Literature DB >> 24486939

Anaerobic digestion characteristics of pig manures depending on various growth stages and initial substrate concentrations in a scaled pig farm in Southern China.

Wanqin Zhang1, Qianqian Lang2, Shubiao Wu3, Wei Li4, Hamidou Bah5, Renjie Dong4.   

Abstract

The characteristics of anaerobic digestion of pig manure from different growth stages were investigated. According to growth stage, batch experiments were performed using gestating sow manure (GSM), swine nursery with post-weaned piglet manure (SNM), growing fattening manure (GFM) and mixed manure (MM) as substrates at four substrate concentrations (40, 50, 65 and 80gVS/L) under mesophilic conditions. The maximum methane yields of MM, SNM, GSM and GFM were 354.7, 328.7, 282.4 and 263.5mLCH4/gVSadded, respectively. Volatile fatty acids/total inorganic carbon (VFA/TIC) ratio increased from 0.10 to 0.89 when loading increased from 40 to 80gVS/L for GFM. The modified Gompertz model shows a better fit to the experimental results than the first order model with a lower difference between measured and predicted methane yields. The kinetic parameters indicated that the methane production curve on the basis of differences in biodegradability of the pig manure at different growth stages.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anaerobic digestion; Growth stage; Kinetic study; Pig manure

Mesh:

Substances:

Year:  2014        PMID: 24486939     DOI: 10.1016/j.biortech.2014.01.013

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


  2 in total

1.  Effect of microscale ZVI/magnetite on methane production and bioavailability of heavy metals during anaerobic digestion of diluted pig manure.

Authors:  Yue-Gan Liang; Xiu-Juan Li; Jin Zhang; Li-Gan Zhang; Beijiu Cheng
Journal:  Environ Sci Pollut Res Int       Date:  2017-03-29       Impact factor: 4.223

2.  Prediction of the Long-Term Effect of Iron on Methane Yield in an Anaerobic Membrane Bioreactor Using Bayesian Network Meta-Analysis.

Authors:  Dawei Yu; Yushuai Liang; Rathmalgodagei Thejani Nilusha; Tharindu Ritigala; Yuansong Wei
Journal:  Membranes (Basel)       Date:  2021-01-31
  2 in total

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