Prediction of ultra low sulphur diesel catalyst performance using limited pilot plant data

Due to the presence of refractory sulphur (S) compounds in the gasoil, the achievement of Ultra-low-Sulphur Diesel (ULSD) using the conventional bimetallic catalyst in the Hydrodesulphurization (HDS) process in order to bring sulphur down to less than 10 ppmwt is considered as a tough task/challenge...

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Main Authors: Haitem Hassan-Beck, Abdallah Sofiane Berrouk
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:Alexandria Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016821001502
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author Haitem Hassan-Beck
Abdallah Sofiane Berrouk
author_facet Haitem Hassan-Beck
Abdallah Sofiane Berrouk
author_sort Haitem Hassan-Beck
collection DOAJ
description Due to the presence of refractory sulphur (S) compounds in the gasoil, the achievement of Ultra-low-Sulphur Diesel (ULSD) using the conventional bimetallic catalyst in the Hydrodesulphurization (HDS) process in order to bring sulphur down to less than 10 ppmwt is considered as a tough task/challenge and gain major attention due to the EPA regulations on the transportation fuel industry.In this work, a catalytic testing of four commercial alumina-supported cobalt–molybdenum (CoMo) catalysts were conducted using fixed bed pilot plant reactor using a complex real mixture of straight run gasoil fraction (C12-C20) in order to determine the operating conditions at industrial unit particularly by focusing on the refractory (S) compounds and determining their reaction kinetics parameters. A limited pilot plant real data and a simplified kinetic model were employed to estimate the kinetic parameters for the four tested CA, CB, CC and CD catalysts. A parameter estimation technique with explicit models was also used to determine their highest posterior density intervals. The technique is based on minimization of the sum of the square errors (SSE) between the experimental and predicted data of the residual sulphur concentrations in the product distributions. The results revealed that each catalyst showed, expectedly, different results translated into how longer a commercial run length can be extended.
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spelling doaj.art-93451e2064314809b6ea2281389a7a862022-12-21T21:57:12ZengElsevierAlexandria Engineering Journal1110-01682021-08-0160439753983Prediction of ultra low sulphur diesel catalyst performance using limited pilot plant dataHaitem Hassan-Beck0Abdallah Sofiane Berrouk1Chemical Engineering Department, Khalifa University, Sas Al Nakhl Campus, PO Box 2533, Abu Dhabi, United Arab Emirates; ADNOC Refining Research Centre, P.O. Box 3593, Abu Dhabi, United Arab Emirates; Corresponding author.Mechanical Engineering Department, Khalifa University, Sas Al Nakhl Campus, PO Box 2533, Abu Dhabi, United Arab Emirates; Center for Catalysis and Separation, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab EmiratesDue to the presence of refractory sulphur (S) compounds in the gasoil, the achievement of Ultra-low-Sulphur Diesel (ULSD) using the conventional bimetallic catalyst in the Hydrodesulphurization (HDS) process in order to bring sulphur down to less than 10 ppmwt is considered as a tough task/challenge and gain major attention due to the EPA regulations on the transportation fuel industry.In this work, a catalytic testing of four commercial alumina-supported cobalt–molybdenum (CoMo) catalysts were conducted using fixed bed pilot plant reactor using a complex real mixture of straight run gasoil fraction (C12-C20) in order to determine the operating conditions at industrial unit particularly by focusing on the refractory (S) compounds and determining their reaction kinetics parameters. A limited pilot plant real data and a simplified kinetic model were employed to estimate the kinetic parameters for the four tested CA, CB, CC and CD catalysts. A parameter estimation technique with explicit models was also used to determine their highest posterior density intervals. The technique is based on minimization of the sum of the square errors (SSE) between the experimental and predicted data of the residual sulphur concentrations in the product distributions. The results revealed that each catalyst showed, expectedly, different results translated into how longer a commercial run length can be extended.http://www.sciencedirect.com/science/article/pii/S1110016821001502HydrodesulphurizationUltra-low-sulphur dieselCatalystKinetics modelPilot plant data
spellingShingle Haitem Hassan-Beck
Abdallah Sofiane Berrouk
Prediction of ultra low sulphur diesel catalyst performance using limited pilot plant data
Alexandria Engineering Journal
Hydrodesulphurization
Ultra-low-sulphur diesel
Catalyst
Kinetics model
Pilot plant data
title Prediction of ultra low sulphur diesel catalyst performance using limited pilot plant data
title_full Prediction of ultra low sulphur diesel catalyst performance using limited pilot plant data
title_fullStr Prediction of ultra low sulphur diesel catalyst performance using limited pilot plant data
title_full_unstemmed Prediction of ultra low sulphur diesel catalyst performance using limited pilot plant data
title_short Prediction of ultra low sulphur diesel catalyst performance using limited pilot plant data
title_sort prediction of ultra low sulphur diesel catalyst performance using limited pilot plant data
topic Hydrodesulphurization
Ultra-low-sulphur diesel
Catalyst
Kinetics model
Pilot plant data
url http://www.sciencedirect.com/science/article/pii/S1110016821001502
work_keys_str_mv AT haitemhassanbeck predictionofultralowsulphurdieselcatalystperformanceusinglimitedpilotplantdata
AT abdallahsofianeberrouk predictionofultralowsulphurdieselcatalystperformanceusinglimitedpilotplantdata