greenhouse gas mitigation: Towards environmental sustainabilityspa
dc.typeConference Papereng
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programIngeniería en Energía;Ingeniería de Sistemas;Ingeniería de Telecomunicacionesspa
dc.contributor.affiliationMoncada, S.V., Universidad de Medellín;Palacio, M.G., Telecommunications Engineering Department;Luna-Delrisco, M., Universidad de Medellín;Orozco, C.A.A., Universidad de Medellín;Jair, J.,Universidad de Medellín;Montealegre, J.J.Q., Telecommunications Engineering Department;Imbachi, J.C., Telecommunications Engineering Department;Diaz-Forero, I., Servicio Nacional de Aprendizaje - SENAspa
dc.identifier.doi10.23919/CISTI.2018.8399195
dc.relation.citationvolume2018-June
dc.relation.citationstartpage1
dc.relation.citationendpage6
dc.publisher.facultyFacultad de Ingenieríasspa
dc.relation.ispartofesIberian Conference on Information Systems and Technologies, CISTIspa
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dc.type.driverinfo:eu-repo/semantics/conferenceObject


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