• 제목/요약/키워드: 개선된 랜덤기공모델

검색결과 1건 처리시간 0.04초

FERPM을 적용한 바이오매스 촤의 전산해석적 연구 (Numerical Study of Biomass Char Applying FERPM)

  • 오현석;김강민;김경민;전충환
    • 한국수소및신에너지학회논문집
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    • 제31권1호
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    • pp.122-131
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    • 2020
  • To reduce emissions from coal-fired power plants, researchers focusing on coal and biomass co-firing technology. Biomass, with its carbon-neutral nature and lower quantities of nitrogen and sulfur compared with coals, has a positive impact on coal-fired power generation. Many studies on the combustion of biomass have been conducted, but the study on the combustion characteristics of biomass char is limited. FERPM predicts char combustion characteristics with high accuracy by introducing experimental data-based parameters of biomass char and has not yet been applied in numerical simulation. In this study, FERPM is numerically applied to char combustion of wood pellets representing wood-based biomass and the combustion characteristics are compared with the kinetic/diffusion limited model, intrinsic model, and diffusion limited model.