Depot Institutionnel de l'UMBB >
Publications Scientifiques >
Publications Internationales >
Veuillez utiliser cette adresse pour citer ce document :
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/11398
|
Titre: | Development of a statistical model to predict methane production from waste activated sludge co-digested with olive mill wastewater and cattle dung by response surface methodology |
Auteur(s): | Maamri, Sarra Moussa, Amrani Yacine, Moussaoui |
Mots-clés: | waste activated sludge Olive mill wastewater Cattle manure Response surface methodology Anaerobic co-digestion |
Date de publication: | 2023 |
Collection/Numéro: | Chemistry & Chemical Technology Vol. 17, N°1(2023);pp. 141–153 |
Résumé: | Nowadays, population growth is likely to lead
to a wide variety of biomass wastes generation from the
diversified human, industrial, and agricultural activities.
Anaerobic digestion is mostly applied to manage biomass
wastes and mitigate a huge spectrum of environmental
damages. This paper aims to enhance the anaerobic
digestion efficiency of multicomponent substrates, using a
mixture of waste activated sludge (WAS), olive mill
wastewater (OMW), and cattle manure (CM). A Response
Surface Methodology is employed in experimental design
to determine individual and interactive effects on methane
yield and chemical oxygen demand reduction. After
numerical optimization using Design Expert®, the opti-
mum values of the test factors in actual were as follows:
initial pH = 8, COD/N ratio = 47, 42, CM/WAS-OMW
ratio = 0.352, TS = 42.94 g/L. The obtained results indi-
cate that anaerobic co-digestion performance could be
achieved by optimising substrate composition to assure a
larger microbial synergistic effect. |
URI/URL: | https://doi.org/10.23939/chcht17.01.141 http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/11398 |
Collection(s) : | Publications Internationales
|
Fichier(s) constituant ce document :
|
Tous les documents dans DSpace sont protégés par copyright, avec tous droits réservés.
|