2016
DOI: 10.1016/j.enconman.2016.06.029
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Influence of reaction conditions and feedstock on hydrochar properties

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Cited by 80 publications
(23 citation statements)
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“…Hydrochars have several industrial and environmental applications, such as for soil improvers [17] and solid fuel, whether upon direct combustion [18] or through gasification [12]. HTC chars may have also potential uses as sorbents for CO 2 sequestration, methane and hydrogen storage, in energy storage devices (Li/Na ion batteries, supercapacitors, fuel cells) and as precursors for activated carbon preparation [7,[18][19][20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…Hydrochars have several industrial and environmental applications, such as for soil improvers [17] and solid fuel, whether upon direct combustion [18] or through gasification [12]. HTC chars may have also potential uses as sorbents for CO 2 sequestration, methane and hydrogen storage, in energy storage devices (Li/Na ion batteries, supercapacitors, fuel cells) and as precursors for activated carbon preparation [7,[18][19][20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the chemical composition of the hydrochar may be even more complex, if the starting feedstock is a waste material, such as bio-solids, municipal wastes, paper mill sludge, and so on. On this basis, it is noticeable that the yield and properties of the char strongly depend on the composition of the starting feedstock and the adopted process conditions [150,151].…”
Section: Biochar Recovery and Exploitation Possibilitiesmentioning
confidence: 99%
“…Iryani et al [11] described the development of a shrinking core model that was ultimately used to describe the hydrolysis process and HC yields. Suwelack et al [20], and Guo et al [58] modeled HC properties based on process severity factors. Suwelack et al [20] developed a model to predict HC yields, degree of carbonization, and H/C and O/C ratios resulting from the HTC of digestate and wheat straw based on the logarithmic dependence on process severity, which was calculated based on batch experiment data.…”
Section: Review Of Models Developed To Predict Hc Propertiesmentioning
confidence: 99%
“…Suwelack et al [20] developed a model to predict HC yields, degree of carbonization, and H/C and O/C ratios resulting from the HTC of digestate and wheat straw based on the logarithmic dependence on process severity, which was calculated based on batch experiment data. Guo et al [58] developed models to predict HC yield, carbon content, and energy content using process severity and a dose-response function for data from the carbonization of corn stalk, longan shell, NaOH-pretreated longan shell, wood, olive stone, and grape marc. Based on model results, Guo et al [58] report that the water to biomass ratio significantly influences HC yield and that feedstock chemical composition has a significant effect on the HC yield, carbon content, and energy content.…”
Section: Review Of Models Developed To Predict Hc Propertiesmentioning
confidence: 99%
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