Municipal solid waste higher heating value prediction from ultimate analysis using multiple regression and genetic programming techniques
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....
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA. - 1991. - 37(2019), 6 vom: 19. Juni, Seite 578-589
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1. Verfasser: |
Boumanchar, Imane
(VerfasserIn) |
Weitere Verfasser: |
Chhiti, Younes,
M'hamdi Alaoui, Fatima Ezzahrae,
Sahibed-Dine, Abdelaziz,
Bentiss, Fouad,
Jama, Charafeddine,
Bensitel, Mohammed |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2019
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Zugriff auf das übergeordnete Werk: | Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
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Schlagworte: | Journal Article
Energy
genetic programming
higher heating value
multiple regression
municipal solid waste
prediction
Solid Waste |