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Sequential coordinate random search for optimal operation of LNG (liquefied natural gas) plant

Mohd Shariq Khan, I.A. Karimi,, Alireza Bahadori and Moonyong Lee

Energy, 2015, vol. 89, issue C, 757-767

Abstract: This study exploits the sequential coordinate randomization search method for optimizing LNG (liquefied natural gas) process plants. The coordinate search is based on the idea of minimizing the multivariable function considering one variable at a time. The random element is incorporated in the coordinated search for an exhaustive exploration of decision variable space. A simple implementation with few operating parameters makes the proposed approach suitable for the optimization of highly non-linear LNG process plants. The efficacy of the proposed methodology was tested on the well-known SMR (single mixed refrigerant) and propane pre-cooled mixed refrigerant (C3MR) process of NG liquefaction. The main decision variables in SMR and C3MR process plants were identified and optimized in terms of the compression energy. The results were compared with the heuristic results, which revealed the superiority, simplicity and suitability of the proposed sequential coordinate random search algorithm for LNG process plants.

Keywords: Coordinate search; Random search; Natural gas; Liquefaction; Optimization; SMR/C3MR (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:89:y:2015:i:c:p:757-767

DOI: 10.1016/j.energy.2015.06.021

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