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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

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