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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Main Author: Rizki Suyatna, Nadiyah
Format: Final Project
Language:Indonesia
Subjects:
Online Access:https://digilib.itb.ac.id/gdl/view/66403
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:66403
spelling 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
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
topic Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
spellingShingle Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
Rizki Suyatna, Nadiyah
MULTI-OBJECTIVE FINNED-TUBE HEAT EXCHANGER OPTIMIZATION USING A GENETIC ALGORITHM
description 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.
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
_version_ 1822005147424784384