Literature DB >> 33388599

Binary and ternary trace elements to enhance anaerobic digestion of cattle manure: Focusing on kinetic models for biogas production and digestate utilization.

Kaijun Wang1, Sining Yun2, Tian Xing3, Bingjie Li3, Yasir Abbas3, Xinming Liu3.   

Abstract

The effects of binary and ternary trace elements (TEs) (Fe/Co, Fe/Ni, and Fe/Co/Ni) on the anaerobic digestion (AD) of cattle manure were investigated using kinetic models (first-order, logistic, modified Gompertz, and Coats-Redfern) and experimental measurements. Binary and ternary TEs can significantly improve the biogas production rate and yield potential. The deviation between the predicted and measured data for biogas yield with logistic model (2.1%-5.3%) and modified Gompertz model (0.32%-2.9%) was smaller than that with first-order kinetic model (6.9%-9.9%). The Coats-Redfern model fitting indicated that the activation energy of digestates with trace elements during pyrolysis was reduced by 3.9%-26.2% compared with the control group. Meanwhile, digestates with TEs showed remarkable fertility (5.72%-5.95%). The combination of kinetic models and experimental measurements can effectively quantify the effect of TEs on AD performance and provide an informed choice for industrial production.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anaerobic digestion; Fertility; Kinetic model; Thermal analysis; Trace elements

Year:  2020        PMID: 33388599     DOI: 10.1016/j.biortech.2020.124571

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  2 in total

Review 1.  Overview on agricultural potentials of biogas slurry (BGS): applications, challenges, and solutions.

Authors:  Ajay Kumar; Lahur Mani Verma; Satyawati Sharma; Neetu Singh
Journal:  Biomass Convers Biorefin       Date:  2022-01-04       Impact factor: 4.050

2.  Performance and mechanism of conductive magnetite particle-enhanced excess sludge anaerobic digestion for biogas recovery.

Authors:  Xiaorong Kang; Yali Liu
Journal:  RSC Adv       Date:  2021-11-04       Impact factor: 3.361

  2 in total

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