4.7 Article

Experimental Evaluation and Empirical Modeling of Cross-Flow Microfiltration for Solids and Ash Removal from Fast Pyrolysis Bio-Oil

期刊

ENERGY & FUELS
卷 34, 期 9, 页码 11014-11025

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.energyfuels.0c01641

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资金

  1. Natural Resources Canada's Office of Energy Research & Development through the Program for Energy Research and Development (Project title: Pyrolysis Liquids for Immediate Heat and Power Applications [2015-2019])
  2. Natural Resources Canada's Office of Energy Research & Development through the Program for Energy Research and Development (Project title: Development and Optimization of Multi-Product Bio-refinery Processes [2019-2020])

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The presence of suspended char particulate and ash in fast pyrolysis bio-oil produced from the fast pyrolysis of high ash forestry materials poses a significant technical challenge for the direct utilization and/or catalytic upgrading of these low-carbon renewable fuels. Cross-flow microfiltration is a physical upgrading process strategy that can remove suspended solids and ash from the fast pyrolysis bio-oil. To develop data sets on operational characteristics of fast pyrolysis bio-oil cross-flow microfiltration, experimental research was undertaken. Using a variety of filtration media with nominal pore sizes between 1 and 40 mu m, typical solids and ash rejection ranged from 80 to 95% and 4-45%, respectively. An empirical modeling procedure was developed to predict the throughput and resistance associated with cross-flow microfiltration of fast pyrolysis bio-oil, which demonstrated good agreement with generated experimental data. Key operating parameters were also studied, and it was found that transmembrane pressures less than 1 bar and fluid preheat temperatures up to 60 degrees C were ideal for maximizing the pseudo steady-state flux of the process. Furthermore, the use of low viscosity, miscible solvents, and/or initial solids reduction pathways prior to microfiltration offered additional routes to potentially improve the throughput of such a process.

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