Studies on the retrofit of heat exchanger network based on the hybrid genetic algorithm |
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| Affiliation: | 1. School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;2. School of Chemical Engineering, Ningbo University of Technology, Ningbo 315016, China;3. Institute of Thermodynamics, Gottfried Wilhelm Leibniz Universität Hannover, Hannover D-30167, Germany;1. Chemical Engineering Department, Federal University of Rio Grande do Sul (UFRGS)-Brazil Group of Intensification, Modeling, Simulation, Control and Optimization of Processes (GIMSCOP), Brazil;2. Chemical Engineering Department, Carnegie Mellon University (CMU) – USA Center of Advanced Process Decision Making (CAPD), USA |
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| Abstract: | The retrofit of heat exchanger networks (HENs) is an important branch of investigation for systematic heat integration. The studies on the economical and efficient retrofit techniques are very important for the high energy-consumption enterprises to save energy, protect environment and improve their market competitiveness. Because the retrofit of HEN is an optimization problem normally solved by a mixed integer nonlinear program (MINLP) which requires enormous solution space, it is very difficult to solve it with the traditional optimization methods. In this paper, by the analysis of an existing heat exchanger network, the hybrid genetic algorithm is applied to obtain the optimal retrofitted HEN with full utilization of the existing heat exchangers and structures. Two examples are taken to show the better effect of the retrofit method with the optimal new heat exchangers and re-piping cost and energy saving. |
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| Keywords: | Retrofit Heat exchanger network Hybrid genetic algorithm Energy saving |
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