Publication:
Bicriteria optimization approach to analyze incorporation of biofuel and carbon capture technologies

dc.contributor.departmentN/A
dc.contributor.departmentDepartment of Industrial Engineering
dc.contributor.kuauthorÖztürk, Ali
dc.contributor.kuauthorTürkay, Metin
dc.contributor.kuprofilePhD Student
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of Industrial Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.yokidN/A
dc.contributor.yokid24956
dc.date.accessioned2024-11-09T23:39:56Z
dc.date.issued2016
dc.description.abstractEnvironmental considerations has become a central issue in the process industries. The energy sector attracts the majority of attention, since it is responsible from 83% of anthropogenic greenhouse gas emissions. Although the renewable energy technologies are surging, fossil fuels are expected to continue dominating the sector for the next decades. Therefore, it is important to analyze the performance of emerging technologies that can be integrated into existing facilities, such as biofuels and carbon capture and storage (CCS) technologies. In this article, we present a multi-period bicriteria optimization model that represents traditional cogeneration processes and integrate biodiesel and CCS technologies. Then, the efficient set for the problem is obtained by using a novel two-phase solution method. The results show that the modeling approach is effective in identifying the set of efficient solutions for the integration strategies of biodiesel and CCS technologies.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.issue9
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.description.sponsorshipTUBITAK[104M322]
dc.description.sponsorshipIBM Corporation Financial support from TUBITAKwith grant 104M322 is gratefully acknowledged. The authors thank Mitsubishi Chemical Corporation, Japan for providing the data used in this work. MT thanks IBM Corporation for providing computing infrastructure used in this work through IBM SUR Award.
dc.description.volume62
dc.identifier.doi10.1002/aic.15421
dc.identifier.eissn1547-5905
dc.identifier.issn0001-1541
dc.identifier.quartileQ2
dc.identifier.scopus2-s2.0-84979523507
dc.identifier.urihttp://dx.doi.org/10.1002/aic.15421
dc.identifier.urihttps://hdl.handle.net/20.500.14288/13202
dc.identifier.wos382987000038
dc.keywordsEnergy systems
dc.keywordsEnvironmentally conscious supply chain management
dc.keywordsMixed-integer programming
dc.keywordsBicriteria optimization
dc.keywordsSupply chain management
dc.keywordsCo2
dc.keywordsModel
dc.keywordsSeparation
dc.keywordsStorage
dc.languageEnglish
dc.publisherWiley
dc.sourceAiche Journal
dc.subjectChemical engineering
dc.titleBicriteria optimization approach to analyze incorporation of biofuel and carbon capture technologies
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authoridN/A
local.contributor.authorid0000-0003-4769-6714
local.contributor.kuauthorÖztürk, Ali
local.contributor.kuauthorTürkay, Metin
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relation.isOrgUnitOfPublication.latestForDiscoveryd6d00f52-d22d-4653-99e7-863efcd47b4a

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