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Received November 30, 2012
Accepted May 23, 2013
- 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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Lu J, Gavala HN, Skiadas IV, Mladenovska Z, Ahring BK, J. Environ. Manage., 88(4), 1361 (2008)
Luning L, Van Zundert EHM, Brinkmann AJK, Water Sci. Technol., 48(4), 15 (2003)
Li Y, Park SY, Zhu J, Renew. Sust. Energy Rev., 15, 821 (2011)
Kim IS, Kim D, Hyun SH, Water Sci. Technol., 41(3), 67 (2000)
Sung S, Liu T, Chemosphere., 53, 43 (2003)
Kuo WC, Cheng KY, Bioresour. Technol., 98(9), 1805 (2007)
Nielsen HB, Angelidaki I, Bioresour. Technol., 99(17), 7995 (2008)
Mshandete A, Bjornsson L, Kivalisi AK, Rubindamayugi MST, Mattiasson B, Renew. Energy., 31, 2385 (2006)
Izumi K, Okishio YK, Nagao N, Niwa C, Yamamoto S, Toda T, Int. Biodeter. Biodegr., 64(7), 601 (2010)
Riano B, Molinuevo B, Garcia-Gonzalez MC, Bioresour. Technol., 102(5), 4131 (2011)
Gonzalez-Fernandez C, Molinuevo-Salces B, Garcia-Gonzalez MC, Appl. Energy, 88(10), 3448 (2011)
Li Y, Yan XL, Fan JP, Zhu JH, Zhou WB, Bioresour. Technol., 102(11), 6458 (2011)
APHA, AWWA and WEF, 20th Ed. Baltimore, American Public Health Association, 2, 57 (2008)
Jeihanipour A, Niklasson C, Taherzadeh MJ, Process Biochem., 46, 1509 (2011)
Lin CY, Lay CH, Int. J. Hydrog. Energy., 29, 41 (2004)
Kim DH, Kim SH, Kim KY, Shin HS, Int. J. Hydrog.Energy., 35, 1590 (2010)
Sreethawong T, Chatsiriwatana S, Rangsunvigit P, Chavadej S, Int. J. Hydrog. Energy., 35, 4092 (2010)
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Sharma SK, Mishra IM, Sharma MP, Saini JS, Biomass., 17, 251 (1988)
El-Mashad H, Zhang R, Am. Soc. Agr. Biol. Eng., 50(5), 1815 (2007)