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Energies 2018, 11(5), 1191; https://doi.org/10.3390/en11051191

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

1
Hokuriku Electric Power Company, 15-1 Ushijimacho, Toyama 930-8686, Japan
2
Energy Engineering Research Laboratory, Central Research Institute of Electric Power Industry, 2-6-1 Nagasaka, Yokosuka, Kanagawa 240-0196, Japan
*
Author to whom correspondence should be addressed.
Received: 17 April 2018 / Revised: 2 May 2018 / Accepted: 4 May 2018 / Published: 8 May 2018
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Abstract

Woody biomass co-firing-based power generation can reduce CO2 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, hab, and fixed carbon. The hab 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 hab. View Full-Text
Keywords: carbonization; woody biomass; color analysis; fuel properties; fixed carbon carbonization; woody biomass; color analysis; fuel properties; fixed carbon
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Saito, Y.; Sakuragi, K.; Shoji, T.; Otaka, M. Expedient Prediction of the Fuel Properties of Carbonized Woody Biomass Based on Hue Angle. Energies 2018, 11, 1191.

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