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Thermal and kinetic analysis of diverse biomass fuels under different reaction environment: A way forward to renewable energy sources

机译:不同反应环境下多种生物质燃料的热力学分析:通向可再生能源的途径

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This study investigates the thermal and kinetic analysis of six diverse biomass fuels, in order to provide valuable information for power and energy generation. Pyrolytic, combustion and kinetic analyses of barley straw, miscanthus, waste wood, wheat straw, short rotation coppicing (SRC) willow and wood pellet were examined by non-isothermal thermogravimetry analyser (TGA), differential thermogravimetric (DTG) and differential scanning calorimetry (DSC) techniques. Biomass fuels were thermally degraded under N-2, air, CO2 and the selected oxy-fuel (30% O2/70% CO2) reaction environments. The thermal degradation under inert N-2 and CO2 atmospheres showed an almost identical rate of weight loss (R), reactivity (R-M x 10(3)) and activation energy (E-a) profiles. Similar profiles for R, R-M and E-a were observed for the environments under air (21% O-2/79% N-2) and the oxy-fuel combustion. Results indicated that the thermal decomposition rate for biomass fuels in an oxidising condition was faster than in an inert atmosphere, favourable effect on thermal degradation of biomass fuels was observed when oxygen content increased from 21 to 30%. Higher activation energies with lower reactivity were observed for the biomass fuels that have low cellulosic contents as compared to the other fuels. Regression analysis confirmed that the reaction order 0.5 modelled fitted well for all biomass samples. All these findings will provide valuable information and promote the advancement of future researches in this field.
机译:这项研究调查了六种不同的生物质燃料的热和动力学分析,以便为发电和能源生产提供有价值的信息。使用非等温热重分析仪(TGA),差示热重分析(DTG)和差示扫描量热法( DSC)技术。生物质燃料在N-2,空气,CO2和选定的含氧燃料(30%O2 / 70%CO2)反应环境下热降解。在惰性N-2和CO2气氛下的热降解显示出几乎相同的失重(R),反应性(R-M x 10(3))和活化能(E-a)曲线。在空气(21%O-2 / 79%N-2)和含氧燃料燃烧的环境下,R,R-M和E-a的分布相似。结果表明,在氧化条件下,生物质燃料的热分解速率要比在惰性气氛中快。当氧气含量从21%增加到30%时,对生物质燃料的热降解具有良好的效果。与其他燃料相比,具有低纤维素含量的生物质燃料观察到较高的活化能和较低的反应性。回归分析证实,建模的反应阶数为0.5可以很好地适合所有生物质样品。所有这些发现将提供有价值的信息,并促进该领域未来研究的发展。

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