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

Title
Design optimization of single mixed refrigerant natural gas liquefaction process using the particle swarm paradigm with nonlinear constraints
Author(s)
이문용칸모드샤리크
Keywords
SYSTEM; OPERATION; MIXTURES; EXERGY
Issue Date
201301
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Citation
ENERGY, v.49, pp.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 (TM) 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. (C) 2012 Elsevier Ltd. All rights reserved.
URI
http://hdl.handle.net/YU.REPOSITORY/26756http://dx.doi.org/10.1016/j.energy.2012.11.028
ISSN
0360-5442
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공과대학 > 화학공학부 > Articles
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