Optimal design of heat recovery system

High energy usage has been a huge problem in all areas of the chemical industry. With the growing awareness of green engineering, energy usage needs to be reduced by some means. This study explains how energy usage is reduced through atechnique called process integration which is achieved through ma...

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Main Author: Azri, Marmoh
Format: Undergraduates Project Papers
Language:English
Published: 2013
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/7054/1/Optimal%20design%20of%20heat%20recovery%20system.pdf
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author Azri, Marmoh
author_facet Azri, Marmoh
author_sort Azri, Marmoh
collection UMP
description High energy usage has been a huge problem in all areas of the chemical industry. With the growing awareness of green engineering, energy usage needs to be reduced by some means. This study explains how energy usage is reduced through atechnique called process integration which is achieved through mathematical programming. Software called Generalized Algebraic Modeling System (GAMS) is used to do the mathematical programming. Although many methods can be used, this paper covers the usage of Linear Programming (LP) to reduce energy usage. An ethylbenzene plant in Korea was used as a case study (Yoon et al., 2007) to verify the model developed. Transportation model was used as the mathematical model to solve this problem. The procedures involved 3 steps, (1) data extraction from the process data, (2) superstructure representation, and (3) mathematical modeling. The simulation results produced by GAMS were analysed based on three important criteria to select the valid match ups between hot streams and cold streams. As a result, usage of cooling and heating utility was reduced by 79.3% and 28.2% respectively.
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spelling UMPir70542023-10-19T03:47:21Z http://umpir.ump.edu.my/id/eprint/7054/ Optimal design of heat recovery system Azri, Marmoh TJ Mechanical engineering and machinery High energy usage has been a huge problem in all areas of the chemical industry. With the growing awareness of green engineering, energy usage needs to be reduced by some means. This study explains how energy usage is reduced through atechnique called process integration which is achieved through mathematical programming. Software called Generalized Algebraic Modeling System (GAMS) is used to do the mathematical programming. Although many methods can be used, this paper covers the usage of Linear Programming (LP) to reduce energy usage. An ethylbenzene plant in Korea was used as a case study (Yoon et al., 2007) to verify the model developed. Transportation model was used as the mathematical model to solve this problem. The procedures involved 3 steps, (1) data extraction from the process data, (2) superstructure representation, and (3) mathematical modeling. The simulation results produced by GAMS were analysed based on three important criteria to select the valid match ups between hot streams and cold streams. As a result, usage of cooling and heating utility was reduced by 79.3% and 28.2% respectively. 2013 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/7054/1/Optimal%20design%20of%20heat%20recovery%20system.pdf Azri, Marmoh (2013) Optimal design of heat recovery system. Faculty of Chemical & Natural Resources Engineering, Universiti Malaysia Pahang.
spellingShingle TJ Mechanical engineering and machinery
Azri, Marmoh
Optimal design of heat recovery system
title Optimal design of heat recovery system
title_full Optimal design of heat recovery system
title_fullStr Optimal design of heat recovery system
title_full_unstemmed Optimal design of heat recovery system
title_short Optimal design of heat recovery system
title_sort optimal design of heat recovery system
topic TJ Mechanical engineering and machinery
url http://umpir.ump.edu.my/id/eprint/7054/1/Optimal%20design%20of%20heat%20recovery%20system.pdf
work_keys_str_mv AT azrimarmoh optimaldesignofheatrecoverysystem