Publication: Bicriteria optimization approach to analyze incorporation of biofuel and carbon capture technologies
dc.contributor.department | N/A | |
dc.contributor.department | Department of Industrial Engineering | |
dc.contributor.kuauthor | Öztürk, Ali | |
dc.contributor.kuauthor | Türkay, Metin | |
dc.contributor.kuprofile | PhD Student | |
dc.contributor.kuprofile | Faculty Member | |
dc.contributor.other | Department of Industrial Engineering | |
dc.contributor.schoolcollegeinstitute | Graduate School of Sciences and Engineering | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.contributor.yokid | N/A | |
dc.contributor.yokid | 24956 | |
dc.date.accessioned | 2024-11-09T23:39:56Z | |
dc.date.issued | 2016 | |
dc.description.abstract | Environmental 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.indexedby | WoS | |
dc.description.indexedby | Scopus | |
dc.description.issue | 9 | |
dc.description.openaccess | NO | |
dc.description.publisherscope | International | |
dc.description.sponsorship | TUBITAK[104M322] | |
dc.description.sponsorship | IBM 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.volume | 62 | |
dc.identifier.doi | 10.1002/aic.15421 | |
dc.identifier.eissn | 1547-5905 | |
dc.identifier.issn | 0001-1541 | |
dc.identifier.quartile | Q2 | |
dc.identifier.scopus | 2-s2.0-84979523507 | |
dc.identifier.uri | http://dx.doi.org/10.1002/aic.15421 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/13202 | |
dc.identifier.wos | 382987000038 | |
dc.keywords | Energy systems | |
dc.keywords | Environmentally conscious supply chain management | |
dc.keywords | Mixed-integer programming | |
dc.keywords | Bicriteria optimization | |
dc.keywords | Supply chain management | |
dc.keywords | Co2 | |
dc.keywords | Model | |
dc.keywords | Separation | |
dc.keywords | Storage | |
dc.language | English | |
dc.publisher | Wiley | |
dc.source | Aiche Journal | |
dc.subject | Chemical engineering | |
dc.title | Bicriteria optimization approach to analyze incorporation of biofuel and carbon capture technologies | |
dc.type | Journal Article | |
dspace.entity.type | Publication | |
local.contributor.authorid | N/A | |
local.contributor.authorid | 0000-0003-4769-6714 | |
local.contributor.kuauthor | Öztürk, Ali | |
local.contributor.kuauthor | Türkay, Metin | |
relation.isOrgUnitOfPublication | d6d00f52-d22d-4653-99e7-863efcd47b4a | |
relation.isOrgUnitOfPublication.latestForDiscovery | d6d00f52-d22d-4653-99e7-863efcd47b4a |