Effect of feed natural gas conditions on the performance of mixed refrigerant LNG process

Mengyu Wang, Rajab Khalilpour, Ali Abbas

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Abstract

The natural gas wellhead conditions vary over the life of a production well. These variations affect the performance, production and product quality of liquefied natural gas (LNG) plant. This study, through a simulation-based sensitivity analysis, highlights the significance of the effects imparted by the feed natural gas conditions on process performance of a propane precooled mixed refrigerant (C3MR) LNG process. The results show that the specific shaft work and thus OPEX is sensitive to the feed composition, flowrate, and pressure. For instance, as LNG production decreases from its design capacity of 3.0 MTPA to 2.4 MTPA over time, the specific OPEX increases from $128/t-LNG to $154/t-LNG.

Original languageEnglish
Title of host publication12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering
EditorsKrist V. Gernaey, Jakob K. Huusom, Rafiqul Gani
Place of PublicationKidlington OX UK
PublisherElsevier
Pages2309-2314
Number of pages6
ISBN (Electronic)9780444635785, 9780444634290
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventInternational Symposium on Process Systems Engineering and European Symposium on Computer Aided Process Engineering 2015 - Copenhagen, Denmark
Duration: 31 May 20154 Jun 2015
https://www.sciencedirect.com/science/journal/15707946/37/supp/C
http://www.pse2015escape25.dk/

Publication series

NameComputer Aided Chemical Engineering
PublisherElsevier
Volume37
ISSN (Print)1570-7946

Conference

ConferenceInternational Symposium on Process Systems Engineering and European Symposium on Computer Aided Process Engineering 2015
Abbreviated titlePSE/ESCAPE 2015
CountryDenmark
CityCopenhagen
Period31/05/154/06/15
OtherBOTH OF THESE CONF NAMES ARE ON THE ERA LIST
Computer Aided Chemical Engineering
Volume 37, Pages 1-2602 (2015)
12 International Symposium on Process Systems Engineering and 25 European Symposium on Computer Aided Process Engineering
Edited by Krist V. Gernaey, Jakob K. Huusom and Rafiqul Gani
Internet address

Keywords

  • C3MR
  • Feed gas conditions
  • LNG
  • Modelling
  • Sensitivity analysis

Cite this

Wang, M., Khalilpour, R., & Abbas, A. (2015). Effect of feed natural gas conditions on the performance of mixed refrigerant LNG process. In K. V. Gernaey, J. K. Huusom, & R. Gani (Eds.), 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering (pp. 2309-2314). (Computer Aided Chemical Engineering; Vol. 37). Kidlington OX UK: Elsevier. https://doi.org/10.1016/B978-0-444-63576-1.50079-0
Wang, Mengyu ; Khalilpour, Rajab ; Abbas, Ali. / Effect of feed natural gas conditions on the performance of mixed refrigerant LNG process. 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering. editor / Krist V. Gernaey ; Jakob K. Huusom ; Rafiqul Gani. Kidlington OX UK : Elsevier, 2015. pp. 2309-2314 (Computer Aided Chemical Engineering).
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abstract = "The natural gas wellhead conditions vary over the life of a production well. These variations affect the performance, production and product quality of liquefied natural gas (LNG) plant. This study, through a simulation-based sensitivity analysis, highlights the significance of the effects imparted by the feed natural gas conditions on process performance of a propane precooled mixed refrigerant (C3MR) LNG process. The results show that the specific shaft work and thus OPEX is sensitive to the feed composition, flowrate, and pressure. For instance, as LNG production decreases from its design capacity of 3.0 MTPA to 2.4 MTPA over time, the specific OPEX increases from $128/t-LNG to $154/t-LNG.",
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Wang, M, Khalilpour, R & Abbas, A 2015, Effect of feed natural gas conditions on the performance of mixed refrigerant LNG process. in K V. Gernaey, J K. Huusom & R Gani (eds), 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering. Computer Aided Chemical Engineering, vol. 37, Elsevier, Kidlington OX UK, pp. 2309-2314, International Symposium on Process Systems Engineering and European Symposium on Computer Aided Process Engineering 2015, Copenhagen, Denmark, 31/05/15. https://doi.org/10.1016/B978-0-444-63576-1.50079-0

Effect of feed natural gas conditions on the performance of mixed refrigerant LNG process. / Wang, Mengyu; Khalilpour, Rajab; Abbas, Ali.

12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering. ed. / Krist V. Gernaey; Jakob K. Huusom; Rafiqul Gani. Kidlington OX UK : Elsevier, 2015. p. 2309-2314 (Computer Aided Chemical Engineering; Vol. 37).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

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AB - The natural gas wellhead conditions vary over the life of a production well. These variations affect the performance, production and product quality of liquefied natural gas (LNG) plant. This study, through a simulation-based sensitivity analysis, highlights the significance of the effects imparted by the feed natural gas conditions on process performance of a propane precooled mixed refrigerant (C3MR) LNG process. The results show that the specific shaft work and thus OPEX is sensitive to the feed composition, flowrate, and pressure. For instance, as LNG production decreases from its design capacity of 3.0 MTPA to 2.4 MTPA over time, the specific OPEX increases from $128/t-LNG to $154/t-LNG.

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KW - Modelling

KW - Sensitivity analysis

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Wang M, Khalilpour R, Abbas A. Effect of feed natural gas conditions on the performance of mixed refrigerant LNG process. In V. Gernaey K, K. Huusom J, Gani R, editors, 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering. Kidlington OX UK: Elsevier. 2015. p. 2309-2314. (Computer Aided Chemical Engineering). https://doi.org/10.1016/B978-0-444-63576-1.50079-0