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In situ measurements and simulation of oxygen diffusion and heat transfer in maize silage relative to the silo surface

Authors :
Christian Maack
Yurui Sun
Minzan Li
Wolfgang Buescher
Haiyang Zhou
Kerstin H. Jungbluth
Zhong-Yi Wang
André Lipski
Yuxing Fan
Qiang Cheng
Guilin Shan
Source :
Computers and Electronics in Agriculture. 137:1-8
Publication Year :
2017
Publisher :
Elsevier BV, 2017.

Abstract

In situ measurement oxygen (O2) and temperature (Tsi) for silage production.Simultaneously tracking O2 diffusion and Tsi dynamics with three packed densities.Evaluating accuracy/feasibility of Pitt-Muck model to advance silage management. Aerobic deterioration is a major concern for silage production and quality change in unloading phase. To simulate silage aerobic deterioration relative to an exposure surface of bunker silo, a partial differential equation system model including oxygen (O2) concentration, silage temperature (Tsi) rise and microbial activity was presented. There is still a need to assess the predictability of the developed model at different bulk densities (BDs). For this study, the Clark oxygen electrodes (COE) was employed for the in situ simultaneous measurements of O2 and Tsi within maize silage samples, which were packed into twelve barrels (i.d.: 35.7cm, length: 60cm, vol. 60L) at three BD levels (low: 520550kgm3; medium: 660730kgm3; high: 860950kgm3). To assure the COE to be insensitive to CO2, a cross calibration for O2 concentrations (020% vol.) was made at 15% vol. of CO2 in advance of performing the experiment. For each barrel, two of the COEs were installed at 10cm and 40cm behind the exposure surface, respectively. The model was computed taking the in situ measurements of O2 and Tsi to be targets. Our study showed general well-agreements between the model simulations and the in situ measurements of O2 and Tsi for all BD levels. Some uncertainties and relevant reasons were also addressed. Based on these results, we concluded that the model has sufficient ability to predict aerobic deterioration in silage for bunker silos being unloaded.

Details

ISSN :
01681699
Volume :
137
Database :
OpenAIRE
Journal :
Computers and Electronics in Agriculture
Accession number :
edsair.doi...........cdb6617b2367bfcd21f0b8b521f7a3c7
Full Text :
https://doi.org/10.1016/j.compag.2017.03.011