1-12 Detailed Analysis of PM Formation Behavior and Shape in High Biomass Co-firing of Coal Using Deep Learning
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- Nakamura Taichi
- Chubu University
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- YAMADA Ryosuke
- Chubu University
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- NINOMIYA Yoshihiko
- Chubu University
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- MORI Takehito
- Tohoku Electric Power Engineering & Construction, Co., Inc.
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- NAGANUMA Hiroshi
- Tohoku Electric Power Engineering & Construction, Co., Inc.
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- SAWADA Akihiro
- Tohoku Electric Power Engineering & Construction, Co., Inc.
Bibliographic Information
- Other Title
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- 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
Abstract
<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>
Journal
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- Proceedings of Conference on Coal Science
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Proceedings of Conference on Coal Science 60 (0), 24-25, 2023-10-24
The Japan Institute of Energy
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Details 詳細情報について
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- CRID
- 1390861084458865536
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- ISSN
- 24238309
- 24238295
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed