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In relation to this article, we declare that there is no conflict of interest.
Publication history
Received November 30, 2012
Accepted May 23, 2013
articles This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Statistical optimization of mixture ratio and particle size for dry co-digestion of food waste and manure by response surface methodology

Department of Civil and Environmental Engineering, KAIST, Guseong-dong, Yuseong-gu, Daejeon 305-701, Korea 1Clean Fuel Department, Korea Institute of Energy and Research, 102, Gajeong-ro, Yuseong-gu, Daejeon 305-343, Korea 2Department of Environmental Engineering, Hanbat National University, San 16-1, Duckmyoung-dong, Yuseong-gu, Daejeon 305-719, Korea
Korean Journal of Chemical Engineering, July 2013, 30(7), 1493-1496(4), 10.1007/s11814-013-0096-6
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Abstract

Response surface methodology has been widely applied to optimize the process. However, it was rarely applied to dry digestion. We used central composite design to optimize the anaerobic dry co-digestion of food waste and manure. Mixture ratio and particle size of food waste and manure were selected as independent variables, and target surface response was the methane production yield (MPY). BMP tests were conducted, and MPY was fitted by a secondorder_x000D_ polynomial quadratic model, which was found to be significant with higher coefficient (R2=0.98). As results of F-value analysis, the mixture ratio was found to be more important than particle size. Finally, the optimum conditions of mixture ratio (food waste :manure=5.79 : 4.21) corresponding to 15.6 of C/N ratio and particle size 1.12 cm were determined. In addition, 313mL CH4/g VSadded of MPY was anticipated under optimum conditions with 94.4% of desirability.

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