A computer-aided tool for the simulation and optimization of the combined HDS-FCC processes

Bollas, GM; Papadokonstantakis, S; Michalopoulos, J; Arampatzis, G; Lappas, AA; Vasalos, IA; Lygeros, A

dc.contributor.author	Bollas, GM	en
dc.contributor.author	Papadokonstantakis, S	en
dc.contributor.author	Michalopoulos, J	en
dc.contributor.author	Arampatzis, G	en
dc.contributor.author	Lappas, AA	en
dc.contributor.author	Vasalos, IA	en
dc.contributor.author	Lygeros, A	en
dc.date.accessioned	2014-03-01T01:19:44Z
dc.date.available	2014-03-01T01:19:44Z
dc.date.issued	2004	en
dc.identifier.issn	0263-8762	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15681
dc.subject	Computer-aided tools	en
dc.subject	Fluid catalytic cracking	en
dc.subject	Hydrodesulphurization	en
dc.subject	Optimization	en
dc.subject	Process modelling	en
dc.subject	Simulation	en
dc.subject.classification	Engineering, Chemical	en
dc.subject.other	Algorithms	en
dc.subject.other	Computer simulation	en
dc.subject.other	Computer software	en
dc.subject.other	Oil shale refining	en
dc.subject.other	Optimization	en
dc.subject.other	Sensitivity analysis	en
dc.subject.other	Computer software - Visual Basic	en
dc.subject.other	Dehydrosulfurization (HDS)	en
dc.subject.other	Fluid catalytic cracking	en
dc.subject.other	computer aided process planning	en
dc.title	A computer-aided tool for the simulation and optimization of the combined HDS-FCC processes	en
heal.type	journalArticle	en
heal.identifier.primary	10.1205/0263876041596706	en
heal.identifier.secondary	http://dx.doi.org/10.1205/0263876041596706	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	A computer-aided tool for the simulation, optimization and analysis of the combined operation of the hydrodesulphurization (HDS) and fluid catalytic cracking (FCC) processes in an oil refinery is presented. The optimization of these processes is an important yet difficult engineering task, because of the complexity in the integration of the two units, the large number of interacting variables, the product quality specifications and the financial benefits associated. The proposed tool is developed in a user-friendly Visual Basic environment and operates in two different modes: the modelling-prediction mode and the optimization-sensitivity analysis mode. The modelling of the processes is based on 'short form' models, which were created following statistical and neural network approaches. This kind of model usually has short computing time requirements, which is critical for the optimization mode. The optimization algorithm is based on a financial objective function with a flexible form, which gives the user the option to explore a variety of scenarios. Industrial runs have verified the modelling accuracy of the tool. The optimization scenarios examined include the contemporary needs of modern refineries for LPG and gasoline maximization, subject to strict quality specifications. The demonstration of this tool aims to give an insight into the system dependencies and add knowledge on the possibility of a more profitable operation of such a complex process. © 2004 Institution of Chemical Engineers.	en
heal.publisher	INST CHEMICAL ENGINEERS	en
heal.journalName	Chemical Engineering Research and Design	en
dc.identifier.doi	10.1205/0263876041596706	en
dc.identifier.isi	ISI:000222552800008	en
dc.identifier.volume	82	en
dc.identifier.issue	7	en
dc.identifier.spage	881	en
dc.identifier.epage	894	en