Comparative Kinetic Analysis and Process Optimization for the Production of Dimethyl Ether via Methanol Dehydration over a γ-Alumina Catalyst
(2022) In Chemical Engineering & Technology 45(2). p.319-328- Abstract
- Various kinetic models of methanol dehydration to dimethyl ether over a commercial γ-alumina catalyst were compared with a view to selecting the most appropriate model as a basis for process optimization. To achieve significant improvements in the conventional design, the Berčič-and-Levec kinetic model was employed and process intensification was applied to develop a more energy-efficient process, by enhancing the adiabatic reactor performance and maximizing the heat recovery from the highly exothermic reactor. The single-pass conversion of methanol was increased to 83 %, with an inlet temperature of 217 °C to the adiabatic reactor. Application of process intensification resulted in an improved flowsheet, which reduced the total energy... (More)
- Various kinetic models of methanol dehydration to dimethyl ether over a commercial γ-alumina catalyst were compared with a view to selecting the most appropriate model as a basis for process optimization. To achieve significant improvements in the conventional design, the Berčič-and-Levec kinetic model was employed and process intensification was applied to develop a more energy-efficient process, by enhancing the adiabatic reactor performance and maximizing the heat recovery from the highly exothermic reactor. The single-pass conversion of methanol was increased to 83 %, with an inlet temperature of 217 °C to the adiabatic reactor. Application of process intensification resulted in an improved flowsheet, which reduced the total energy requirements by 59.3 % and cut the CO2 emissions by 60.8 %. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/c2812ccf-22a4-4f90-853c-263f25309810
- author
- Al-Rabiah, Abdulrahman A. ; Alshehri, Abdulelah S. ; Ibn Idriss, Arimiyawo and Abdelaziz, Omar Y. LU
- organization
- publishing date
- 2022
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Dimethyl ether, Kinetics, Methanol dehydration, Process optimization, Process simulation
- in
- Chemical Engineering & Technology
- volume
- 45
- issue
- 2
- pages
- 10 pages
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- scopus:85122677162
- ISSN
- 1521-4125
- DOI
- 10.1002/ceat.202100441
- language
- English
- LU publication?
- yes
- id
- c2812ccf-22a4-4f90-853c-263f25309810
- date added to LUP
- 2022-01-27 09:51:56
- date last changed
- 2023-12-10 08:14:10
@article{c2812ccf-22a4-4f90-853c-263f25309810, abstract = {{Various kinetic models of methanol dehydration to dimethyl ether over a commercial γ-alumina catalyst were compared with a view to selecting the most appropriate model as a basis for process optimization. To achieve significant improvements in the conventional design, the Berčič-and-Levec kinetic model was employed and process intensification was applied to develop a more energy-efficient process, by enhancing the adiabatic reactor performance and maximizing the heat recovery from the highly exothermic reactor. The single-pass conversion of methanol was increased to 83 %, with an inlet temperature of 217 °C to the adiabatic reactor. Application of process intensification resulted in an improved flowsheet, which reduced the total energy requirements by 59.3 % and cut the CO2 emissions by 60.8 %.}}, author = {{Al-Rabiah, Abdulrahman A. and Alshehri, Abdulelah S. and Ibn Idriss, Arimiyawo and Abdelaziz, Omar Y.}}, issn = {{1521-4125}}, keywords = {{Dimethyl ether; Kinetics; Methanol dehydration; Process optimization; Process simulation}}, language = {{eng}}, number = {{2}}, pages = {{319--328}}, publisher = {{John Wiley & Sons Inc.}}, series = {{Chemical Engineering & Technology}}, title = {{Comparative Kinetic Analysis and Process Optimization for the Production of Dimethyl Ether via Methanol Dehydration over a γ-Alumina Catalyst}}, url = {{http://dx.doi.org/10.1002/ceat.202100441}}, doi = {{10.1002/ceat.202100441}}, volume = {{45}}, year = {{2022}}, }