Prediction of carbon, hydrogen, and oxygen compositions of raw and torrefied biomass using proximate analysis

Nhuchhen, Daya Ram

doi:10.1016/j.fuel.2016.04.058

Cited by 63 publications

(54 citation statements)

References 63 publications

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“…that influence the gross calorific value. Their contents depend on the species, the part of the plant, season, and the growing stage, among other factors [36]. Another explanation could be the botanical family of the studied species [37].…”

Section: Resultsmentioning

confidence: 96%

Modeling the Calorific Value of Biomass from Fruit Trees Using Elemental Analysis Data

Velázquez‐Martí¹,

Cortés²,

Hernández³

et al. 2017

Biomass Volume Estimation and Valorization for Energy

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Pruning of fruit trees produces a great quantity of biomass each year that can be used for energy production. For this purpose, it is necessary to carry out an energy characterization of these pruned wastes, where the determination of heating value is significant. This value is usually measured by an adiabatic or isoperibolic calorimeter, which causes high economic costs and wastes time. The present study is focused on the development of indirect models for heating value prediction of biomass from orange trees Citrus × sinensis Osbeck, almond trees Prunus dulcis (Mill) D.A. Webb, and olive trees Olea europaea L. from an elemental analysis in order to reduce the time of determination as well as the economic costs. Residual biomass was classified and characterized according to CEN regulations such as received, without drying. Also, moisture content wet basis, bark ratio, density, heating value, and elemental composition (carbon, hydrogen, nitrogen, and sulfur) were measured. The influence of these variables on the heating value was analyzed. Finally, mathematical models were developed to predict this value for this studied species. These models showed coefficients of determination between 0.83 and 0.97, being suitable for industrial use.

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Section: Resultsmentioning

confidence: 96%

Modeling the Calorific Value of Biomass from Fruit Trees Using Elemental Analysis Data

Velázquez‐Martí¹,

Cortés²,

Hernández³

et al. 2017

Biomass Volume Estimation and Valorization for Energy

View full text Add to dashboard Cite

show abstract

“…It is worth noting that the correlation of Friedl et al [13] has been successfully applied for prediction of the heating value of torrefied biomass in some studies [15,16]. Nhucchen [17] used the data of proximate analysis of raw and torrefied biomass and proposed correlations for predicting the C, H and O contents of torrefied biomass. Nhucchen et al [18] developed two correlations for the HHV of torrefied biomass using both proximate analysis and ultimate analysis.…”

Section: Introductionmentioning

confidence: 99%

Correlations to Predict Elemental Compositions and Heating Value of Torrefied Biomass

2018

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Measurements reported in the literature on ultimate analysis of various types of torrefied woody biomass, comprising 152 data points, have been compiled and empirical correlations are developed to predict the carbon content, hydrogen content, and heating value of a torrefied wood as a function of solid mass yield. The range of torrefaction temperature, residence time and solid yield of the collected data is 200–300 °C, 5–60 min and 58–97%, respectively. Two correlations are proposed for carbon content with a coefficient of determination ( R 2 ) of 81.52% and 89.86%, two for hydrogen content with R 2 of 79.01% and 88.45%, and one for higher heating value with R 2 of 92.80%. The root mean square error (RMSE) values of the proposed correlations are 0.037, 0.028, 0.059, 0.043 and 0.023, respectively. The predictability of the proposed relations is examined with an additional set of experimental data and compared with the existing correlations in the literature. The new correlations can be used as a useful tool when designing torrefaction plants, furnaces, or gasifiers operating on torrefied wood.

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“…The analysis of biomass characteristics relevant for combustion. For any energy conversion system biochemical and elemental properties of biomass are relevant (Nhuchhen, 2016) and end-use efficiency could be affected. The concentration of fibre components (cellulose, hemicellulose and lignin) in the biomass is important for combustion.…”

Section: Resultsmentioning

confidence: 99%

Artemisia dubia growth, yield and biomass characteristics for combustion

Kadžiulienė

Tilvikienė

Liaudanskienė

et al. 2017

Zemdirbyste-Agriculture

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In recent years, there has been increasing interest in the use of agricultural biomass for energy purpose in many northern countries. This has created demand for novel, high biomass yielding, specific quality crops for sustainable use. The aim of the current study was to examine Artemisia dubia Wall. for biomass yield and biomass characteristics important for combustion in the temperate climate conditions. The crops were grown on an EndocalcariEpihypogleyic Cambisol (CMg-p-w-can) without fertilization and with mineral nitrogen fertilization at 90 and 170 kg ha -1 N rates. Nitrogen fertilization slightly increased plant height and accumulation of biomass. Moisture content in the biomass of swards applied with a higher rate of mineral N decreased more slowly compared with the lower rate. Biomass annual yield in the second and third years ranged from 15.8 to 17.1 t ha -1 ; however, significant effect of nitrogen fertilization was not observed. Nitrogen fertilization had a significant influence on N content and lignin in the biomass. The variation of values of the elements relevant for combustion (carbon and sulphur) in the biomass was negligibly influenced by nitrogen fertilization. The relatively low ash content and heating value, amounting to 8.5 MJ kg -1 achieved even without nitrogen fertilization, makes A. dubia a promising energy crop in the northern part of the temperate climate zone. More studies and analyses on A. dubia are needed to ascertain the fertilization effect on biomass yield, biomass quality and biomass properties for combustion in senescent plants.

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Prediction of carbon, hydrogen, and oxygen compositions of raw and torrefied biomass using proximate analysis

Cited by 63 publications

References 63 publications

Modeling the Calorific Value of Biomass from Fruit Trees Using Elemental Analysis Data

Modeling the Calorific Value of Biomass from Fruit Trees Using Elemental Analysis Data

Correlations to Predict Elemental Compositions and Heating Value of Torrefied Biomass

Artemisia dubia growth, yield and biomass characteristics for combustion

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