Multi-objective pinch analysis with multiple resources

Pinch Analysis is an optimization technique that has been applied to a wide array of problems ranging from water networks to power systems. In general, Pinch Analysis is applied to single objective optimization problems. A characterizing parameter, called prioritized cost, has been developed to iden...

Full description

Saved in:
Bibliographic Details
Main Authors: Priya, Govindankutty S. Krishna, Bandyopadhyay, Santanu, Tan, Raymond Girard R.
Format: text
Published: Animo Repository 2015
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/3868
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-4328
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:faculty_research-43282021-05-17T00:13:24Z Multi-objective pinch analysis with multiple resources Priya, Govindankutty S. Krishna Bandyopadhyay, Santanu Tan, Raymond Girard R. Pinch Analysis is an optimization technique that has been applied to a wide array of problems ranging from water networks to power systems. In general, Pinch Analysis is applied to single objective optimization problems. A characterizing parameter, called prioritized cost, has been developed to identify a cost optimal solution with multiple resources. In this work, Pinch Analysis is extended to address multi-objective Pinch Analysis problems with multiple resources. This is achieved by assigning a weighting factor to each objective and calculating the prioritized cost based on this variable. As the weighted prioritized cost is a linear function, it is possible to identify key values of the weighting factor where the order of priorities shifts. This greatly reduces the complexity of the problem and makes it possible to identify all the viable resource combinations. The plots of prioritized cost as a function of weighting factor can be obtained for any number of available resources. Using the prioritizing order given by these plots, Pinch Analysis can be extended to solving multi-objective optimization problems. The proposed methodology is demonstrated using the Indian power sector as an example with objectives to simultaneously minimize the capital investment and emission of oxides of nitrogen while keeping the carbon dioxide emission within prescribed limits. Copyright © 2015, AIDIC Servizi S.r.l.,. 2015-10-10T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/3868 info:doi/10.3303/CET1545138 Faculty Research Work Animo Repository Energy consumption Energy consumption—Forecasting Chemical Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Energy consumption
Energy consumption—Forecasting
Chemical Engineering
spellingShingle Energy consumption
Energy consumption—Forecasting
Chemical Engineering
Priya, Govindankutty S. Krishna
Bandyopadhyay, Santanu
Tan, Raymond Girard R.
Multi-objective pinch analysis with multiple resources
description Pinch Analysis is an optimization technique that has been applied to a wide array of problems ranging from water networks to power systems. In general, Pinch Analysis is applied to single objective optimization problems. A characterizing parameter, called prioritized cost, has been developed to identify a cost optimal solution with multiple resources. In this work, Pinch Analysis is extended to address multi-objective Pinch Analysis problems with multiple resources. This is achieved by assigning a weighting factor to each objective and calculating the prioritized cost based on this variable. As the weighted prioritized cost is a linear function, it is possible to identify key values of the weighting factor where the order of priorities shifts. This greatly reduces the complexity of the problem and makes it possible to identify all the viable resource combinations. The plots of prioritized cost as a function of weighting factor can be obtained for any number of available resources. Using the prioritizing order given by these plots, Pinch Analysis can be extended to solving multi-objective optimization problems. The proposed methodology is demonstrated using the Indian power sector as an example with objectives to simultaneously minimize the capital investment and emission of oxides of nitrogen while keeping the carbon dioxide emission within prescribed limits. Copyright © 2015, AIDIC Servizi S.r.l.,.
format text
author Priya, Govindankutty S. Krishna
Bandyopadhyay, Santanu
Tan, Raymond Girard R.
author_facet Priya, Govindankutty S. Krishna
Bandyopadhyay, Santanu
Tan, Raymond Girard R.
author_sort Priya, Govindankutty S. Krishna
title Multi-objective pinch analysis with multiple resources
title_short Multi-objective pinch analysis with multiple resources
title_full Multi-objective pinch analysis with multiple resources
title_fullStr Multi-objective pinch analysis with multiple resources
title_full_unstemmed Multi-objective pinch analysis with multiple resources
title_sort multi-objective pinch analysis with multiple resources
publisher Animo Repository
publishDate 2015
url https://animorepository.dlsu.edu.ph/faculty_research/3868
_version_ 1767195879964409856