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http://dx.doi.org/10.17137/Korrae.2013.21.2.88

Statistical Evaluation of Sigmoidal and First-Order Kinetic Equations for Simulating Methane Production from Solid Wastes  

Lee, Nam-Hoon (Department of Environmental and Energy Engineering, Anyang University)
Park, Jin-Kyu (Ecowillplus Co, Ltd.)
Jeong, Sae-Rom (Department of Environmental and Energy Engineering, Anyang University)
Kang, Jeong-Hee (Department of Environmental and Energy Engineering, Anyang University)
Kim, Kyung (Department of Environmental and Energy Engineering, Anyang University)
Publication Information
Journal of the Korea Organic Resources Recycling Association / v.21, no.2, 2013 , pp. 88-96 More about this Journal
Abstract
The objective of this research was to evaluate the suitability of sigmoidal and firstorder kinetic equations for simulating the methane production from solid wastes. The sigmoidal kinetic equations used were modified Gompertz and Logistic equations. Statistical criteria used to evaluate equation performance were analysis of goodness-of-fit (Residual sum of squares, Root mean squared error and Akaike's Information Criterion). Akaike's Information Criterion (AIC) was employed to compare goodness-of-fit of equations with same and different numbers of parameters. RSS and RMSE were decreased for first-order kinetic equation with lag-phase time, compared to the first-order kinetic equation without lag-phase time. However, first-order kinetic equations had relatively higher AIC than the sigmoidal kinetic equations. It seemed that the sigmoidal kinetic equations had better goodness-of-fit than the first-order kinetic equations in order to simulate the methane production.
Keywords
Solid wastes; Methane production; Sigmoidal kinetic equation; First-order kinetic equation; Goodness-of-fit;
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Times Cited By KSCI : 3  (Citation Analysis)
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