Thermal-Economic Optimization of Shell and Tube Heat Exchanger by using a new Multi-Objective optimization method

Document Type : Full Lenght Research Article

Authors

1 Faculty of Mechanical Engineering, Semnan University, P.O. Box 35131-19111, Semnan, Iran

2 Faculty of Mechanical Engineering, Semnan University, P.O. Box 35131-19111, Semnan, Iran.

Abstract

Many studies are performed by researchers about Shell and Tube Heat Exchanger but the Multi-Objective Big Bang-Big Crunch algorithm (MOBBA) technique has never been used in such studies. This paper presents application of Thermal-Economic Multi-Objective Optimization of Shell and Tube Heat Exchanger Using MOBBA.
For optimal design of a shell and tube heat exchanger, it was first thermally modeled using e-NTU method while Bell-Delaware procedure was applied to estimate its shell side heat transfer coefficient and pressure drop. MOBBA method was applied to obtain the maximum effectiveness (heat recovery) and the minimum total cost as two objective functions. The results of optimal designs were a set of multiple optimum solutions, called ‘Pareto optimal solutions'. In order to show the accuracy of the algorithm, a comparison is made with the non-dominated sorting genetic algorithm (NSGA-II) and MOBBA which are developed for the same problem.

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References

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History

  • Receive Date: 14 January 2014
  • Revise Date: 24 July 2014
  • Accept Date: 19 June 2016

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