- 【Updated on January 20, 2026】 Integration of CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on November 26, 2025】Regarding the recording of “Research Data” and “Evidence Data”
- CiNii Research researchers search function has been released.
Multi-dimensional Flamelet Modeling and Application to Combustion Simulation on a Zero-emission System
-
- WATANABE Hiroaki
- Kyushu University
Bibliographic Information
- Other Title
-
- 多次元flameletモデリングとゼロエミッションシステムの燃焼数値シミュレーションへの適用
Search this article
Description
<p>This paper describes the multi-dimensional flamelet modeling and the application to a combustion simulation by means of a large-eddy simulation (LES) on an oxy-fuel combustion system. The two-dimensional flamelet formulation for a three-feed combustion system can be simplified with the three types of the quasi-two-dimensional flamelet formulations (Q2DF) by post-processing of the conventional one-dimensional flamelet solutions. The Q2DF models are derived based on the treatments regarding the third stream; the diluent stream is mixed with the oxidizer stream and/or with the fuel stream, giving rise to the three models called Q2DF1, Q2DF2, and Q2DF3. LES with the three models were performed to analyze the characteristics of each model. It was found that the differences among the three models became apparent as the mixture fraction of the inactive third stream (Z3) evolved larger, otherwise the three models gave almost the same accuracy. In the larger Z3 region, its scalar dissipation rate played an important role and the mixing state (premixed or non-premixed) of the third stream with the other streams should be carefully considered. In addition, in the latter part of this paper, the three-dimensional flamelet modeling for coal-ammonia co-combustion is also described.</p>
Journal
-
- Journal of the Combustion Society of Japan
-
Journal of the Combustion Society of Japan 64 (209), 222-229, 2022-08-15
Combustion Society of Japan
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390012423823461760
-
- ISSN
- 24241687
- 13471864
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
-
- Abstract License Flag
- Disallowed