Design and optimization of heat exchanger network in olefin unit of oil refinery

The design of heat exchanger network (HEN) is an important part of the synthesis process. Optimum design of HEN can cause significant reduction in the total cost of the plant. In the mid 80’s, famous industrial companies started using a systematic approach to HEN design, called “PINCH METHOD”. This...

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Main Author:	Sharifi, Foad
Format:	Thesis
Language:	English
Published:	2015
Subjects:	T58.5-58.64 Information technology
Online Access:	http://eprints.utm.my/id/eprint/91980/1/FoadSharifiMRAZAK2015.pdf
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spelling	my-utm-ep.919802021-08-09T08:46:49Z Design and optimization of heat exchanger network in olefin unit of oil refinery 2015 Sharifi, Foad T58.5-58.64 Information technology The design of heat exchanger network (HEN) is an important part of the synthesis process. Optimum design of HEN can cause significant reduction in the total cost of the plant. In the mid 80’s, famous industrial companies started using a systematic approach to HEN design, called “PINCH METHOD”. This method, which is based on thermodynamic concept, is now the most applicable technique for HEN design. The superiority of this method over other techniques has encouraged industries to use it not only for grass root design, but also to retrofit their existing plants. This study investigates the systematic approach to retrofit an existing plant using the “Pinch Method”. The method was applied on the distillation unit of Isfahan refinery preheat train. Increasing crude oil of Isfahan refinery up to 50% has caused heat load increase at atmospheric furnace (H-101). This in fact, has created a serious operational problem. Retrofitting the preheat train network, however, makes the temperature of the crude oil entering the furnace to rise and, therefore reduces the heat load of the atmospheric furnace. Results show that it is possible to reduce the load of the atmospheric furnace up to 25% and restore the normal operational condition, only by USD 1 million investments. This implies a payback time of 9 months. On the other hand, applying the retrofitting technique to both nominal capacity (100,000 barrel) and increase capacity (150,000 barrel) show that despite significant increase, the key retrofitting variables remain almost unchanged. Therefore, the suggested retrofitting procedure for Isfahan refinery will be applicable to all capacities ranging from 100,000 barrel to 150,000 barrel. However, at a capacity higher than 150,000 barrel, the chance of inducing bottlenecks, for example at atmospheric tower hydraulic should be taken into consideration. 2015 Thesis http://eprints.utm.my/id/eprint/91980/ http://eprints.utm.my/id/eprint/91980/1/FoadSharifiMRAZAK2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:132800 masters Universiti Teknologi Malaysia, Razak Faculty of Technology and Informatics Razak Faculty of Technology and Informatics
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	T58.5-58.64 Information technology
spellingShingle	T58.5-58.64 Information technology Sharifi, Foad Design and optimization of heat exchanger network in olefin unit of oil refinery
description	The design of heat exchanger network (HEN) is an important part of the synthesis process. Optimum design of HEN can cause significant reduction in the total cost of the plant. In the mid 80’s, famous industrial companies started using a systematic approach to HEN design, called “PINCH METHOD”. This method, which is based on thermodynamic concept, is now the most applicable technique for HEN design. The superiority of this method over other techniques has encouraged industries to use it not only for grass root design, but also to retrofit their existing plants. This study investigates the systematic approach to retrofit an existing plant using the “Pinch Method”. The method was applied on the distillation unit of Isfahan refinery preheat train. Increasing crude oil of Isfahan refinery up to 50% has caused heat load increase at atmospheric furnace (H-101). This in fact, has created a serious operational problem. Retrofitting the preheat train network, however, makes the temperature of the crude oil entering the furnace to rise and, therefore reduces the heat load of the atmospheric furnace. Results show that it is possible to reduce the load of the atmospheric furnace up to 25% and restore the normal operational condition, only by USD 1 million investments. This implies a payback time of 9 months. On the other hand, applying the retrofitting technique to both nominal capacity (100,000 barrel) and increase capacity (150,000 barrel) show that despite significant increase, the key retrofitting variables remain almost unchanged. Therefore, the suggested retrofitting procedure for Isfahan refinery will be applicable to all capacities ranging from 100,000 barrel to 150,000 barrel. However, at a capacity higher than 150,000 barrel, the chance of inducing bottlenecks, for example at atmospheric tower hydraulic should be taken into consideration.
format	Thesis
qualification_level	Master's degree
author	Sharifi, Foad
author_facet	Sharifi, Foad
author_sort	Sharifi, Foad
title	Design and optimization of heat exchanger network in olefin unit of oil refinery
title_short	Design and optimization of heat exchanger network in olefin unit of oil refinery
title_full	Design and optimization of heat exchanger network in olefin unit of oil refinery
title_fullStr	Design and optimization of heat exchanger network in olefin unit of oil refinery
title_full_unstemmed	Design and optimization of heat exchanger network in olefin unit of oil refinery
title_sort	design and optimization of heat exchanger network in olefin unit of oil refinery
granting_institution	Universiti Teknologi Malaysia, Razak Faculty of Technology and Informatics
granting_department	Razak Faculty of Technology and Informatics
publishDate	2015
url	http://eprints.utm.my/id/eprint/91980/1/FoadSharifiMRAZAK2015.pdf
_version_	1747818548042924032

Design and optimization of heat exchanger network in olefin unit of oil refinery

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