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Prediction of slag related problems during fixed bed combustion of biomass by application of a multivariate statistical approach on fuel properties and burner technology

机译:一种在燃料性能和燃烧器技术上应用多元统计方法的固定床燃烧过程中渣相关问题的预测

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摘要

Slag is related to the melting properties of ash and is affected by both the chemical composition of the fuel ash and the combustion parameters. Chemical analysis of slag from fixed bed combustion of phosphorus-poor biomass show that the main constituents are Si, Ca, K, O (and some Mg, Al, and Na), which indicates that the slag consists of different silicates. Earlier research also points out viscosity and fraction of the ash that melts, as crucial parameters for slag formation. To the authors' knowledge, very few of the papers published to this day discuss slagging problems of different pelletized fuels combusted in multiple combustion appliances. Furthermore, no comprehensive classification of both burner technology and fuel ash parameters has been presented in the literature so far. The objective of the present paper was therefore to give a first description of a qualitative model where ash content, concentrations of main ash forming elements in the fuel and type of combustion appliance are related to slagging behaviour and potential operational problems of a biomass fuel in different small- and medium scale fixed bed appliances. Based on the results from the combustion of a wide range of pelletized biomass fuels in nine different burners, a model is presented for amount of slag formed and expected severity of operational problems. The model was validated by data collected from extensive combustion experiments and it can be concluded that the model predicts qualitative results.
机译:炉渣与灰的熔化性质有关,受燃料灰和燃烧参数的化学成分的影响。磷差的磷差的固定床燃烧的炉渣的化学分析表明,主要成分是Si,Ca,K,O(和一些Mg,Al和Na),表明炉渣由不同的硅酸盐组成。早期的研究还指出熔化的灰分的粘度和馏分,作为渣形成的关键参数。为了提交人的知识,很少有篇论文发表于今天的论文讨论了在多种燃烧设备中燃烧的不同颗粒化燃料的粘结问题。此外,到目前为止,文献中没有展示燃烧器技术和燃料灰分参数的全面分类。因此,本文的目的是提供一种定性模型的第一个描述,其中灰分含量,燃料和燃烧器类型中的主灰分成形元素的浓度与粘结行为有关,以及不同的生物质燃料的潜在操作问题小型和中型固定床电器。基于九种不同燃烧器中各种造粒生物质燃料的燃烧的结果,提出了一种模型,用于形成的渣量和操作问题的预期严重程度。通过从广泛的燃烧实验中收集的数据验证了该模型,可以得出结论,该模型预测定性结果。

著录项

  • 来源
    《Biomass & bioenergy》 |2020年第6期|105557.1-105557.10|共10页
  • 作者单位

    Thermochemical Energy Conversion Laboratory Department of Applied Physics and Electronics Umed University 901 87 Umed Sweden;

    Energy Engineering Division of Energy Science Lulea University of Technology 971 87 Luled Sweden MultCon Multi Consulting AB Edeforsvaegen 62 960 24 Harads Sweden;

    BEST - Bioenergy and Sustainable Technologies GmbH Inffeldgasse 21b 8010 Graz Austria;

    BEST - Bioenergy and Sustainable Technologies GmbH Inffeldgasse 21b 8010 Graz Austria Technology and Support Centre in the Centre of Excellence for Renewable Resources (TFZ) Schulgasse 18 94315 Straubing Germany;

    Technology and Support Centre in the Centre of Excellence for Renewable Resources (TFZ) Schulgasse 18 94315 Straubing Germany;

    RISE Built Environment Research Institutes of Sweden IDEON Scheelevaegen 17 223 70 Lund Beta 5 Sweden;

    Energy Engineering Division of Energy Science Lulea University of Technology 971 87 Luled Sweden BEST - Bioenergy and Sustainable Technologies GmbH Inffeldgasse 21b 8010 Graz Austria;

    Thermochemical Energy Conversion Laboratory Department of Applied Physics and Electronics Umed University 901 87 Umed Sweden;

    Energy Engineering Division of Energy Science Lulea University of Technology 971 87 Luled Sweden;

    Thermochemical Energy Conversion Laboratory Department of Applied Physics and Electronics Umed University 901 87 Umed Sweden;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Biomass; Combustion; Fixed bed; Slagging; Predictive model;

    机译:生物质;燃烧;固定的床;粘着;预测模型;

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