Publication: Plant-wide optimization and control of an industrial diesel hydro-processing plant
dc.contributor.coauthor | Mutlu, Mustafa | |
dc.contributor.coauthor | Dikbaş, Mine | |
dc.contributor.coauthor | İş, Gamze | |
dc.contributor.department | Department of Chemical and Biological Engineering | |
dc.contributor.kuauthor | Arkun, Yaman | |
dc.contributor.kuauthor | Aydın, Erdal | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.date.accessioned | 2024-11-09T23:50:25Z | |
dc.date.issued | 2016 | |
dc.description.abstract | Diesel 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.indexedby | WOS | |
dc.description.indexedby | Scopus | |
dc.description.openaccess | NO | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.description.sponsorship | TUPRAS Refineries The authors gratefully acknowledge the financial support of TUPRAS Refineries. | |
dc.description.volume | 87 | |
dc.identifier.doi | 10.1016/j.compchemeng.2016.01.016 | |
dc.identifier.eissn | 1873-4375 | |
dc.identifier.issn | 0098-1354 | |
dc.identifier.quartile | Q2 | |
dc.identifier.scopus | 2-s2.0-84957540328 | |
dc.identifier.uri | https://doi.org/10.1016/j.compchemeng.2016.01.016 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/14545 | |
dc.identifier.wos | 370865300018 | |
dc.keywords | Hydro-desulfurization reactors | |
dc.keywords | Blending | |
dc.keywords | Diesel roperties | |
dc.keywords | Sulfur removal | |
dc.keywords | Empirical modeling | |
dc.keywords | Model predictive control | |
dc.language.iso | eng | |
dc.publisher | Pergamon-Elsevier Science Ltd | |
dc.relation.ispartof | Computers and Chemical Engineering | |
dc.subject | Computer science | |
dc.subject | Interdisciplinary applications | |
dc.subject | Engineering, chemical | |
dc.title | Plant-wide optimization and control of an industrial diesel hydro-processing plant | |
dc.type | Journal Article | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | Aydın, Erdal | |
local.contributor.kuauthor | Arkun, Yaman | |
local.publication.orgunit1 | College of Engineering | |
local.publication.orgunit2 | Department of Chemical and Biological Engineering | |
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