1-12　ディープラーニングを活用した石炭のバイオマス高比率混焼におけるPM の生成挙動と形状の詳細解析

DOI

書誌事項

タイトル別名
  • 1-12　Detailed Analysis of PM Formation Behavior and Shape in High Biomass Co-firing of Coal Using Deep Learning

抄録

<p>Ash deposition in pulverized coal-fired boilers can lead to operational issues and inhibit heat transfer. This study conducted combustion experiments using a laboratory-scale drop tube furnace (DTF) to investigate how adding biomass affects fly ash formation. During the experiments, two types of coal (CV and TOP coals) were mixed with black pine pellets (KP) and black pellets (BP) biomass samples at 5%, 15%, and 30% (based on anhydrous higher heating value). The study found that the particle size of fly ash increased as the biomass addition rate increased due to the reaction between coal mineral particles and biomass ash during combustion. An increase in aggregated-type particles was identified through shape classification of the produced ash using deep learning.</p>

収録刊行物

詳細情報 詳細情報について

  • CRID
    1390861084458865536
  • DOI
    10.20550/jiesekitanronbun.60.0_24
  • ISSN
    24238309
    24238295
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
  • 抄録ライセンスフラグ
    使用不可

問題の指摘

ページトップへ