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Optimisation du processus de liquéfaction de gaz naturel en cascade avec un mélange de fluides à l’aide d’une approche multivariée progressive de Coggins: réduction globale de la puissance de compression et analyse de la perte d’exergie.

Optimization of mixed fluid cascade LNG process using a multivariate Coggins step-up approach: Overall compression power reduction and exergy loss analysis.

Auteurs : NAWAZ A., QYYUM M. A., QADEER K., et al.

Type d'article : Article, Article de la RIF

Résumé

The mixed fluid cascade (MFC) process is considered one of the most promising candidates for producing liquefied natural gas (LNG) at onshore sites, mainly owing to its high capacity and relatively high po- tential energy efficiency. The MFC process involves three refrigeration cycles for natural gas precooling, liquefaction, and subcooling, making its operation more complex and sensitive. Each refrigeration cycle consists of a different mixed refrigerant, which must be optimized to change feed and ambient condi- tions to operate efficiently. Any sub-optimal solution can lead to high exergy losses, ultimately reducing the process energy efficiency. Operating optimally is a challenging task, mainly owing to the non-linear interactions between the constrained decision (design) variables and complex thermodynamics involved in MFC refrigeration cycles. In this context, we employ a multivariate Coggins step-up approach to reduce the exergy losses associated with the MFC process. This study reveals that the overall exergy losses can be minimized to 35.91%; resulting in 25.4% overall energy savings compared to sub-optimal MFC processes.

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Format PDF

Pages : 189-200

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Détails

  • Titre original : Optimization of mixed fluid cascade LNG process using a multivariate Coggins step-up approach: Overall compression power reduction and exergy loss analysis.
  • Identifiant de la fiche : 30026579
  • Langues : Anglais
  • Source : International Journal of Refrigeration - Revue Internationale du Froid - vol. 104
  • Date d'édition : 08/2019
  • DOI : http://dx.doi.org/10.1016/j.ijrefrig.2019.04.002

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