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Review and analysis of biomass gasification models

机译:审查和分析生物质气化模型

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The use of biomass as a source of energy has been further enhanced in recent years and special attention has been paid to biomass gasification. Due to the increasing interest in biomass gasification, several models have been proposed in order to explain and understand this complex process, and the design, simulation, optimisation and process analysis of gasifiers have been carried out. This paper presents and analyses several gasification models based on thermodynamic equilibrium, kinetics and artificial neural networks. The thermodynamic models are found to be a useful tool for preliminary comparison and for process studies on the influence of the most important fuel and process parameters. They have the advantage of being independent of gasifier design, but they cannot give highly accurate results for all cases. The kinetic-based models are computationally more intensive but give accurate and detailed results. However, they contain parameters that limit their applicability to different plants.
机译:近年来,生物质作为能源的使用得到了进一步增强,并且对生物质气化给予了特别的关注。由于对生物质气化的兴趣日益浓厚,已经提出了几种模型来解释和理解这一复杂的过程,并且已经进行了气化炉的设计,模拟,优化和过程分析。本文介绍并分析了基于热力学平衡,动力学和人工神经网络的几种气化模型。发现热力学模型是进行初步比较和对最重要的燃料和过程参数的影响进行过程研究的有用工具。它们具有独立于气化炉设计的优势,但是它们不能在所有情况下都提供高度准确的结果。基于动力学的模型计算量更大,但给出了准确而详细的结果。但是,它们包含的参数限制了它们对不同工厂的适用性。

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