The correlation of physicochemical properties and combustion performance of hydrochar with fixed carbon index
Hydrothermal carbonization performance and the correlation of pelletizaiton and combustion of hydrochar with fixed carbon index (FCI) [Display omitted] •The correlation based on the fixed carbon of hydrochar was introduced.•Pelletization and combustion properties of hydrochar fits well with fixed ca...
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Veröffentlicht in: | Bioresource technology 2019-12, Vol.294, p.122053-122053, Article 122053 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Hydrothermal carbonization performance and the correlation of pelletizaiton and combustion of hydrochar with fixed carbon index (FCI)
[Display omitted]
•The correlation based on the fixed carbon of hydrochar was introduced.•Pelletization and combustion properties of hydrochar fits well with fixed carbon index (FCI).•Fuel quality of hydrochar is intensified at high FCI, but energy recovery efficiency is lowered.•Bulk density and compress strength of pellets were improved in range of FCI = 0.2–0.3.•Physicochemical properties, pelletization and combustion performance of hydrochar can be predicted via FCI.
Hydrothermal carbonization (HTC) is effective method for improving fuel properties of biomass. Investigating the relationship between the HTC severity and the physicochemical properties of hydrochar is beneficial for the large-scale utilization. The fixed carbon index (FCI) based on the hydrothermal carbonization severity is introduced to predict the physicochemical properties, pelletization and combustion performance of hydrochar. The results showed the relationship between decarbonization, dehydrogenation, deoxygenation and FCI fits exponential function. It was predicted that the hydrochar pellets with FCI = 0.15–0.45 possessed the highest bulk density (>1175 kg/m3), the lowest specific energy consumption (10.7Mpa). Moreover, the activation energy of hydrochar combustion in FCI (0.15–0.25) is higher (the maximum is 216 kJ/mol). The study provides based datas for predicting the fuel properties of hydrochar and obtains high quality solid fuel. |
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ISSN: | 0960-8524 1873-2976 |
DOI: | 10.1016/j.biortech.2019.122053 |