Best Suitable Cogeneration Power for Factories from Multi-Objective Data Analysis

The cogeneration systems in the industrial sector have become an essential part due to their global efficiency and reduced pollution. These systems may operate from conventional fuel sources, as well as from renewable energy sources (biomass, solar, fuel cell).

Bibliographic Details
Main Authors: Al Asmar Joseph, Kouta Raed, Laghrouche Salah, El Assad Joseph, Wack Maxime
Format: Article
Language:English
Published: Sciendo 2015-01-01
Series:Cybernetics and Information Technologies
Subjects:
Online Access:https://doi.org/10.1515/cait-2014-0009
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author Al Asmar Joseph
Kouta Raed
Laghrouche Salah
El Assad Joseph
Wack Maxime
author_facet Al Asmar Joseph
Kouta Raed
Laghrouche Salah
El Assad Joseph
Wack Maxime
author_sort Al Asmar Joseph
collection DOAJ
description The cogeneration systems in the industrial sector have become an essential part due to their global efficiency and reduced pollution. These systems may operate from conventional fuel sources, as well as from renewable energy sources (biomass, solar, fuel cell).
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spelling doaj.art-f236922020ff4b5bbb421892133ddf382022-12-21T23:56:02ZengSciendoCybernetics and Information Technologies1314-40812015-01-0114410912010.1515/cait-2014-0009Best Suitable Cogeneration Power for Factories from Multi-Objective Data AnalysisAl Asmar Joseph0Kouta Raed1Laghrouche Salah2El Assad Joseph3Wack Maxime4OPERA Laboratory, University of Technology of Belfort-Montbéliard, FranceIRTES-M3M Laboratory, University of Technology of Belfort-Montbéliard, FranceOPERA Laboratory, University of Technology of Belfort-Montbéliard, FranceFaculty of Science, Holy-Spirit University of Kaslik, LebanonOPERA Laboratory, University of Technology of Belfort-Montbéliard, FranceThe cogeneration systems in the industrial sector have become an essential part due to their global efficiency and reduced pollution. These systems may operate from conventional fuel sources, as well as from renewable energy sources (biomass, solar, fuel cell).https://doi.org/10.1515/cait-2014-0009combined heat and power (chp)energy managementgenetic algorithm (ga)sensitivity analysismultiple linear regression
spellingShingle Al Asmar Joseph
Kouta Raed
Laghrouche Salah
El Assad Joseph
Wack Maxime
Best Suitable Cogeneration Power for Factories from Multi-Objective Data Analysis
Cybernetics and Information Technologies
combined heat and power (chp)
energy management
genetic algorithm (ga)
sensitivity analysis
multiple linear regression
title Best Suitable Cogeneration Power for Factories from Multi-Objective Data Analysis
title_full Best Suitable Cogeneration Power for Factories from Multi-Objective Data Analysis
title_fullStr Best Suitable Cogeneration Power for Factories from Multi-Objective Data Analysis
title_full_unstemmed Best Suitable Cogeneration Power for Factories from Multi-Objective Data Analysis
title_short Best Suitable Cogeneration Power for Factories from Multi-Objective Data Analysis
title_sort best suitable cogeneration power for factories from multi objective data analysis
topic combined heat and power (chp)
energy management
genetic algorithm (ga)
sensitivity analysis
multiple linear regression
url https://doi.org/10.1515/cait-2014-0009
work_keys_str_mv AT alasmarjoseph bestsuitablecogenerationpowerforfactoriesfrommultiobjectivedataanalysis
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AT elassadjoseph bestsuitablecogenerationpowerforfactoriesfrommultiobjectivedataanalysis
AT wackmaxime bestsuitablecogenerationpowerforfactoriesfrommultiobjectivedataanalysis