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Heat Exchangers

Multi-Objective Optimization of Double-Tube Once-Through Steam Generator

[+] Author and Article Information
Xinyu Wei, Chunhui Dai, Yun Tai

 Department of Nuclear Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, P. R. Chinaxyu.wei@yahoo.com

Fuyu Zhao1

 Department of Nuclear Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, P. R. Chinaxyu.wei@yahoo.com

1

Corresponding author.

J. Heat Transfer 134(7), 071801 (May 24, 2012) (8 pages) doi:10.1115/1.4006102 History: Received August 07, 2011; Revised November 22, 2011; Published May 24, 2012; Online May 24, 2012

This paper presents a double-tube once-through steam generator (DOTSG) consisting of the outer straight tube and the inner helical tube. The tube length and pressure drop of are important parameters in optimal design of DOTSG. For optimal design of such a system, it was modeled to estimate its tube length and pressure drop. Pitch of inner helical tube, flow distribution ratio of the primary fluid, and tube assemblage are considered as design parameters. Then fast and elitist nondominated sorting genetic algorithm-II (NSGA-II) method was applied to find the optimum values of design parameters. In the presented optimal design approach, the tube length and the total pressure drop are two objective functions. The results of optimal designs were a set of multiple optimum solutions, called “Pareto optimal solutions.” The sensitivity analysis of change in optimum tube length and pressure drop with change in design parameters of the DOTSG is also performed and the results are reported.

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Copyright © 2012 by American Society of Mechanical Engineers
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Figures

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Figure 1

Structure diagram of the DOTSG with an inner helical tube. (a) A lengthwise section of the single module and the axial heat transfer regions division. (b) The hexagonal arrangement of the tubes in the shell.

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Figure 2

Distribution of Pareto-optimal points solutions by NSGA-II

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Figure 3

The distribution of S for the Pareto curve in the whole optimal design domain: (a) S in subcooled region, (b) S in nucleate boiling region, (c) S in film boiling region, and (d) S in superheated region

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Figure 4

The distribution of e for the Pareto curve in the whole optimal design domain

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Figure 5

The distribution of Tass for the Pareto curve in the whole optimal design domain

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