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Expedient Prediction of the Fuel Properties of Carbonized Woody Biomass Based on Hue Angle

Author

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  • Yuta Saito

    (Hokuriku Electric Power Company, 15-1 Ushijimacho, Toyama 930-8686, Japan)

  • Kiyoshi Sakuragi

    (Energy Engineering Research Laboratory, Central Research Institute of Electric Power Industry, 2-6-1 Nagasaka, Yokosuka, Kanagawa 240-0196, Japan)

  • Tetsuya Shoji

    (Energy Engineering Research Laboratory, Central Research Institute of Electric Power Industry, 2-6-1 Nagasaka, Yokosuka, Kanagawa 240-0196, Japan)

  • Maromu Otaka

    (Energy Engineering Research Laboratory, Central Research Institute of Electric Power Industry, 2-6-1 Nagasaka, Yokosuka, Kanagawa 240-0196, Japan)

Abstract

Woody biomass co-firing-based power generation can reduce CO 2 emissions from pulverized coal boilers. Carbonization of woody biomass increases its calorific value and grindability, thereby improving the co-firing ratio. Carbonized biomass fuel properties depend on moisture, size and shape of feedstock, and carbonization conditions. To produce carbonized biomass with stable fuel properties, the carbonization conditions should be set according to the desired fuel properties. Therefore, we examined color changes accompanying woody biomass carbonization and proposed using them for rapid evaluation of fuel properties. Three types of woody biomasses were carbonized at a test facility with a capacity of 4 tons/day, and the fuel properties of the obtained materials were correlated with their color defined by the L * a * b * model. When fixed carbon, an important fuel property for carbonization, was 25 wt % or less, we observed a strong negative correlation, regardless of the tree species, between the hue angle, h ab , and fixed carbon. The h ab and fixed carbon were correlated even when the fixed carbon exceeded 25 wt %; however, this correlation was specific to the tree species. These results indicate that carbonized biomass fuel properties such as fixed carbon can be estimated rapidly and easily by measuring h ab .

Suggested Citation

  • Yuta Saito & Kiyoshi Sakuragi & Tetsuya Shoji & Maromu Otaka, 2018. "Expedient Prediction of the Fuel Properties of Carbonized Woody Biomass Based on Hue Angle," Energies, MDPI, vol. 11(5), pages 1-8, May.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:5:p:1191-:d:145257
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    References listed on IDEAS

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    1. Adrian Knapczyk & Sławomir Francik & Marcin Jewiarz & Agnieszka Zawiślak & Renata Francik, 2020. "Thermal Treatment of Biomass: A Bibliometric Analysis—The Torrefaction Case," Energies, MDPI, vol. 14(1), pages 1-31, December.

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