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...

Full description

Saved in:
Bibliographic Details
Published inWaste and biomass valorization Vol. 12; no. 6; pp. 3009 - 3018
Main Authors Bai, Ruxue, Wang, Wen, Yu, Qiang, Zhang, Qinghua, Kong, Xiaoying, Sun, Yongming, Zhuang, Xinshu, Wang, Zhongming, Yuan, Zhenhong
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.06.2021
Springer Nature B.V
Subjects
Bagasse
Biomass
Engineering
Environment
Environmental Engineering/Biotechnology
Ethanol
Fuels
Gardens & gardening
Hot water
Industrial Pollution Prevention
Lignocellulose
Original Paper
Prediction models
Raw materials
Renewable and Green Energy
Sugarcane
Waste Management/Waste Technology
Wastes
Xylose
Garden waste
Microwave-assisted hot water
Pretreatment
Blending biomass
Online AccessGet full text

Cover

More Information
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. Graphic Abstract
ISSN:1877-2641
1877-265X
DOI:10.1007/s12649-019-00932-2