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Chemistry and Industry of Forest Products ›› 2014, Vol. 34 ›› Issue (5): 8-14.doi: 10.3969/j.issn.0253-2417.2014.05.002

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Kinetic Analysis of Biomass and Coal Mono-pyrolysis as well as Co-pyrolysis by Coats-Redfern

SUN Yun-juan1,2, JIANG Jian-chun1, WANG Yan-jie1, YING Hao1,2, DAI Wei-di1,2, XU Le1   

  1. 1. Institute of Chemical Industry of Forest Products, CAF;National Engineering Lab.for Biomass Chemical Utilization; Key and Open Lab. of Forest Chemical Engineering, SFA;Key Lab.of Biomass Energy and Material, Jiangsu Province, Nanjing 210042, China;
    2. Research Institute of Forestry New Technology, CAF, Beijing 100091, China
  • Received:2014-05-29 Online:2014-10-25 Published:2015-08-18

Abstract: In this paper, Coats-Redfern was used to analyze the dynamic characteristics of biomass with coal mono-pyrolysis and co-pyrolysis. It mainly researched the influence of heating rate and reaction order on pyrolysis integral curve. It found that in the temperature zone which weight lost rate of raw materials was 5 %-80 %, the higher reaction order and lower reaction temperature, the more influence of heating rate on the pyrolysis integral curve. With the heating rate increasing, the pyrolysis integral curve gradually moved to the high temperature zone. When the different reaction order in the same temperature range was chosen, biomass pyrolysis integral curves all showed well linear relation, especially the rice husk. But reaction orders had clearly influence on the results of the coal mono-pyrolysis and biomass co-pyrolysis with coal. At high reaction orders, it had the well fitting curve, but at the low ones, fitting curves drifted off the linear forms. With the coal rank increasing, the fitting curve obviously drifted off the linear forms. The fitting degree of biomass co-pyrolysis with coal was between the biomass mono-pyrolysis and coal mono-pyrolysis. In the lower temperature range, there was synergistic effect on co-pyrolysis of biomass and coal.

Key words: biomass, coal, Coats-Redfern, co-pyrolysis, synergistic effect

CLC Number: