Title :

Municipal solid waste higher heating value prediction from ultimate analysis using multiple regression and genetic programming techniques

Author(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]

Journal title :

Waste Management & Research

Abbreviated title :

Waste Manag Res

Volume number :

37

Pages :

578-589

Publisher :

SAGE Publications

Publication date :

2018-12-19

HAL domain(s) :

Chimie/Matériaux
Chimie/Polymères

English abstract : [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 ...
Show more >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).Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
CNRS
INRA
ENSCL

Collections :

• Unité Matériaux et Transformations (UMET) - UMR 8207

Research team(s) :

Ingénierie des Systèmes Polymères

Submission date :

2020-07-09T17:27:37Z
2020-08-26T08:43:13Z