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

dc.contributor.authorMaamri, Sarra
dc.contributor.authorMoussa, Amrani
dc.contributor.authorYacine, Moussaoui
dc.date.accessioned2023-04-30T08:27:02Z
dc.date.available2023-04-30T08:27:02Z
dc.date.issued2023
dc.description.abstractNowadays, 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.en_US
dc.identifier.urihttps://doi.org/10.23939/chcht17.01.141
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/11398
dc.language.isoenen_US
dc.relation.ispartofseriesChemistry & Chemical Technology Vol. 17, N°1(2023);pp. 141–153
dc.subjectwaste activated sludgeen_US
dc.subjectOlive mill wastewateren_US
dc.subjectCattle manureen_US
dc.subjectResponse surface methodologyen_US
dc.subjectAnaerobic co-digestionen_US
dc.titleDevelopment of a statistical model to predict methane production from waste activated sludge co-digested with olive mill wastewater and cattle dung by response surface methodologyen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
MAAMRI SARA.pdf
Size:
986.97 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: