Evaluation of Biochemical Methane Potential and Kinetics on the Anaerobic Digestion of Vegetable Crop Residues

Pengfei Li, Wenzhe Li, Mingchao Sun, Xiang Xu, Bo Zhang and Yong Sun
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Pengfei Li: Department of Agriculture Biological Environment and Energy Engineering, School of Engineering, Northeast Agriculture University, Harbin 150030, China
Wenzhe Li: Department of Agriculture Biological Environment and Energy Engineering, School of Engineering, Northeast Agriculture University, Harbin 150030, China
Mingchao Sun: Department of Agriculture Biological Environment and Energy Engineering, School of Engineering, Northeast Agriculture University, Harbin 150030, China
Xiang Xu: Department of Agriculture Biological Environment and Energy Engineering, School of Engineering, Northeast Agriculture University, Harbin 150030, China
Bo Zhang: Department of Agriculture Biological Environment and Energy Engineering, School of Engineering, Northeast Agriculture University, Harbin 150030, China
Yong Sun: Department of Agriculture Biological Environment and Energy Engineering, School of Engineering, Northeast Agriculture University, Harbin 150030, China

Energies, 2018, vol. 12, issue 1, 1-14

Abstract: There is a lack of literature reporting the measurement and prediction of biochemical methane potential (BMP) of vegetable crop residues (VCRs) and similarly, the kinetic assessment on the anaerobic digestion process of VCR is rarely investigated. In this paper, the BMP tests of five different vegetable (snap bean, capsicum, cucumber, eggplant, and tomato) crop residues were conducted at feed to inoculum ratio (F/I) of 2.0 under mesophilic (36 ± 1 °C) conditions. A series of single-variable and multiple-variable regression models were built based on organic components (hemicellulose, cellulose, lignin, total fat, total sugar, and crude protein) for BMP prediction. Three kinetic models, including the first-order kinetic model, the Chen and Hashimoto model, and the modified Gompertz model, were used to simulate the methane yield results of VCR and obtain valuable model parameters simultaneously. As a result, the BMPs and volatile solids (VS) degradation degree of different VCRs were respectively in the range of 94.2–146.8 mL g −1 VS and 40.4–49.9%; the regression prediction models with variables lignin (R 2 = 0.704, p = 0.076), variables crude protein and lignin (R 2 = 0.976, p = 0.048), and variables total fat, hemicellulose, and lignin (R 2 = 0.999, p = 0.027) showed the best performance on BMP prediction among the single-factor, two-factor, and three-factor models, respectively. In addition, compared to the other two kinetic models, the modified Gompertz model could be excellently fitted (R 2 = 0.986–0.998) to the results of BMP experiment, verification deviations within 0.3%.

Keywords: anaerobic digestion; biochemical methane potential (BMP); vegetable crop residues; regression model; kinetic model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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