Results 261 to 270 of about 3,001,574 (344)

RETRACTED ARTICLE: Machine learning prediction of higher heating value of biomass

Biomass Conversion and Biorefinery, 2021
Zuocai Dai, Zhengxian Chen, Abdellatif Selmi, Kittisak Jermsittiparsert, Nebojša M. Denić, Zoran Nеšić   +5 more
openaire   +2 more sources

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.
openaire   +1 more source

Machine learning approach for categorical biomass higher heating value prediction based on proximate analysis

Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2022
The present study attempts a new approach for optimizing higher heating value (HHV) of agricultural biomass from only proximate analysis data, thereby requiring nominal specificity compared to elemental composition-based models.
Richa Dubey, Velmathi Guruviah
semanticscholar   +1 more source

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.
openaire   +1 more source

Prediction of pyrolysis oils higher heating value with gas chromatography–mass spectrometry [PDF]

Fuel, 2012
Abstract This paper deals with a new method to calculate the higher heating value (HHV) of pyrolysis oils by using the analysis results of their gas chromatography–mass spectrometry or high-pressure liquid chromatography. This new method is called “GC–MS method” or “GCM”.
Fassinou, Wanignon Ferdinand, Van de Steene, Laurent, Koua Kamenan, Blaise, Toure, Siaka   +3 more
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Higher Heating Values of Different Pyrolysis Liquids

2010
Meat and bone meal (MBM) and sewage sludge (SS) were the two raw materials used in this research. Every pyrolysis liquids obtained had different elemental analysis due to the raw material and the operational conditions used. Liquids obtained from meat and bone meal pyrolysis had one phase with a low water contained, whereas liquids obtained from sewage
Cascarosa, E., Azuara, M., Mesa, J.M., Murillo, M.B., Arauzo, J.   +4 more
openaire   +1 more source

Evaluasi Prediksi Higher Heating Value (HHV) Biomassa Berdasarkan Analisis Proksimat

Risalah Fisika, 2020
Abstrak – Biomassa merupakan salah satu energi terbarukan yang sangat mudah ditemui, ramah lingkungan dan cukup ekonomis. Keberadaan biomassa dapat dimaanfaatkan sebagai pengganti bahan bakar fosil, baik itu minyak bumi, gas alam maupun batu bara. Analisi diperlukan sebagai dasar biomassa sebagai energi seperti proksimat dan kalor.
Made Dirgantara, Karelius Karelius, Marselin Devi Ariyanti, Sry Ayu K. Tamba   +2 more
openaire   +1 more source

Potential biofuel from liquefied cork – Higher heating value comparison

Fuel, 2016
Abstract Herein the improvement of liquefied cork for the production of a bio-oil, which can be faced as a potential bio-fuel, is presented. Cork liquefied products were therefore subjected to water extraction to separate the most polar compounds, in particularly, those arising from cellulose and hemicellulose hydrolysis.
Maria Margarida Mateus, João Carlos Bordado, Rui Galhano dos Santos   +2 more
openaire   +1 more source

Determination of the Higher Heating Value of Pig Manure

Waste and Biomass Valorization, 2015
The ability of using novel method of near-infrared (NIR) spectra to predict the composition and higher heating value (HHV) of dry pig manure was examined. Number of pig manure solid fractions variously pre-treated samples were collected in Denmark, from different pig slurry treatment plants (using mechanical or chemical–mechanical separation) and then ...
Wnetrzak, R., Hayes, D.J.M., Jensen, Lars Stoumann, Leahy, J.J., Kwapinski, W.   +4 more
openaire   +2 more sources

Biomass higher heating value prediction machine learning insights into ultimate, proximate, and structural analysis datasets

Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
In this study machine learning (ML) models have been employed to predict the higher heating value (HHV) of biomass by utilizing input variables derived from ultimate, proximate, and structural analyses.
Ivan Brandić, N. Voća, J. Gunjača, B. Lončar, N. Bilandzija, A. Peter, Jona Šurić, L. Pezo   +7 more
semanticscholar   +1 more source