Pinch analysis approach to energy planning using weighted composite quality index

Pinch Analysis has evolved over the past four decades from a methodology originally developed for optimising energy efficiency of industrial plants. Applications of Pinch Analysis applications are based on common principles of using stream quantity (e.g., enthalpy) and quality (e.g., temperature) to...

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Main Authors: Patole, Mayuresh, Tan, Raymond Girard R., Bandyopadhyay, Santanu, Foo, Dominic C. Y.
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Published: Animo Repository 2016
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/3331
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-43252021-05-05T06:35:04Z Pinch analysis approach to energy planning using weighted composite quality index Patole, Mayuresh Tan, Raymond Girard R. Bandyopadhyay, Santanu Foo, Dominic C. Y. Pinch Analysis has evolved over the past four decades from a methodology originally developed for optimising energy efficiency of industrial plants. Applications of Pinch Analysis applications are based on common principles of using stream quantity (e.g., enthalpy) and quality (e.g., temperature) to determine optimal system targets. This targeting step identifies the Pinch Point, which facilitates problem decomposition for subsequent network design. One important class of Pinch Analysis problems is energy planning with footprint constraints. This area of work began with the development of Carbon Emissions Pinch Analysis (CEPA), where energy sources and demands are characterized by carbon footprint as the quality index. This methodology has been extended by using alternative quality indexes, such as water footprint, land footprint, emergy transformity, inoperability risk, energy return on investment (EROI) and human fatalities. Despite such developments, these Pinch Analysis variants have the limitation of being able to use one quality index at a time. To date, attempts at developing multiple-index Pinch Analysis methods have only been partially successful. In this work, a multiple-index Pinch Analysis method is developed by using a composite quality index; the latter is assumed to be a weighted linear function of different quality indexes normally used in energy planning, as discussed previously. The weights used to compute the composite index are determined via the Analytic Hierarchy Process (AHP). A case study adapted from a literature example is solved to illustrate this approach. Copyright © 2016, AIDIC Servizi S.r.l. 2016-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/3331 info:doi/10.3303/CET1652161 Faculty Research Work Animo Repository Energy consumption Energy policy 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 policy
Energy consumption—Forecasting
Chemical Engineering
spellingShingle Energy consumption
Energy policy
Energy consumption—Forecasting
Chemical Engineering
Patole, Mayuresh
Tan, Raymond Girard R.
Bandyopadhyay, Santanu
Foo, Dominic C. Y.
Pinch analysis approach to energy planning using weighted composite quality index
description Pinch Analysis has evolved over the past four decades from a methodology originally developed for optimising energy efficiency of industrial plants. Applications of Pinch Analysis applications are based on common principles of using stream quantity (e.g., enthalpy) and quality (e.g., temperature) to determine optimal system targets. This targeting step identifies the Pinch Point, which facilitates problem decomposition for subsequent network design. One important class of Pinch Analysis problems is energy planning with footprint constraints. This area of work began with the development of Carbon Emissions Pinch Analysis (CEPA), where energy sources and demands are characterized by carbon footprint as the quality index. This methodology has been extended by using alternative quality indexes, such as water footprint, land footprint, emergy transformity, inoperability risk, energy return on investment (EROI) and human fatalities. Despite such developments, these Pinch Analysis variants have the limitation of being able to use one quality index at a time. To date, attempts at developing multiple-index Pinch Analysis methods have only been partially successful. In this work, a multiple-index Pinch Analysis method is developed by using a composite quality index; the latter is assumed to be a weighted linear function of different quality indexes normally used in energy planning, as discussed previously. The weights used to compute the composite index are determined via the Analytic Hierarchy Process (AHP). A case study adapted from a literature example is solved to illustrate this approach. Copyright © 2016, AIDIC Servizi S.r.l.
format text
author Patole, Mayuresh
Tan, Raymond Girard R.
Bandyopadhyay, Santanu
Foo, Dominic C. Y.
author_facet Patole, Mayuresh
Tan, Raymond Girard R.
Bandyopadhyay, Santanu
Foo, Dominic C. Y.
author_sort Patole, Mayuresh
title Pinch analysis approach to energy planning using weighted composite quality index
title_short Pinch analysis approach to energy planning using weighted composite quality index
title_full Pinch analysis approach to energy planning using weighted composite quality index
title_fullStr Pinch analysis approach to energy planning using weighted composite quality index
title_full_unstemmed Pinch analysis approach to energy planning using weighted composite quality index
title_sort pinch analysis approach to energy planning using weighted composite quality index
publisher Animo Repository
publishDate 2016
url https://animorepository.dlsu.edu.ph/faculty_research/3331
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