Farzin, A; Ghazi, M; Sotoodeh, A F and Nikian, M (2021) Economic optimization of heat exchanger networks based on geometric parameters using hybrid genetic-particle swarm algorithm technique. Journal of Engineering, Design and Technology, 19(4), pp. 989-1015. ISSN 1726-0531
Abstract
The purpose of this study is to provide a method for designing the shell and tube heat exchangers and examine the total annual cost of heat exchanger networks from the economic view based on the careful design of equipment. Accurate evaluation of heat exchanger networks performance depends on detailed models of heat exchangers design. The simulations variables include nine design variables such as flow direction determination of each of the two fluids, number of tubes, number of tube passes, length of tubes, the arrangement of tubes, size and percentage of baffle cut, tube diameter and tube pitch. The optimal designing of the heat exchangers is based on geometrical and hydraulic modeling and using a hybrid genetic particle swarm optimization algorithm (PSO-GA) technique. In this paper, optimization and minimization of the total annual cost of heat exchanger networks are considered as the objective function. In this study, a fast and reliable method is used to simulate, optimize design parameters and evaluate heat transfer enhancement. PSO-GA algorithms have been used to minimize the total annual cost, which includes investment costs of heat exchangers and pumps, operating costs (pumping) and energy costs for utilities. Three case studies of four, six and nine streams are selected to demonstrate the accuracy of the method. Reductions of 0.55%, 23.5% and 14.78% are obtained in total annual cost for the selected streams, respectively. In the present study, a reliable method is used to simulate and optimize design parameters and the economic optimization of the heat exchanger networks. Taking into account the importance of shell and tube heat exchangers in industrial applications and the complexity in their geometry, the PSO-GA methodology is adopted to obtain an optimal geometric configuration. The total annual cost is chosen as the objective function. Applying this technique to case studies demonstrates its ability to accurately design heat exchangers to optimize the objective function of the heat exchanger networks by giving the detail of design.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | accuracy; complexity; equipment; evaluation; heat transfer; investment; performance; utilities; valuation; optimization; case studies; simulation |
| Index terms: | configuration, stream, methodology, tube, complexity, energy cost, minimization, accuracy, industrial application, hydraulic, shell-and-tube heat exchanger, operating cost, total annual cost, modelling, geometry, case study, genetic particle swarm optimization, utilities, design parameter |
| Subjects: | financial and cost management, analytical methods, fluid mechanics, economic analysis, innovation and technology management, mathematical modelling, data collection methods, construction type, materials science, design constraints, cost management, systems engineering, thermal systems, algorithms, research methods, professional development, water management |
| Topics: | Design Practice, Digital Applications, Research Practice, Engineering Principles, Information Management, Cost Management, Business Strategy, Construction Technology, Sustainability |
| Descriptive scope: | 5 PCTEA |
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