Comparison of Nontraditional Optimization Techniques in Optimization of Shell and Tube Heat Exchanger

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İnsel M. A., Albayrak F. İ., Köçken H.

International Conference on Mathematics and its Applications in Science and Engineering (ICMASE2020), Ankara, Turkey, 9 - 10 July 2020, pp.185-196

  • Publication Type: Conference Paper / Full Text
  • City: Ankara
  • Country: Turkey
  • Page Numbers: pp.185-196
  • Yıldız Technical University Affiliated: Yes


Heat exchangers, which are the systems that allow heat transfer between two or more uids, are widely used in industry, and they are an indispensable part of chemical processes. Thus, a considerable amount of research has been conducted in the optimization of these systems, especially regarding cost optimization. There are two main parameters affecting the cost of a heat exchanger. One is the surface area of the exchanger, which mainly affects the capital investment cost. The other one is the pressure drop, which mainly affects the operating cost. These parameters are interlinked; however, since the change in the surface area may result in a change in the pressure drop and vice versa due to the physical laws. In the case which is analyzed in this study, there are four main variables for the heat exchanger, which will be adjusted in order to obtain the optimum values for surface area and pressure drop: the number of tube side passages, shell inside diameter, bafes spacing, and tube outside diameter. In this study, we compare the success of the nontraditional optimization techniques such as generic algorithms, particle swarm optimization, articial bee colony, and biography-based optimization for a shell and tube heat exchanger. In the considered three processes in which these optimization methods are utilized, we see that biography-based optimization has given the minimum cost for each process.