Optimization approach for continuous catalytic regenerative reformer processes

Mirko Z. Stijepovic, Patrick Linke, Mirjana Kijevcanin

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

The new approach for simulation and optimization of a continuous catalytic regenerative (CCR) reformer process is proposed. Typical CCR reforming processes consist of three to four reactors with recycle. The reaction patterns and reactors are typicallymodeled using a system of partial differential equations (PDEs). The numerical simulation solution of the entire model for a process system consisting of multiple reaction zoneswith recycle is extremely time-consuming and, thus, impractical in optimization studies.That iswhy we proposed amore efficient simulation and optimization scheme based on quasi-steady-state assumptions. We define criteria for reactor fragmentation to avoid the introduction of large errors in the quasi-steady-state calculations. The optimization problem is formulated with the objective of minimizing fuel consumption. The employed objective function constitutes a combined measure for economic and environmental performance. It is shown that the proposed approach identifies considerable improvements for the process.

Original languageEnglish
Pages (from-to)1908-1916
Number of pages9
JournalEnergy and Fuels
Volume24
Issue number3
DOIs
Publication statusPublished - 18 Mar 2010

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Reforming reactions
Fuel consumption
Partial differential equations
Economics
Computer simulation

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Fuel Technology
  • Energy Engineering and Power Technology

Cite this

Optimization approach for continuous catalytic regenerative reformer processes. / Stijepovic, Mirko Z.; Linke, Patrick; Kijevcanin, Mirjana.

In: Energy and Fuels, Vol. 24, No. 3, 18.03.2010, p. 1908-1916.

Research output: Contribution to journalArticle

Stijepovic, Mirko Z. ; Linke, Patrick ; Kijevcanin, Mirjana. / Optimization approach for continuous catalytic regenerative reformer processes. In: Energy and Fuels. 2010 ; Vol. 24, No. 3. pp. 1908-1916.
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