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Prediction of HHV (Higher Heating Value) of Different Biomass Samples

Kulić, Gordana, Pisinov, Boris, Golijan-Pantović, Jelena, Rakić, Sveta   +3 more
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Modeling Higher Heating Values of Lignites

Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2008
Abstract In this work, the elemental analysis results such as carbon (C), hydrogen (H), oxygen (O), nitrogen (N), and sulfur (S) were used for calculated higher heating values (HHVs) of 26 lignite samples from different areas of Turkey. The lignite samples have been tested with particle size of 0–0.05 mm.
Demirbas, A., Dincer, K.
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A simple model for estimation of higher heating value of oily sludge

Energy, 2021
Abstract Oily sludge, as a waste containing a large amount of oil within the range of 10–90 wt%, has a potential to be utilized as a source of fuel. Heating value is of utmost importance in the assessment of thermal conversion of waste to energy and/or other valuable products. The aim of the current study is to develop correlations based on proximate
Xiaoling Chen, Yongxing Zhang, Baoshen Xu, Yifan Li   +3 more
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Biochar higher heating value estimative using thermogravimetric analysis

Journal of Thermal Analysis and Calorimetry, 2019
The higher heating value (HHV) is an important parameter to indicate the energetic potential of biomass from different sources. Bomb calorimeter is the standard to obtain this data; however, in the absence of this equipment, estimative through proximate analysis aided with multiple regression formulas is an acceptable alternative. Still, this is a time-
L. C. Malucelli, G. F. Silvestre, J. Carneiro, E. C. Vasconcelos, M. Guiotoku, C. M. B. F. Maia, M. A. S. Carvalho Filho   +6 more
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Estimation of the higher heating values for lignocellulosic biofuels

2021 6th International Symposium on Environment-Friendly Energies and Applications (EFEA), 2021
This work aims at investigating the possibility to assess the higher heating value of the lignocellulosic biofuels through correlations based on the different analyses, namely ultimate, proximate and lignocellulosic. Seventeen empirical equations were applied to seven types of biofuels.
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