Design optimization of single mixed refrigerant natural gas liquefaction process using the particle swarm paradigm with nonlinear constraints

Mohd Shariq Khan and Moonyong Lee

Energy, 2013, vol. 49, issue C, 146-155

Abstract: The particle swarm paradigm is employed to optimize single mixed refrigerant natural gas liquefaction process. Liquefaction design involves multivariable problem solving and non-optimal execution of these variables can waste energy and contribute to process irreversibilities. Design optimization requires these variables to be optimized simultaneously; minimizing the compression energy requirement is selected as the optimization objective. Liquefaction is modeled using Honeywell UniSim Design™ and the resulting rigorous model is connected with the particle swarm paradigm coded in MATLAB. Design constraints are folded into the objective function using the penalty function method. Optimization successfully improved efficiency by reducing the compression energy requirement by ca. 10% compared with the base case.

Keywords: Single mixed refrigerant process; Particle swarm paradigm; Nonlinear constrained optimization; Natural gas liquefaction; Rigorous simulation; LNG (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (44)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:49:y:2013:i:c:p:146-155

DOI: 10.1016/j.energy.2012.11.028

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