MULTI-OBJECTIVE FINNED-TUBE HEAT EXCHANGER OPTIMIZATION USING A GENETIC ALGORITHM
Heat exchangers are a significant component in many industries, particularly in energy conversion systems. The design of heat exchangers itself is a complex process because it involves experience-based decisions, numerous variables and parameters, and some of them are competing with each other. One...
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id-itb.:664032022-06-28T09:35:47ZMULTI-OBJECTIVE FINNED-TUBE HEAT EXCHANGER OPTIMIZATION USING A GENETIC ALGORITHM Rizki Suyatna, Nadiyah Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/66403 Heat exchangers are a significant component in many industries, particularly in energy conversion systems. The design of heat exchangers itself is a complex process because it involves experience-based decisions, numerous variables and parameters, and some of them are competing with each other. One way to tackle this problem is through the use of optimization techniques such as evolutionary algorithms and mathematical programming. Genetic Algorithms (GAs) are one of the first evolutionary algorithms which remains one of the most extensively used non-linear optimization methods today. This study explores the implementation of Non-Dominated Sorting Genetic Algorithm II (NSGA-II) for thermal design and optimization of a finned-tube heat exchanger. The chosen objective functions were minimizing the heat exchanger volume and minimizing the air side pressure drop. The decision variables for the design were tube outer diameter, number of tube rows, fin pitch, unit height, and unit width. In addition to finding the optimum heat exchanger configuration, the trade-off between the two objectives was visualized and the influence each decision variable has on each objective was observed. Number of tube rows, unit width, and unit height were found to be important design parameters which caused the trade-off between the heat exchanger volume and air pressure drop. The calculated parameters and estimated cost of both preliminary design and optimized design were also compared. The optimized design offered a bigger alternative design while meeting all the constraints according to standards and industrial needs. The optimization reduced annualized cost by 228% and lowered air pressure drop by 413% with bigger heat exchanger volume of 12% compared to the preliminary design. text |
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Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Rizki Suyatna, Nadiyah MULTI-OBJECTIVE FINNED-TUBE HEAT EXCHANGER OPTIMIZATION USING A GENETIC ALGORITHM |
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Heat exchangers are a significant component in many industries, particularly in energy conversion systems. The design of heat exchangers itself is a complex process because it involves experience-based decisions, numerous variables and parameters, and some of them are competing with each other. One way to tackle this problem is through the use of optimization techniques such as evolutionary algorithms and mathematical programming.
Genetic Algorithms (GAs) are one of the first evolutionary algorithms which remains one of the most extensively used non-linear optimization methods today. This study explores the implementation of Non-Dominated Sorting Genetic Algorithm II (NSGA-II) for thermal design and optimization of a finned-tube heat exchanger. The chosen objective functions were minimizing the heat exchanger volume and minimizing the air side pressure drop. The decision variables for the design were tube outer diameter, number of tube rows, fin pitch, unit height, and unit width. In addition to finding the optimum heat exchanger configuration, the trade-off between the two objectives was visualized and the influence each decision variable has on each objective was observed. Number of tube rows, unit width, and unit height were found to be important design parameters which caused the trade-off between the heat exchanger volume and air pressure drop.
The calculated parameters and estimated cost of both preliminary design and optimized design were also compared. The optimized design offered a bigger alternative design while meeting all the constraints according to standards and industrial needs. The optimization reduced annualized cost by 228% and lowered air pressure drop by 413% with bigger heat exchanger volume of 12% compared to the preliminary design.
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format |
Final Project |
author |
Rizki Suyatna, Nadiyah |
author_facet |
Rizki Suyatna, Nadiyah |
author_sort |
Rizki Suyatna, Nadiyah |
title |
MULTI-OBJECTIVE FINNED-TUBE HEAT EXCHANGER OPTIMIZATION USING A GENETIC ALGORITHM |
title_short |
MULTI-OBJECTIVE FINNED-TUBE HEAT EXCHANGER OPTIMIZATION USING A GENETIC ALGORITHM |
title_full |
MULTI-OBJECTIVE FINNED-TUBE HEAT EXCHANGER OPTIMIZATION USING A GENETIC ALGORITHM |
title_fullStr |
MULTI-OBJECTIVE FINNED-TUBE HEAT EXCHANGER OPTIMIZATION USING A GENETIC ALGORITHM |
title_full_unstemmed |
MULTI-OBJECTIVE FINNED-TUBE HEAT EXCHANGER OPTIMIZATION USING A GENETIC ALGORITHM |
title_sort |
multi-objective finned-tube heat exchanger optimization using a genetic algorithm |
url |
https://digilib.itb.ac.id/gdl/view/66403 |
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1822005147424784384 |