Multi-parameter optimization of cold energy recovery in cascade Rankine cycle for LNG regasification using genetic algorithm

Sangick Lee

Energy, 2017, vol. 118, issue C, 776-782

Abstract: A large amount of energy is consumed in the liquefaction process of LNG and is normally disposed through heat exchange with seawater in the regasification process. In this study, a cascade Rankine cycle was optimized to recover the cold energy by applying a genetic algorithm.

Keywords: LNG regasification; Genetic algorithm; Energy recovery; Optimization (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (21)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:118:y:2017:i:c:p:776-782

DOI: 10.1016/j.energy.2016.10.118

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