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Abstract
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Article Information:
Application of Genetic Algorithm on Heat Exchanger Network Optimization
Shahram Ghanizadeh and Mojtaba Sedigh Fazli
Corresponding Author: Shahram Ghanizadeh
Submitted: January 14, 2013
Accepted: March 07, 2013
Published: October 10, 2013 |
Abstract:
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Synthesis of Heat Exchanger Networks (HENs) is inherently a Mixed Integer and Nonlinear Programming (MINLP) problem. Solving such problems leads to difficulties in optimization of continuous and binary variables. This study presents a new efficient and robust method in which structural parameters are optimized by G.A. and continuous variables are handled due to a modified objective function for maximum energy recovery. Node representation is used for addressing the exchangers and networks considered as a sequence of genes. Each gene consists of nodes for generating different structures within a network. Results show this method may find new or near optimal solutions with less than 2% increase in HENs annual cost.
Key words: Genetic algorithm, heat exchanger network, mixed integer and nonlinear programming problem, optimization, , ,
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Cite this Reference:
Shahram Ghanizadeh and Mojtaba Sedigh Fazli, . Application of Genetic Algorithm on Heat Exchanger Network Optimization. Research Journal of Applied Sciences, Engineering and Technology, (18): 3378-3383.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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