A new enabling multiscale model for low-carbon cement pre-calciners fueled by biomass
バイオマスを燃料とする低炭素セメントプレカルシナーのための新しいマルチスケールモデル (AI 翻訳)
Qiang Zheng, Y Tian, Hao Luo, Wei Wang, Fei Li, Bona Lu, Qijun Zheng, Shibo Kuang
🤖 gxceed AI 要約
日本語
本論文は、バイオマス燃料を用いたセメントプレカルシナーにおける未燃焼問題と原料凝集を解決する数値モデルを初めて提案。マルチ流体モデルと粒子内温度勾配モデルを統合し、工業データで検証。バイオマス粒径の影響を明らかにし、低炭素セメント生産の最適化に貢献。
English
This paper presents a novel numerical model for biomass-fueled cement pre-calciners addressing incomplete burnout and raw meal agglomeration. It integrates a Multi-Fluid Model with sub-particle-scale effects, validated against industrial data. The model reveals biomass size effects and supports low-carbon cement production optimization.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
国内のセメント産業はCO2排出削減が急務であり、バイオマス燃料利用は重要な選択肢。本モデルは実機運転の最適化に直結し、日本の低炭素セメント技術開発に示唆を与える。
In the global GX context
Cement production is a hard-to-abate sector, and biomass co-firing offers a practical decarbonization pathway. This model addresses key operational challenges, enabling efficient biomass use. It contributes to global efforts in industrial energy efficiency and emission reduction.
👥 読者別の含意
🔬研究者:Provides a validated multiscale model for reactive multiphase flow with agglomeration and intraparticle effects, advancing cement decarbonization simulation.
🏢実務担当者:Offers a tool for optimizing biomass-fueled pre-calciner operations, improving combustion efficiency and reducing emissions in cement plants.
🏛政策担当者:Supports policy on biomass utilization in heavy industry by demonstrating technical feasibility and performance improvements.
📄 Abstract(原文)
Although large biomass fuels offer significant potential for deep decarbonization, their use in cement pre-calciners often results in incomplete burnout. Raw meal agglomeration adds further complexity, and together these effects cause reactor instability and inefficiency, as well as downstream operational issues. For the first time, this paper presents an enabling numerical model to address these challenges. For this purpose, a Multi-Fluid Model (MFM) is initially developed to effectively capture the multiphase reactive flows and agglomeration effects in industrial pre-calciners. The model integrates a particle-scale agglomeration mechanism and incorporates the agglomerate sizes into constitutive relations—including granular energy, solid viscosity, drag force, heat and mass transfer, and reactive surface area. Validation against industrial data confirms the model's markedly improved predictive accuracy compared with previous models, and its applicability is further examined under different tertiary air conditions. Based on this, a Sub-Particle-Scale (SPS) model is incorporated to account for intraparticle temperature gradient effects within large biomass particles in industrial systems. After validation using industrial measurements, the integrated model is applied to reveal biomass size effects on incomplete burnout and pre-calciner performance. These new efforts account for fine particle agglomeration and intraparticle temperature gradients in large particles while maintaining suitable computational efficiency, thereby enabling effective industrial-scale simulations. It provides a tool for guiding the operation of biomass-fueled pre-calciners under various conditions, supporting the advancement of low-carbon cement production. • A model is proposed to simulate agglomerate effects in cement pre-calciners. • The model represents a significant improvement over existing modelling approaches. • It is further developed and validated to enable capturing intraparticle effects in large biomass. • These developments lead to a reliable integrated model not previously reported. • This model is used to reveal biomass size effects under industrial conditions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.energy.2026.141357first seen 2026-05-17 05:48:04
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