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Product value modeling for a natural gas liquid to liquid transportation fuel process

Product value modeling for a natural gas liquid to liquid transportation fuel process
Product value modeling for a natural gas liquid to liquid transportation fuel process
Light alkanes from shale resources can potentially be converted to an easy-to-transport liquid hydrocarbon product by catalytic dehydrogenation followed by catalytic oligomerization. The chemical species in the liquid product and their concentrations depend on the process design, operating conditions, and choice of catalyst(s). In order to optimize process design and catalyst selection, it is important to be able to evaluate the economic value of the liquid product stream as a function of design variables and operating conditions. As an initial effort in addressing this challenge, the mixture octane number, a key property in determining the value of a gasoline blend stock, is considered. An approach is outlined for the estimation of the mixture octane number using a functional group contribution method and appropriate mixing rules, and this estimation procedure is interfaced with a microkinetic oligomerization reactor model. This combined microkinetic and octane number modeling approach is demonstrated using two case studies involving ethylene and propylene as feed streams, with product streams characterized in terms of octane number, molecular size distribution, and degree of branching. Results of this type are expected to provide guidance on catalyst development and process optimization.
0888-5885
3109-3199
Ganesh, Hari S.
2764a6c4-ba65-4c55-9748-85b5fe2e7c83
Dean, David P.
5b483fc2-d8bf-481a-8411-cb8e4e6ae7a7
Vernuccio, Sergio
4bafd7f3-0943-4f6c-bc78-b4026516ccdb
Edgar, Thomas F.
62a19995-93d2-47d1-9a11-b693c5e0fffa
Baldea, Michael
1ad3903d-140f-4edd-9989-926a4c5513c5
Broadbelt, Linda J.
735dfd41-2abe-4613-86d1-0ab094dfb269
Stadtherr, Mark A.
1b8466b0-3fa1-4673-9254-e98cfda76d48
Allen, David T.
8c4c0f21-8ca0-4d0a-93ce-12e0b4bcbf21
Ganesh, Hari S.
2764a6c4-ba65-4c55-9748-85b5fe2e7c83
Dean, David P.
5b483fc2-d8bf-481a-8411-cb8e4e6ae7a7
Vernuccio, Sergio
4bafd7f3-0943-4f6c-bc78-b4026516ccdb
Edgar, Thomas F.
62a19995-93d2-47d1-9a11-b693c5e0fffa
Baldea, Michael
1ad3903d-140f-4edd-9989-926a4c5513c5
Broadbelt, Linda J.
735dfd41-2abe-4613-86d1-0ab094dfb269
Stadtherr, Mark A.
1b8466b0-3fa1-4673-9254-e98cfda76d48
Allen, David T.
8c4c0f21-8ca0-4d0a-93ce-12e0b4bcbf21

Ganesh, Hari S., Dean, David P., Vernuccio, Sergio, Edgar, Thomas F., Baldea, Michael, Broadbelt, Linda J., Stadtherr, Mark A. and Allen, David T. (2020) Product value modeling for a natural gas liquid to liquid transportation fuel process. Industrial & Engineering Chemistry Research, 59 (7), 3109-3199. (doi:10.1021/acs.iecr.9b06673).

Record type: Article

Abstract

Light alkanes from shale resources can potentially be converted to an easy-to-transport liquid hydrocarbon product by catalytic dehydrogenation followed by catalytic oligomerization. The chemical species in the liquid product and their concentrations depend on the process design, operating conditions, and choice of catalyst(s). In order to optimize process design and catalyst selection, it is important to be able to evaluate the economic value of the liquid product stream as a function of design variables and operating conditions. As an initial effort in addressing this challenge, the mixture octane number, a key property in determining the value of a gasoline blend stock, is considered. An approach is outlined for the estimation of the mixture octane number using a functional group contribution method and appropriate mixing rules, and this estimation procedure is interfaced with a microkinetic oligomerization reactor model. This combined microkinetic and octane number modeling approach is demonstrated using two case studies involving ethylene and propylene as feed streams, with product streams characterized in terms of octane number, molecular size distribution, and degree of branching. Results of this type are expected to provide guidance on catalyst development and process optimization.

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More information

Accepted/In Press date: 21 January 2020
Published date: 21 January 2020

Identifiers

Local EPrints ID: 495798
URI: http://eprints.soton.ac.uk/id/eprint/495798
ISSN: 0888-5885
PURE UUID: 32b24789-8c7e-467d-91d7-82d682197528
ORCID for Sergio Vernuccio: ORCID iD orcid.org/0000-0003-1254-0293

Catalogue record

Date deposited: 22 Nov 2024 17:49
Last modified: 23 Nov 2024 03:13

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Contributors

Author: Hari S. Ganesh
Author: David P. Dean
Author: Sergio Vernuccio ORCID iD
Author: Thomas F. Edgar
Author: Michael Baldea
Author: Linda J. Broadbelt
Author: Mark A. Stadtherr
Author: David T. Allen

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