Publication:
Plant-wide optimization and control of an industrial diesel hydro-processing plant

Simple item page
dc.contributor.coauthorMutlu, Mustafa
dc.contributor.coauthorDikbaş, Mine
dc.contributor.coauthorİş, Gamze
dc.contributor.departmentDepartment of Chemical and Biological Engineering
dc.contributor.departmentDepartment of Chemical and Biological Engineering
dc.contributor.kuauthorAydın, Erdal
dc.contributor.kuauthorArkun, Yaman
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of Chemical and Biological Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.yokid311745
dc.contributor.yokid108526
dc.date.accessioned2024-11-09T23:50:25Z
dc.date.issued2016
dc.description.abstractDiesel hydro-processing (DHP) is an important refinery process which removes the undesired sulfur from the oil feedstock followed by hydro-cracking and fractionation to obtain diesel with desired properties. The DHP plant operates with varying feed-stocks. Also, changing market conditions have significant effects on the diesel product specifications. In the presence of such a dynamic environment, the DHP plant has to run in the most profitable and safe way and satisfy the product requirements. In this study, we propose a hierarchical, cascaded model predictive control structure to be used for real-time optimization of an industrial DHP plant. (C) 2016 Elsevier Ltd. All rights reserved.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.description.sponsorshipTUPRAS Refineries The authors gratefully acknowledge the financial support of TUPRAS Refineries.
dc.description.volume87
dc.identifier.doi10.1016/j.compchemeng.2016.01.016
dc.identifier.eissn1873-4375
dc.identifier.issn0098-1354
dc.identifier.quartileQ2
dc.identifier.scopus2-s2.0-84957540328
dc.identifier.urihttp://dx.doi.org/10.1016/j.compchemeng.2016.01.016
dc.identifier.urihttps://hdl.handle.net/20.500.14288/14545
dc.identifier.wos370865300018
dc.keywordsHydro-desulfurization reactors
dc.keywordsBlending
dc.keywordsDiesel roperties
dc.keywordsSulfur removal
dc.keywordsEmpirical modeling
dc.keywordsModel predictive control
dc.languageEnglish
dc.publisherPergamon-Elsevier Science Ltd
dc.sourceComputers and Chemical Engineering
dc.subjectComputer science
dc.subjectInterdisciplinary applications
dc.subjectEngineering, chemical
dc.titlePlant-wide optimization and control of an industrial diesel hydro-processing plant
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authorid0000-0002-8498-4830
local.contributor.authorid0000-0002-3740-379X
local.contributor.kuauthorAydın, Erdal
local.contributor.kuauthorArkun, Yaman
relation.isOrgUnitOfPublicationc747a256-6e0c-4969-b1bf-3b9f2f674289
relation.isOrgUnitOfPublication.latestForDiscoveryc747a256-6e0c-4969-b1bf-3b9f2f674289

Files

Collections

Publications without Fulltext