A mathematical model for water and energy networks

Mathematical programming is one the most used techniques in process integration, especially in water and energy network designs. Unlike conceptual and graphical approaches, mathematical programming is a better option in dealing with complex industrial water and energy systems, involving multiple con...

Full description

Saved in:
Bibliographic Details
Main Author: Abbasi, Mohammad Reza
Format: Thesis
Language:English
Published: 2013
Subjects:
Online Access:http://eprints.utm.my/id/eprint/54922/25/MohammadRezaAbbasi2013_AMathematicaMmodelForWaterAnEnergy.pdf
http://eprints.utm.my/id/eprint/54922/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:89701
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.54922
record_format eprints
spelling my.utm.549222020-11-15T09:49:10Z http://eprints.utm.my/id/eprint/54922/ A mathematical model for water and energy networks Abbasi, Mohammad Reza TP Chemical technology Mathematical programming is one the most used techniques in process integration, especially in water and energy network designs. Unlike conceptual and graphical approaches, mathematical programming is a better option in dealing with complex industrial water and energy systems, involving multiple contaminants and mass transfer based and non-mass transfer based operations. This thesis presents the development of a mathematical model for minimum water and energy networks considering direct heat transfer. The approach optimizes a superstructure which represents a set of all potential water minimisation arrangements together with direct heat transfer options and water and energy network configurations in a process system. The model has been set to minimize fresh water and energy consumption, cost applied to the system and wastewater discharged from the system. The model formulation is a mixed integer nonlinear program (MINLP) that is used to optimize an existing design. It considers all stages of water management hierarchy (i.e. elimination, reduction, reuse, outsourcing and regeneration) and operating cost factors simultaneously to bring about the lowest total cost. In this work fresh water contaminant concentration can be assumed as either zero or non-zero. The constraint for waste water temperature has been considered in the model. The model has been tested with a case study of a paper mill plant for retrofit case. The results show a minimization of 20.3% in annual operating costs which is roughly a 5 million dollar savings per year for the plant. The model showed that 97.96% reduction in wastewater generation and 60.2 % in utility consumption is achievable in compare with the previous graphical method. This shows that the model is very beneficial for the retrofit of industrial water and energy networks. 2013-05 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/54922/25/MohammadRezaAbbasi2013_AMathematicaMmodelForWaterAnEnergy.pdf Abbasi, Mohammad Reza (2013) A mathematical model for water and energy networks. Masters thesis, Universiti Teknologi Malaysia, Faculty of Chemical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:89701
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Abbasi, Mohammad Reza
A mathematical model for water and energy networks
description Mathematical programming is one the most used techniques in process integration, especially in water and energy network designs. Unlike conceptual and graphical approaches, mathematical programming is a better option in dealing with complex industrial water and energy systems, involving multiple contaminants and mass transfer based and non-mass transfer based operations. This thesis presents the development of a mathematical model for minimum water and energy networks considering direct heat transfer. The approach optimizes a superstructure which represents a set of all potential water minimisation arrangements together with direct heat transfer options and water and energy network configurations in a process system. The model has been set to minimize fresh water and energy consumption, cost applied to the system and wastewater discharged from the system. The model formulation is a mixed integer nonlinear program (MINLP) that is used to optimize an existing design. It considers all stages of water management hierarchy (i.e. elimination, reduction, reuse, outsourcing and regeneration) and operating cost factors simultaneously to bring about the lowest total cost. In this work fresh water contaminant concentration can be assumed as either zero or non-zero. The constraint for waste water temperature has been considered in the model. The model has been tested with a case study of a paper mill plant for retrofit case. The results show a minimization of 20.3% in annual operating costs which is roughly a 5 million dollar savings per year for the plant. The model showed that 97.96% reduction in wastewater generation and 60.2 % in utility consumption is achievable in compare with the previous graphical method. This shows that the model is very beneficial for the retrofit of industrial water and energy networks.
format Thesis
author Abbasi, Mohammad Reza
author_facet Abbasi, Mohammad Reza
author_sort Abbasi, Mohammad Reza
title A mathematical model for water and energy networks
title_short A mathematical model for water and energy networks
title_full A mathematical model for water and energy networks
title_fullStr A mathematical model for water and energy networks
title_full_unstemmed A mathematical model for water and energy networks
title_sort mathematical model for water and energy networks
publishDate 2013
url http://eprints.utm.my/id/eprint/54922/25/MohammadRezaAbbasi2013_AMathematicaMmodelForWaterAnEnergy.pdf
http://eprints.utm.my/id/eprint/54922/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:89701
_version_ 1684653441721303040
score 13.18916