Statistical Optimization to Model Ammonia Removal During Co‐Composting of Pulp/Paper Mill Sludge and Corn Wastes

Abstract

This work presents an effective way to remove ammonium from compost using corn wastes. The study examined the role of experimental factors on the removal of ammonium using a full factor experimental design. The experimental factors and their related levels selected were as follows: Material type (corn cob and corn husk), ratio (10 and 25%), moisture (50 and 70%), and finally duration (30 and 60 days). The results were evaluated with an ANOVA test. A regression model that took into account the significant main and interaction effects was suggested. According to the optimization algorithm, the optimum levels were corn cob, 25% ratio, 50% moisture, and 60-day duration, with a removal efficiency of 91.84%. The proposed procedure is simple to implement and cost-effective.Abbreviations: FFED, full factor experimental design. 1572

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“…(2013) Full Factorial experimental design (ANOVA- test) Pulp and paper mill sludge Composting time, moisture, addition of hazelnut kernels NH 4 + Removal 60% removal of ammonium at 50% moisture,25% Kernel in 5 weeks Aycan et al. (2014) Full factorial design (statistical) Papermill (sludge), corn Process duration, Cornhusk, corn cob, moisture, material ratio NH 4 + Removal 91.84% removal of ammonia Aycan and Turan (2016) Factorial optimization cattle dung with maize/silage and peach-juice pulp pH, C/N ratio, and moisture content Optimal composting conditions. by Dewar autothermal assay R 2 = 0.8.…”