EconPapers    
Economics at your fingertips  
 

Modeling the Methane Production Kinetics of Anaerobic Co-Digestion of Agricultural Wastes Using Sigmoidal Functions

Huayong Zhang, Di An, Yudong Cao, Yonglan Tian and Jinxian He
Additional contact information
Huayong Zhang: Research Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing 102206, China
Di An: Research Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing 102206, China
Yudong Cao: Research Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing 102206, China
Yonglan Tian: Research Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing 102206, China
Jinxian He: Research Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing 102206, China

Energies, 2021, vol. 14, issue 2, 1-12

Abstract: The modified sigmoidal bacteria growth functions (the modified Gompertz, logistic, and Richards) were used to evaluate the methane production process kinetics of agricultural wastes. The mesophilic anaerobic co-digestion experiments were conducted with various agricultural wastes as feedstocks, including cow manure, corn straw, grape leaves, vines, wine residue, strawberry leaves, and tomato leaves. The results showed that anaerobic co-digestion of cow manure and other agricultural wastes increased the methane yields while it prolonged the lag phase time. Compared with the modified Gompertz and logistic models, the modified Richards model obtained higher correlation coefficients and was able to fit experimental data better. The results of this study were expected to determine a suitable model to simulate and study the kinetic process of anaerobic co-digestion with mixed agricultural wastes as feedstocks.

Keywords: anaerobic digestion; kinetic study; modified Gompertz model; modified logistic model; modified Richards model; agricultural wastes (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: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/2/258/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/2/258/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:2:p:258-:d:475279

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:258-:d:475279