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

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 & REG;, 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.