Optimization of Heat Exchanger Flow Paths Using a Novel Integer Permutation Based Genetic Algorithm

2018 ◽  
pp. 212-223
Author(s):  
Zhenning Li ◽  
Vikrant Aute
Keyword(s):  
Genetic Algorithm ◽  
Heat Exchanger ◽  
Flow Paths

OPTIMUM DESIGN OF GASKET PLATE HEAT EXCHANGER USING MULTIMODAL GENETIC ALGORITHM

2013 ◽  
Vol 44 (8) ◽  
pp. 761-789 ◽  
Author(s):  
Farzaneh Hajabdollahi ◽  
Zahra Hajabdollahi ◽  
Hassan Hajabdollahi
Keyword(s):  
Genetic Algorithm ◽  
Heat Exchanger ◽  
Optimum Design ◽  
Plate Heat Exchanger ◽  
Plate Heat

Sizing analysis of louvered fin flat tube compact heat exchanger by genetic algorithm

2017 ◽  
Vol 125 ◽  
pp. 1426-1436 ◽  
Author(s):  
Mona S. Yadav ◽  
Sagar A. Giri ◽  
Vishal C. Momale
Keyword(s):  
Genetic Algorithm ◽  
Heat Exchanger ◽  
Compact Heat Exchanger ◽  
Flat Tube ◽  
Louvered Fin

scholarly journals HYBRID GENETIC ALGORITHM TO THE SYNTHESIS OF OPTIMAL HEAT EXCHANGER NETWORKS

2005 ◽  
Vol 4 (1) ◽  
pp. 35
Author(s):  
M. A. S. S. Ravagnani ◽  
A . P. Silva ◽  
A. A. Constantino
Keyword(s):  
Genetic Algorithm ◽  
Heat Exchanger ◽  
Hybrid Genetic Algorithm ◽  
Second Step ◽  
Pinch Analysis ◽  
Pinch Point ◽  
Optimal Heat ◽  
Heat Exchanger Networks

In this paper a new systematic is proposed, interfacing Pinch Analysis and Genetic Algorithms (GA). Initially the optimal ∆Tmin is found by using a genetic algorithm. In a second step, with the optimal ∆Tmin, the pinch point is obtained, and the problem is divided in two regions, below and above it. The optimal HEN is obtained for each side of the pinch and the final HEN is achieved. An example from the literature was solved using the proposed systematic. Results show the applicability of the proposed methodology, obtaining a cost value lower than those presented in the literature.

Optimizing the size of a printed circuit heat exchanger by multi-objective genetic algorithm

2020 ◽  
Vol 167 ◽  
pp. 114811 ◽  
Author(s):  
Yu Yang ◽  
Hongzhi Li ◽  
Mingyu Yao ◽  
Yifan Zhang ◽  
Chun Zhang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Heat Exchanger ◽  
Printed Circuit ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm

scholarly journals Thermal-economic multiobjective optimization of heat pipe heat exchanger for energy recovery in HVAC applications using genetic algorithm

2014 ◽  
Vol 18 (suppl.2) ◽  
pp. 375-391 ◽  
Author(s):  
Sepehr Sanaye ◽  
Davood Modarrespoor
Keyword(s):  
Genetic Algorithm ◽  
Heat Exchanger ◽  
Heat Pipe ◽  
Operating Cost ◽  
Design Parameters ◽  
Nsga Ii ◽  
Pipe Length ◽  
Total Cost ◽  
Continuous And Discrete Variables ◽  
Pipe Heat

Cost and effectiveness are two important factors of heat pipe heat exchanger (HPHE) design. The total cost includes the investment cost for buying equipment (heat exchanger surface area) and operating cost for energy expenditures (related to fan power). The HPHE was thermally modeled using e-NTU method to estimate the overall heat transfer coefficient for the bank of finned tubes as well as estimating pressure drop. Fast and elitist non-dominated sorting genetic algorithm (NSGA-II) with continuous and discrete variables was applied to obtain the maximum effectiveness and the minimum total cost as two objective functions. Pipe diameter, pipe length, numbers of pipes per row, number of rows, fin pitch and fin length ratio were considered as six design parameters. The results of optimal designs were a set of multiple optimum solutions, called ?Pareto optimal solutions?. The comparison of the optimum values of total cost and effectiveness, variation of optimum values of design parameters as well as estimating the payback period were also reported for various inlet fresh air volume flow rates.

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