Journal of Smart Processing
Online ISSN : 2187-1337
Print ISSN : 2186-702X
ISSN-L : 2186-702X
Estimation of Biomass Calorific Values Using Feed Composition Analysis
Reiko BABATomohiro SEYAMAMasao OYAMATaizo IMOTOHirofumi HIRAYASUKoji KASAIKazuhiko NISHIMURAYasuhiro FUJITANITamio IDA
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2014 Volume 3 Issue 5 Pages 262-268

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Abstract
  Our study has object to inspect the usefulness of gross energy estimated by feed composition analysis procedure in animal husbandry, estimating easily and accurately calorific value of biomass. Fifteen kinds of biomass materials from plants, food industrial wastes, and compost from cattle wastes were analyzed to determine their component organic compounds (protein, fat, fiber and nitrogen-free extract) through ingredient analysis, and also their elemental composition (hydrogen, carbon, oxygen, and nitrogen) through elemental analysis. The actual calorific values of each material, measured by the bomb calorimeter, were compared to the estimated calorific values that were calculated from the unit calorific value of each organic element, or from the chemical elements using Dulong's formula, wherein results revealed that the former estimation method resembles the actual measurement with higher accuracy than the later.
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© 2014 Smart Processing Society for Materials, Environment & Energy
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