期刊
RENEWABLE ENERGY
卷 186, 期 -, 页码 914-926出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2022.01.049
关键词
Food waste; Hydrothermal carbonization; Supercritical water gasification; Syngas; Hydrochar
资金
- National Natural Science Foundation, China [51976196]
- International Cooperation Project of Zhejiang Province, China [2019C04026]
- Research Council of Norway [319723]
This study investigated a cascading energy recovery process by integrating hydrothermal carbonization (HTC) and supercritical water gasification (SCWG) for the efficient disposal and conversion of HTC process water. The results showed that energy densified hydrochar could be obtained through HTC, while SCWG efficiently converted the HTC process water into H-2-rich syngas.
Supercritical water gasification (SCWG) has drawn great attention as one of the wet biomass conversion technologies. This study investigated a cascading energy recovery process by integrating hydrothermal carbonization (HTC) and SCWG, aiming to achieve the efficient disposal and conversion of HTC process water. The physicochemical characteristics of hydrochars produced by HTC at different temperatures and residence times were analyzed. An energy densified hydrochar with calorific value of 22.68 MJ/kg was obtained under 275 degrees C for 60 min. SCWG was adopted to efficiently achieve the conversion of HTC process water into H-2-rich syngas. The effect of reaction temperatures (360 degrees C, 420 degrees C, 480 degrees C), residence times (15 min, 30 min, 45 min) and, and alkali catalysts on gasification characteristics and contaminants removal performance were studied. The highest H-2 production of 1151.26 mmol/L was obtained at 480 degrees C and 45 min with 5 wt% KOH. The highest TOC and COD removal efficiencies of 83.04% and 82.99% were achieved at 480 degrees C, 45 min, respectively. The efficiencies of SCWG were enhanced by HTC, and less CO2 were generated. This cascading energy recovery process efficiently achieves the conversion of food waste to solid fuel and provides possible optimization of SCWG process. (c) 2022 Elsevier Ltd. All rights reserved.
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