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木質バイオマスのガス化過程における基礎熱分解特性とその予測手法の検討

机译:木质生物质气化过程中基本热分解特性的检验及其预测方法

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摘要

Recently, development of energy transfer technology based on woody biomass remarkably has been forwarding accompaniedbiomass boom for gasification and liquefaction. To elevate on yield of energy into biomass for transportation and exergy is extremelyimportant for essential utilization and production of bio-fuels.Because, conversion to bio-fuel must be discussion in detail thermo-decomposition characteristics for biomass main compositionformed on cellulose and hemicelluloses, lignin. In this research, we analyze thermo-decomposition characteristics of each biomassmain composition on both active (air) and passive (N2) atmosphere. Especially, we suggest predict model of gasification based onchange of atomic carbon ratio with thermo-decomposition.I) Even if it heat-treats cedar chip by 473K, loss of energy hardly produces it. From this, it acquired that the substance contributedto weight reduction was a low ingredient of energy value.2)If cedar chip is heated in the 473K around, it can be predicted that the substance with a low energy value like water or acetic acidhas arisen by thermal decomposition. It suggested that the transportation performance of the biomass improved by choosing andeliminating these. 3)Each ingredient of hydrogen, nitrogen, and oxygen which dissipated in the gasification process acquired that it was directproportion to the carbonaceous dissipation rate.4)The action at the time of thermo-decomposition of (the carbon, hydrogen, nitrogen, oxygen which are) the main constituentfactors of the biomass suggested a possibility of being predicted by a statistical method.
机译:近来,基于木质生物质的能量转移技术的显着发展已经推动了伴随生物质的繁荣而气化和液化。提高能源产量以运输和利用火能对于生物燃料的基本利用和生产极为重要。因此,必须详细讨论向生物燃料的转化,以纤维素和半纤维素,木质素形成的生物质主要成分的热分解特性为前提。 。在这项研究中,我们分析了每种生物质主要成分在主动(空气)和被动(N2)气氛下的热分解特性。特别是,我们建议根据原子碳比例随热分解的变化来预测气化模型。I)即使对雪松片进行473K的热处理,也几乎不会产生能量损失。由此可知,有助于减肥的物质是能量值低的成分。2)如果在473K左右加热雪松片,则可以预测出水或乙酸等能量值低的物质的产生。热分解。这表明通过选择和消除这些物质可以改善生物质的运输性能。 3)气化过程中耗散的氢,氮和氧的每种成分都与碳的耗散率成正比。4)(碳,氢,氮,氧的热分解时)是)生物质的主要构成因素表明有可能通过统计方法进行预测。

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