碳化生物质气化的实验和数值建模:重要综述

Kannie Winston Kuttin , Haowen Yu , Mingming Yang , Lu Ding , Xueli Chen , Guangsuo Yu , Fuchen Wang
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摘要

气化是利用生物质生产能源的最重要和研究最深入的途径之一。它是一种在气化炉内进行的热化学转换过程,各种相互关联的因素都会对气化炉的工作性能产生影响。碳化生物质气化对气化过程和最终产品都有各种影响,是利用含大量水分或形态不均匀的生物质原料生产能源的重要方法。虽然碳化生物质有可能消除或显著减少焦油的形成,而焦油的形成是生物质气化炉设计和运行中最困难的方面,但尽管生物质气化是一个众所周知的转化过程,并在该过程的各个领域进行了广泛的研究和开发,但碳化生物质却没有得到应有的重视。本综述收集并分析了越来越多的碳化生物质气化实验和数值建模方法,这些方法基于建模考虑的类型、原料、气化炉和评估参数等确切条件。研究还概述了各种模型,如基于计算流体动力学和 Aspen Plus 的碳化生物质气化方案的平衡和动力学速率模型及数值模拟,同时比较了文献中描述的各类模型的建模方法和结果。此外,本综述还涵盖了从实验室反应器到工业规模的各种技术。总之,本综述简要概述了建模研究开始时必须做出的建模决定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimental and numerical modeling of carbonized biomass gasification: A critical review

Gasification is one of the most significant and well-researched pathways to produce energy from biomass among the different options available. It is a conversion through thermo-chemical process that takes place within a gasifier, with interconnected factors that have an impact on how well the gasifier works. Gasification of carbonized biomass, which has a variety of effects on both the gasification process and the final product, is a significant method of producing energy from raw biomass that contains a lot of moisture or has non-homogeneous morphology. Although carbonized biomass has the potential to eliminate or significantly reduce tar formation, which is the most difficult aspect of biomass gasifier design and operation, it has not received the attention it merits even though gasification of biomass is a well-known conversion process with extensive research and development spanning all sectors of the process. This review gathers and analyzes the growing number of experimental and numerical modeling approaches in gasification of carbonized biomass based on exact conditions such as type of modeling considerations, feedstock, gasifier, and assessed parameters. The study also provides an overview of various models, such as equilibrium and kinetic rate models and numerical simulations of carbonized biomass gasification schemes based on computational fluid dynamics and Aspen Plus, while comparing the modeling approaches and results for each type of models that are described in the literature. Also, this review encompasses a broad variety of technologies, from laboratory reactors to industrial scale. Overall, this review offers a brief overview of the modeling decisions that must be taken at the beginning of a modeling research.

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