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Gasification of Olive Tree Pruning in Fluidized Bed: Experiments in a Laboratory-Scale Plant and Scale-up to Industrial Operation

机译:流化床中橄榄树修剪的气化:在实验室规模的工厂中进行的实验和大规模的工业生产

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摘要

Olive tree pruning was gasified with air in a laboratory fluidized bed (FB) reactor at 800, 850, and 900 degrees C and equivalence ratios (ERs) ranging from 0.12 to 0.35. A few additional tests were performed varying the fuel particle size, biomass feed rate, and oxygen enrichment in the air. The composition of the product gas was determined by measuring the light gas, water vapor, tar, and some inorganic contaminants. The solids produced were characterized by sampling from the cyclone and bed, providing approximate information about the char elutriation rate and residence time. The lower heating value of the gas, LHV (excluding benzene and tars), varied between 4.5 and 7.8 MJ/(Nm(3)) using air, whereas it increased to 9.3 MJ/(Nm(3)) using enriched air with 40% O-2. Carbon conversion increased with temperature (so did gasification efficiency), reaching 97% at 900 degrees C, indicating almost complete fuel conversion. Analysis of the results with the assistance of a previously developed FB gasification model indicated that most of the tests were, carried out under allothermal conditions (with significant heat added to or removed from the gasifier) and only a few tests were representative of autothermal conditions, i.e., the mode of operation of industrial air-blown FB gasifiers (without heat addition and with small heat losses). The model was also used to scale-up the laboratory-scale results to predict the gas composition of industrial-scale FB gasifiers.
机译:橄榄修剪在800、850和900摄氏度的实验室流化床(FB)反应器中用空气气化,当量比(ERs)为0.12至0.35。还进行了一些其他测试,以改变燃料的粒径,生物质的进料速度和空气中的氧气富集。通过测量轻质气体,水蒸气,焦油和一些无机污染物来确定产物气的组成。通过从旋风分离器和床中取样来表征产生的固体,提供有关炭析出速率和停留时间的大概信息。气体的低热值LHV(不包括苯和焦油)在使用空气的情况下在4.5至7.8 MJ /(Nm(3))之间变化,而在使用40 O-2%。碳转化率随温度增加(气化效率也升高),在900摄氏度时达到97%,表明几乎完全完成了燃料转化。在先前开发的FB气化模型的帮助下对结果进行的分析表明,大多数测试是在同温条件下进行的(向气化炉中添加或去除了大量热量),只有少数测试代表了自热条件,即,工业吹气式FB气化炉的运行方式(不增加热量,热量损失小)。该模型还用于扩大实验室规模的结果,以预测工业规模FB气化炉的气体组成。

著录项

  • 来源
    《Energy & fuels》 |2017年第1期|542-554|共13页
  • 作者单位

    Univ Seville, Chem & Environm Engn Dept, Escuela Tecn Super Ingn, Camino Descubrimientos S-N, Seville 41092, Spain;

    Univ Seville, Chem & Environm Engn Dept, Escuela Tecn Super Ingn, Camino Descubrimientos S-N, Seville 41092, Spain;

    Univ Seville, Chem & Environm Engn Dept, Escuela Tecn Super Ingn, Camino Descubrimientos S-N, Seville 41092, Spain;

    Univ Seville, Chem & Environm Engn Dept, Escuela Tecn Super Ingn, Camino Descubrimientos S-N, Seville 41092, Spain;

    Fdn Adv Technol Ctr Renewable Energy CTAER, Paraje Retamares S-N, Tabernas 04200, Almeria, Spain;

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

  • 入库时间 2022-08-18 00:39:32

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