Modeling Combustion of Ammonia/Hydrogen Fuel Blends under Gas Turbine Conditions

燃烧 工艺工程 点火系统 化学 核工程 热力学 工程类 物理 有机化学
作者
Hua Hua Xiao,Agustin Valera‐Medina,Philip John Bowen
出处
期刊:Energy & Fuels [American Chemical Society]
卷期号:31 (8): 8631-8642 被引量:140
标识
DOI:10.1021/acs.energyfuels.7b00709
摘要

To utilize ammonia as an alternative fuel for future power generation, it is essential to develop combustion chemical kinetic mechanisms which can describe in some detail the reaction characteristics and combustion properties. In the present study, a detailed chemical-kinetics mechanism is developed to validate premixed combustion characteristics of ammonia and hydrogen fuel blends comprehensively. In order to obtain a useful model for gas turbine applications, the proposed kinetic mechanism is verified in terms of NOx emission, laminar burning velocity, and ignition delay times, focusing particularly on elevated conditions which are encountered during gas turbine operation. Results have shown that the proposed kinetic model performs with satisfactory accuracy under different practical equivalence ratio conditions. The comparison with other mechanisms from the literature also demonstrates that the model can comprehensively describe the reaction process of ammonia/hydrogen fuels in terms of different combustion properties especially under gas turbine conditions. Finally, to develop the kinetic model for more practical applications, the proposed mechanism is reduced and appraised in a 2D large-eddy-simulation representing turbulent combustion for ammonia/hydrogen fuels under gas turbine conditions. The reduced mechanism shows good agreement with the parent model, while offering considerably greater computationally efficiency, hence providing optimizm for the application of detailed ammonia chemistry for future CFD analysis under gas turbine combustion conditions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
4秒前
琦琦发布了新的文献求助10
4秒前
sunidea发布了新的文献求助10
4秒前
你好明天发布了新的文献求助10
12秒前
疑问师发布了新的文献求助10
14秒前
典雅碧空发布了新的文献求助10
16秒前
科研小哥完成签到,获得积分20
17秒前
19秒前
复杂大象完成签到,获得积分10
22秒前
科研小哥发布了新的文献求助10
24秒前
Orange应助sunidea采纳,获得10
25秒前
26秒前
科研通AI2S应助yuan采纳,获得10
27秒前
hcq完成签到,获得积分20
27秒前
华东小可爱完成签到,获得积分10
27秒前
科研通AI2S应助Dawn采纳,获得10
27秒前
31秒前
paparazzi221应助Zl采纳,获得50
31秒前
36秒前
薰硝壤应助你好明天采纳,获得10
36秒前
37秒前
赢赢完成签到 ,获得积分10
39秒前
39秒前
科研通AI2S应助畅快成风采纳,获得30
40秒前
Jasper应助科研小哥采纳,获得10
40秒前
caffeine完成签到,获得积分10
41秒前
一一得一发布了新的文献求助10
41秒前
酷盖发布了新的文献求助10
42秒前
不配.应助huokai采纳,获得30
43秒前
Jennifer发布了新的文献求助100
44秒前
Akim应助LuoYixiang采纳,获得10
45秒前
45秒前
tramp应助小星采纳,获得20
46秒前
疑问师完成签到,获得积分10
48秒前
Swenson发布了新的文献求助60
49秒前
50秒前
清脆香萱发布了新的文献求助10
50秒前
Lucas应助典雅碧空采纳,获得10
52秒前
52秒前
愤怒的之玉完成签到 ,获得积分10
53秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3136127
求助须知:如何正确求助?哪些是违规求助? 2787029
关于积分的说明 7780244
捐赠科研通 2443154
什么是DOI,文献DOI怎么找? 1298899
科研通“疑难数据库(出版商)”最低求助积分说明 625294
版权声明 600870