Municipal solid waste higher heating value ...
Type de document :
Article dans une revue scientifique: Article original
DOI :
URL permanente :
Titre :
Municipal solid waste higher heating value prediction from ultimate analysis using multiple regression and genetic programming techniques
Auteur(s) :
Boumanchar, Imane [Auteur]
Université Chouaib Doukkali [UCD]
Chhiti, Younes [Auteur]
Université Chouaib Doukkali [UCD]
M’hamdi Alaoui, Fatima Ezzahrae [Auteur]
Université Chouaib Doukkali [UCD]
Sahibed-dine, Abdelaziz [Auteur]
Université Chouaib Doukkali [UCD]
Bentiss, Fouad [Auteur]
Université Chouaib Doukkali [UCD]
Jama, charafeddine [Auteur]
Unité Matériaux et Transformations - UMR 8207 [UMET]
Bensitel, Mohammed [Auteur]
Université Chouaib Doukkali [UCD]
Université Chouaib Doukkali [UCD]
Chhiti, Younes [Auteur]
Université Chouaib Doukkali [UCD]
M’hamdi Alaoui, Fatima Ezzahrae [Auteur]
Université Chouaib Doukkali [UCD]
Sahibed-dine, Abdelaziz [Auteur]
Université Chouaib Doukkali [UCD]
Bentiss, Fouad [Auteur]
Université Chouaib Doukkali [UCD]
Jama, charafeddine [Auteur]
Unité Matériaux et Transformations - UMR 8207 [UMET]
Bensitel, Mohammed [Auteur]
Université Chouaib Doukkali [UCD]
Titre de la revue :
Waste Management & Research
Nom court de la revue :
Waste Manag Res
Numéro :
37
Pagination :
578-589
Éditeur :
SAGE Publications
Date de publication :
2018-12-19
Discipline(s) HAL :
Chimie/Matériaux
Chimie/Polymères
Chimie/Polymères
Résumé en anglais : [en]
Municipal solid waste (MSW) management presents an important challenge for all countries. In order to exploit them as a source of energy, a knowledge of their calorific value is essential. In fact, it can be experimentally ...
Lire la suite >Municipal solid waste (MSW) management presents an important challenge for all countries. In order to exploit them as a source of energy, a knowledge of their calorific value is essential. In fact, it can be experimentally measured by an oxygen bomb calorimeter. This process is, however, expensive. In this light, the purpose of this paper was to develop empirical models for the prediction of MSW higher heating value (HHV) from ultimate analysis. Two methods were used: multiple regression analysis and genetic programming formalism. Both techniques gave good results. Genetic programming, however, provides more accuracy compared to published works in terms of a great correlation coefficient (CC) and a low root mean square error (RMSE).Lire moins >
Lire la suite >Municipal solid waste (MSW) management presents an important challenge for all countries. In order to exploit them as a source of energy, a knowledge of their calorific value is essential. In fact, it can be experimentally measured by an oxygen bomb calorimeter. This process is, however, expensive. In this light, the purpose of this paper was to develop empirical models for the prediction of MSW higher heating value (HHV) from ultimate analysis. Two methods were used: multiple regression analysis and genetic programming formalism. Both techniques gave good results. Genetic programming, however, provides more accuracy compared to published works in terms of a great correlation coefficient (CC) and a low root mean square error (RMSE).Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
Université de Lille
CNRS
INRA
ENSCL
CNRS
INRA
ENSCL
Collections :
Équipe(s) de recherche :
Ingénierie des Systèmes Polymères
Date de dépôt :
2020-07-09T17:27:37Z
2020-08-26T08:43:13Z
2020-08-26T08:43:13Z