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Prediction Heating Values Of Lignocellulosics From Biomass Characteristics

Authors: Kaltima Phichai; Pornchanoke Pragrobpondee; Thaweesak Khumpart; Samorn Hirunpraditkoon;

Prediction Heating Values Of Lignocellulosics From Biomass Characteristics

Abstract

{"references": ["", "L. S\u00f8rum, M.G. Gr\u00f8nli, and J.E. Hustad, \"Pyrolysis characteristics and\nkinetics of municipal solid wastes,\" Fuel, vol. 80 (9), 2001, pp. 1217-\n1227.", "J.A. Caballero, J.A. Conesa, R. Font, A. Marcilla, J. Anal. Appl. Pyrol.\n42 (1997) 159-175.", "J.J.M. \u00d3rf\u00e3o, F.J.A. Antunes, J.L. Figueiredo, Fuel, vol. 78 , 1999, pp\n349-358.", "J.J. Many\u00e0, E. Velo, and L. Puigjaner, \"Kinetics of Biomass Pyrolysis: a\nReformulated Three-Parallel-Reactions Model,\" Ind. Eng. Chem. Res.,\nvol. 42, 2003, pp. 434-441.", "L. Baxter, \"Biomass Cofiring Overview: Second World Conference and\nExhibition on Biomass for Energy,\" in Industry and Climate Protection,\nRome, Italy, May 2004, pp. 10-14.", "T. Srihirun, P. Chayasakulviwat, \"Development of Coconut Shell\nBriquetted Charcoal: Apparatus and Combustion Characterization,\"\nSenior Project, Department of Chemical Engineering, King Mongkut's\nUniversity of Technology North Bangkok, Thailand, 2010.", "S. Guar, T.B. Reed, \"Thermal data for Natural and Synthetic Fuels,\"\nNew. York: Marcel Dekker, Inc., 1998.", "T. Cordero, F. Marquez, J. Rodriguez-Mirasol, and J.J Rodriguez,\n\"Predicting heating values of lignocellulosics and carbonaceous\nmaterials from proximate analysis,” Fuel, vol 80, 2001, pp. 1567-1571."]}

The paper provides biomasses characteristics by proximate analysis (volatile matter, fixed carbon and ash) and ultimate analysis (carbon, hydrogen, nitrogen and oxygen) for the prediction of the heating value equations. The heating value estimation of various biomasses can be used as an energy evaluation. Thirteen types of biomass were studied. Proximate analysis was investigated by mass loss method and infrared moisture analyzer. Ultimate analysis was analyzed by CHNO analyzer. The heating values varied from 15 to 22.4MJ kg-1. Correlations of the calculated heating value with proximate and ultimate analyses were undertaken using multiple regression analysis and summarized into three and two equations, respectively. Correlations based on proximate analysis illustrated that deviation of calculated heating values from experimental heating values was higher than the correlations based on ultimate analysis.

Keywords

Ultimate analysis., Proximate analysis, Heating value equation

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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