Calorific value estimation of biomass from their proximate analyses data.
作者： Melike Erol , H Haykiri-Acma , S Küçükbayrak , None
DOI: 10.1016/J.RENENE.2009.05.008
关键词:
摘要: Different 13 new formulae have been developed for estimating the calorific values of 20 different biomass samples from their proximate analyses data. In order to obtain these formulae, types were analyzed determine and analyses. The measured net heating varied between 15.41 19.52 MJ/kg. All correlations by means least squares regression Regression coefficients range 0.829 0.898. Standard deviations determined are 0.4419 0.5280.
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