2022
DOI: 10.1016/j.renene.2021.10.042
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Prediction of torrefied biomass properties from raw biomass

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Cited by 35 publications
(12 citation statements)
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“…During torrefaction, biomass loses oxygen and hydrogen, producing a carbon-rich solid product with increased heating value . The torrefied material decreases in moisture content and takes on a more hydrophobic microstructure, with a compositional change transforming the fibrous nature of biomass into a more grindable char . The lignocellulosic material transforms from a white-brown-gray virgin material to a dark-gray/black char, with a concomitant increase in the degree of carbon–carbon bond unsaturation and aromaticity .…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…During torrefaction, biomass loses oxygen and hydrogen, producing a carbon-rich solid product with increased heating value . The torrefied material decreases in moisture content and takes on a more hydrophobic microstructure, with a compositional change transforming the fibrous nature of biomass into a more grindable char . The lignocellulosic material transforms from a white-brown-gray virgin material to a dark-gray/black char, with a concomitant increase in the degree of carbon–carbon bond unsaturation and aromaticity .…”
Section: Resultsmentioning
confidence: 99%
“…61 The torrefied material decreases in moisture content and takes on a more hydrophobic microstructure, with a compositional change transforming the fibrous nature of biomass into a more grindable char. 62 The lignocellulosic material transforms from a white-brown-gray virgin material to a dark-gray/black char, with a concomitant increase in the degree of carbon−carbon bond unsaturation and aromaticity. 63 These physical and chemical changes to biomass significantly reduce the capability of fungi and bacteria to degrade biomass to volatile products, yielding a stable solid that can sequester carbon long-term.…”
Section: Torrefied Carbon�process Introductionmentioning
confidence: 99%
“…11 Due to these advantages, ML can be applied to the prediction of torrefied biomass properties to avoid repetitive experiments. For torrefied biomass, the artificial neural network (ANN) models were most frequently used to predict the yields, 12,13 the CHO contents and HHV, 9 and the exergy 14 of torrefied biomass. In addition to the ANNs, several other models have also been developed to predict the properties of torrefied product.…”
Section: Introductionmentioning
confidence: 99%
“…7,8 In order to estimate the torrefaction process, characterization of torreed biomass properties is necessary. 9 Higher heating value (HHV), an important parameter for designing the biomass conversion facilities, is either experimentally tested by a calorimeter bomb or mathematically calculated using Channiwala and Parikh's correlation based on the proximate and ultimate analysis results. 4,10 These characterizations always require repetitive experiments and subsequently instrumental analysis or mathematical method, consuming lots of time, costs and manpower.…”
Section: Introductionmentioning
confidence: 99%
“…decreases in moisture and takes on a more hydrophobic microstructure, with a compositional change transforming the fibrous nature of biomass into a more grindable char. [62] The lignocellulosic material transforms from a white-brown-grey virgin material to a dark-grey/black char, with a concomitant increase in the degree of carboncarbon bond unsaturation and aromaticity. [63] These physical and chemical changes to biomass significantly reduce the capability of fungi and bacteria to degrade biomass to volatile products, yielding a stable solid that can sequester carbon long term.…”
mentioning
confidence: 99%