Comprehensive experimental investigation on biomass-glass beads binary fluidization: A data set for CFD model validation

Gao, Xi; Yu, Jia; Li, Cheng; Panday, Rupen; Xu, Yupeng; Li, Tingwen; Ashfaq, Huda; Hughes, Bryan; Rogers, William A.

doi:10.1002/aic.16843

Title: Comprehensive experimental investigation on biomass-glass beads binary fluidization: A data set for CFD model validation

Journal Article · 18 October 2019 · AIChE Journal

DOI: https://doi.org/10.1002/aic.16843 · OSTI ID:1607764

^[1]; Yu, Jia ^[1]; Li, Cheng ^[1]; Panday, Rupen ^[2]; Xu, Yupeng ^[3]; Li, Tingwen ^[4]; Ashfaq, Huda ^[5]; Hughes, Bryan ^[2]; Rogers, William A. ^[1]

National Energy Technology Lab. (NETL), Morgantown, WV (United States)
National Energy Technology Lab. (NETL), Morgantown, WV (United States); REM Engineering Services, Morgantown, WV (United States)
National Energy Technology Lab. (NETL), Morgantown, WV (United States); West Virginia Univ. Research Corp., Morgantown, WV (United States)
SABIC, Sugar Land, TX (United States)
National Energy Technology Lab. (NETL), Morgantown, WV (United States); West Virginia Univ., Morgantown, WV (United States)

Fluidization behavior of biomass and glass beads binary mixtures in a bubbling fluidized bed was experimentally investigated. Mixtures containing different mass fraction of Loblolly Pine white wood and glass beads were fluidized at different fluidization velocities. The particle properties were characterized in a QICPIC that uses a dynamic image processing method to measure both particle size and sphericity. The minimum fluidization velocity was determined using the pressure drop method. An image processing method was developed to capture the dynamic expanded bed height at a very high frequency. The effect of biomass mass fraction and inlet gas velocity on mixing and segregation behavior was studied and analyzed through pressure drop measurements. Pressure drop fluctuations and expanded bed height fluctuations via fast Fourier transform were analyzed and compared. Here, the complete and accurate experimental data reported in this study could provide a benchmark data set for various computational fluid dynamics models validation, calibration, and identification.

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Research Organization:: National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)

Sponsoring Organization:: USDOE

OSTI ID:: 1607764

Alternate ID(s):: OSTI ID: 1573267

Journal Information:: AIChE Journal, Vol. 66, Issue 2; ISSN 0001-1541

Publisher:: American Institute of Chemical EngineersCopyright Statement

Country of Publication:: United States

Language:: English

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