Statistical optimization of mixture ratio and particle size for dry co-digestion of food waste and manure by response surface methodology

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• 作者：Si-Kyung Cho (196)
  Dong-Hoon Kim (296)
  Yeo-Myeong Yun (196)
  Kyung-Won Jung (196)
  Hang-Sik Shin (196)
  Sae-Eun Oh (396)
  
• 关键词：Dry Co ; digestion ; Food Waste ; Manure ; Mixture Ratio ; Response Surface Methodology (RSM)
• 刊名：Korean Journal of Chemical Engineering
• 出版年：2013
• 出版时间：July 2013
• 年：2013
• 卷：30
• 期：7
• 页码：1493-1496
• 全文大小：846KB
• 参考文献：1. / Management of organic wastes, Ministry of Environment, Korea (2009).
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• 作者单位：Si-Kyung Cho (196)
  Dong-Hoon Kim (296)
  Yeo-Myeong Yun (196)
  Kyung-Won Jung (196)
  Hang-Sik Shin (196)
  Sae-Eun Oh (396)
  
  196. Department of Civil and Environmental Engineering, KAIST, 373-1, Guseong-dong, Yuseong-gu, Daejeon, 305-701, Korea
  296. Clean Fuel Department, Korea Institute of Energy and Research, 102 Gajeong-ro, Yuseong-gu, Daejeon, 305-343, Korea
  396. Department of Environmental Engineering, Hanbat National University, San 16-1, Duckmyoung-dong, Yuseong-gu, Daejeon, 305-719, Korea
  

文摘

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 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 VS added of MPY was anticipated under optimum conditions with 94.4% of desirability.