Predictive Modelling of Sugar Release from Blended Garden Wastes in a Microwave-Assisted Hot Water Process
Due to supply difficulties caused by seasonal availability, fuel ethanol production from a single lignocellulosic biomass species is always uneconomical at commercial scale. The utilization of blended biomass offers a potential solution to this problem. In this study, a prediction model was develope...
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Published in | Waste and biomass valorization Vol. 12; no. 6; pp. 3009 - 3018 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Dordrecht
Springer Netherlands
01.06.2021
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | Due to supply difficulties caused by seasonal availability, fuel ethanol production from a single lignocellulosic biomass species is always uneconomical at commercial scale. The utilization of blended biomass offers a potential solution to this problem. In this study, a prediction model was developed to evaluate the sugar release from blended garden wastes in a microwave-assisted hot water (MHW) process. The optimum blending ratio of
Bauhinia blakeana Dunn
(BB), rice straw (RS) and sugarcane bagasse (SC) was found to be 2:3:5, which promised a high total xylose yield of 67.82% (using a process temperature of 186 °C for 43 min). While the yield of xylose could only reach 52.47% when adopting the single garden waste of BB as feedstock under the same condition. Furthermore, the use of blended materials provided a cost savings of 22.23% as compared with the single RS feedstock, and no significant difference was found in the release of total xylose. The model developed was found to accurately predict the total xylose released from blended garden feedstocks. In addition, a steady supply of lignocellulosic biomass for fuel ethanol production could also be generated.
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ISSN: | 1877-2641 1877-265X |
DOI: | 10.1007/s12649-019-00932-2 |