4.7 Article

Thermal loss analysis and improvements for biomass conversion reactors

Journal

ENERGY CONVERSION AND MANAGEMENT
Volume 218, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.enconman.2020.112924

Keywords

Biomass torrefaction; Thermal analysis; Energy; Reactor design; Heat loss

Funding

  1. MIT Tata Center
  2. MIT Tata Center Fellowship
  3. Cyclotron Road Fellowship
  4. Dolores Zohrab Liebmann Fellowship
  5. Robert and Patricia Switzer Fellowship
  6. Natural Sciences and Engineering Research Council of Canada Postdoctoral Fellowship
  7. Legatum Fellowship
  8. MIT Abdul Latif Jameel Water and Food Systems Lab (J-WAFS)

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The published torrefaction design analysis either ignore thermal loss or assume a generic value in their characterization of biomass thermochemical reactors. This study, using a small-scale biomass reactor prototype for torrefaction as an example, demonstrates a low-cost but scientifically rigorous way to measure thermal losses, and proposes a mathematical description to fit with the measurements. Losses from reactor side walls and losses from char-cooling segment were characterized and analyzed separately using total solid energy flux as a basis. The thermal dissipation for both reactor side walls and char-cooling segment depended primarily on solid residence time, and hence minimizing the solid residence time was proposed as a process improvement. The other improvement tested was using heat from the char-cooling segment to preheat the air fed to the reactor. For the considered torrefaction reactor, the char-cooling segment length of 0.5 m combined with an outer jacket width of 0.01 m, ensured faster cooling of char product and lower temperature gradient in the bed, therefore, resulting in 75% savings in energy loss compared to the default design case without air pre-heating in place. The presented mathematical analysis with some experimental measurements not only quantified the thermal losses but also helped to identify improvements to the torrefaction reactor design to optimize their key parameters for scaling.

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