Optimal use of condensed parameters of ultimate analysis to predict the calorific value of biomass
作者： Ayse Ozyuguran , Aysen Akturk , Serdar Yaman , None
DOI: 10.1016/J.FUEL.2017.10.082
关键词:
摘要: Abstract Higher heating value (HHV) and lower (LHV) of 39 biomass species that include woody samples, herbaceous materials, agricultural residues, juice pulps, nut shells, etc. were predicted based on elemental analysis results. Simple linear equations developed in which C, H, N, S, O contents exist the prediction performance these empirical was evaluated comparing experimental values calorific according to criteria mean absolute error (MAE), average (AAE), bias (ABE). For this purpose, parameters changing from only C sum tested compare each additional parameter. It concluded that, use two including carbon extra one element either nitrogen or oxygen is optimal predict value. These condensed forms ultimate analysis-based gave r2 range 0.9219–0.9572. Improving effects are rather limited addition H S did not lead so significant improvement performance.
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