Experimental and model enhancement of food waste hydrothermal liquefaction with combined effects of biochemical composition and reaction conditions
| Autor: | Xu Kang, Chih Ting Kuo, Yuanhui Zhang, Buchun Si, Niki E. Wu, Michael Stablein, Aersi Aierzhati |
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| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
Environmental Engineering Hot Temperature Biochemical Phenomena Bioengineering 010501 environmental sciences Raw material 01 natural sciences 010608 biotechnology Biochemical composition Waste Management and Disposal 0105 earth and related environmental sciences Reaction conditions Renewable Energy Sustainability and the Environment Chemistry Water General Medicine Pulp and paper industry Refuse Disposal University campus Hydrothermal liquefaction Food waste Food Yield (chemistry) Biofuels Renewable resource |
| Zdroj: | Bioresource technology. 284 |
| ISSN: | 1873-2976 |
| Popis: | Excessive food waste presents an opportunity to simultaneously alleviate waste and produce renewable resources. The present work uses hydrothermal liquefaction (HTL) with elevated temperatures (280–380 °C) and times (10–60 min) to convert categorized food residues collected from a university campus dining hall into biocrude oil. Analysis of distinct feedstocks presented different biochemical compositions (protein, carbohydrate, and lipid) and yielded between 2 and 79% biocrude oil for the respective optimized HTL temperatures and times. Reaction pathways and elemental distributions (C,H,N) elucidated HTL product qualities based on feedstocks and optimized reaction conditions. Both descriptive HTL process energy recoveries and consumption ratios are included. An improved predictive model was able to accurately determine biocrude oil yield (R2adj 98.3%) of different food wastes under different reaction conditions, as well as predict previously published data (R2 94.3%). Combined experimental and analytical results were used to assess the sustainability and robustness of the HTL process. |
| Databáze: | OpenAIRE |
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