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- W2169707595 abstract "Shell and Tube Heat Exchangers (STHEs) are the widely used heat exchangers in industrial applications. Cost minimization of these heat exchangers is an important objective for both designers and users. Heat exchanger design is a tedious and complex process which includes the selection of geometrical parameters and operating parameters. The traditional approach of shell and tube heat exchangers design is to identify a geometry that satisfies a given heat duty and a set of geometric and operational constraints from rating a large number of different heat exchanger geometries. This approach is time-consuming and does not assure an optimal solution. Hence the present study explores the possibility of using Tabu Search (TS) algorithm, a nontraditional metaheuristic algorithm, for optimizing heat exchanger design. Minimization of total annual cost is considered as an objective function. Three design variables, viz., shell internal diameter (Ds), outer tube diameter (do) and baffle spacing (B), are considered for optimization. In this paper, a procedure for optimal design of shell and tube heat exchangers is proposed, which utilizes TS algorithm to minimize the total cost of the equipment, including capital investment and the sum of discounted annual energy expenditures related to pumping. The results obtained from TS algorithm are compared with Particle Swarm Optimization (PSO) algorithm and Genetic Algorithm (GA)." @default.
- W2169707595 created "2016-06-24" @default.
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- W2169707595 date "2012-11-22" @default.
- W2169707595 modified "2023-09-22" @default.
- W2169707595 title "A Tabu Search Algorithm-Based Approach to Economic Optimization of Shell and Tube Heat Exchanger" @default.
- W2169707595 hasPublicationYear "2012" @default.
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