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Hydro thermal carbonization of waste biomass to fuel: A novel technique for analyzing experimental data

机译:废生物质转化为燃料的水热碳化:一种用于分析实验数据的新技术

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This paper deals with a new stochastic approach to handling data from waste biomass hydrothermal carbonization. The dynamics of hydrochar properties are described using the concept of reaction time distributions. A set of cumulative frequency distribution functions is provided that could very well correlate the most disparate experimental data. The procedure for analyzing the results is detailed. The method is illustrated with experiments on batch runs with five different wastes from the agro-food industry. Isothermal reactions (200 degrees C) were performed up to 120 min at a constant 7/1 water biomass ratio. The regression analyses fully confirm the correctness of the method. The use of dynamical van Krevelen plots is proposed. The approach allows also obtaining from lab-scale runs fundamental information for the correct waste -to-fuel process development at the industrial scale. The mathematics is not demanding and, unlike other methods, the difficulties substantially do not increase with the complexity of the modeled kinetic scheme. (C) 2019 Elsevier Ltd. All rights reserved.
机译:本文提出了一种新的随机方法来处理来自废物生物质热液碳化的数据。使用反应时间分布的概念来描述水焦特性的动力学。提供了一组累积频率分布函数,这些函数可以很好地关联最不同的实验数据。详细分析结果的过程。通过对来自农业食品行业的五种不同废物的分批运行进行的实验说明了该方法。等温反应(200摄氏度)以恒定的7/1水生物量比率进行长达120分钟。回归分析充分证实了该方法的正确性。建议使用动态范·克雷维伦图。该方法还允许从实验室规模的运行中获取基本信息,以在工业规模上正确进行废物转化为燃料的过程。数学要求不高,并且与其他方法不同,难度基本上不会随建模的动力学方案的复杂性而增加。 (C)2019 Elsevier Ltd.保留所有权利。

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