Fundamentals of turbulent swirl-stabilized combustion of ammonia/hydrogen blends for carbon-free energy applications

用于无碳能源应用的氨/氢混合物的湍流涡流稳定燃烧的基础知识

基本信息

  • 批准号:
    2301485
  • 负责人:
  • 金额:
    $ 55.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-08-01 至 2026-07-31
  • 项目状态:
    未结题

项目摘要

Due to the negative impact of carbon dioxide on climate, decarbonization of electricity production is a societal imperative. Replacement of fossil fuels with carbon-free alternatives is an expedient and practical solution because it would leverage existing gas turbine technology with limited modifications. While ammonia and hydrogen are two most viable carbon-free fuels, their combustion behavior and pollutants emissions in regimes relevant to applications are unexplored, hindering progress. This project will provide a comprehensive theory of the combustion of such blends, thereby supporting their deployment for carbon-free combustion-based electricity production. Despite their importance, key aspects of power generation, such as its impacts on economy, health, and climate change, are largely outside of the public discourse. Proposed work will lead to more awareness and understanding of key issues in combustion-based electricity generation by leveraging podcast content production.The proposed work will accelerate the deployment of ammonia/hydrogen fuel blends for combustion-based electricity production by meeting two specific objectives. The first research objective is to generate a comprehensive database of key turbulence-chemistry interactions in turbulent flames of ammonia/hydrogen blends in practical configurations via large-scale high-fidelity Direct Numerical Simulations and experimental measurements with laser-based optical diagnostics. This objective will be achieved by considering rich premixed swirl-stabilized turbulent flames relevant to Rich-Quick-Lean staged combustion and isolate the effects of turbulence on flame propagation and formation of oxides of nitrogen (NOx). The second research objective is to leverage numerical and experimental data to formulate generalizable dimensionless scaling laws for turbulent flames of ammonia/hydrogen blends by applying an innovative statistical learning approach based on similarity theory. The approach combines classical error-in-variables statistical models with the theory of similarity in asymptotic parameters. Hypotheses on regimes of similarity will be evaluated via Bayesian model selection. If successful, proposed research will lead to the systematic understanding of critical turbulence-chemistry interactions in ammonia/hydrogen mixtures and demonstrate an entirely new approach to statistical learning, whereby the objective is to discover limit forms of dimensionless scaling laws in asymptotic parameters.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
由于二氧化碳对气候的负面影响,电力生产的脱碳是社会的当务之急。用无碳替代品取代化石燃料是一种权宜之计和切实可行的解决方案,因为它将利用现有的燃气涡轮机技术,并进行有限的修改。虽然氨和氢是两种最可行的无碳燃料,但它们在与应用相关的制度中的燃烧行为和污染物排放尚未探索,阻碍了进展。该项目将提供此类混合物燃烧的综合理论,从而支持其用于无碳燃烧的电力生产。尽管它们很重要,但发电的关键方面,如对经济、健康和气候变化的影响,在很大程度上不在公众讨论范围之内。通过利用播客内容制作,拟议的工作将提高人们对燃烧发电关键问题的认识和理解。拟议的工作将通过满足两个具体目标,加快氨/氢燃料混合物在燃烧发电中的部署。第一个研究目标是通过大规模高保真直接数值模拟和基于激光的光学诊断实验测量,在实际配置中的氨/氢混合物湍流火焰中产生一个全面的关键燃烧化学相互作用数据库。这一目标将通过考虑与富-快-贫分级燃烧相关的富预混旋流稳定湍流火焰来实现,并隔离湍流对火焰传播和氮氧化物(NOx)形成的影响。第二个研究目标是利用数值和实验数据,通过应用基于相似理论的创新统计学习方法,制定适用于氨/氢混合物湍流火焰的可推广的无量纲标度律。该方法结合了经典的变量误差统计模型与渐近参数的相似性理论。将通过贝叶斯模型选择评价相似性机制的假设。如果成功的话,拟议的研究将导致对氨/氢混合物中关键的毒性-化学相互作用的系统理解,并展示一种全新的统计学习方法,该奖项反映了美国国家科学基金会的法定使命,并被认为是值得通过使用基金会的智力价值和更广泛的评估支持。影响审查标准。

项目成果

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Fabrizio Bisetti其他文献

Verification and Validation of a fully-coupled three-dimensional low-temperature plasma and reactive Navier Stokes solver
全耦合三维低温等离子体和反应纳维斯托克斯求解器的验证和确认
  • DOI:
    10.2514/6.2024-1820
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    A. Duarte;Fabrizio Bisetti;Nicholas Deak;Lucas Esclapez;Marcus Day
  • 通讯作者:
    Marcus Day
Large-Eddy Simulation of Isothermal Flow in a Technical Swirl Burner for Ammonia Combustion Applications
用于氨燃烧应用的技术旋流燃烧器中等温流的大涡模拟
  • DOI:
    10.2514/6.2024-0594
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Aditya Vinod;Cristian A. Jimenez;Thibault Guiberti;Fabrizio Bisetti
  • 通讯作者:
    Fabrizio Bisetti
Reynolds number scaling and self-similarity of the surface density function of reactive-diffusive interfaces in shear-driven turbulence up to math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si2.svg" display="inline" id="d1e1182" class="math"mrowmsubmrowmtextRe/mtext/mrowmrowmiλ/mi/mrow/msubmo linebreak="goodbreak" linebreakstyle="after"=/momn140/mn/mrow/math
在剪切驱动的湍流中,雷诺数的表面密度函数的reynolds数字和自相似性,直至数学xmlns:mml =“ http://www.w.w.33.org/1998/1998/math/math/math/math/mathml-mathml-mathml” altimg =“ altimg =” class =“ MATH” MROWMSUBMROWMTEXTRE/MTEXT/MROWMROWMIλ/MI/MROW/MSUBMO LINEBREAK =“ GOODBRAKER” LINE BRAKENKSTYLE =“ after” =/MOMN140/MN/MN/MROW/MROW/MATH
  • DOI:
    10.1016/j.proci.2024.105694
  • 发表时间:
    2024-01-01
  • 期刊:
  • 影响因子:
    5.200
  • 作者:
    Aditya Vinod;Tejas Kulkarni;Fabrizio Bisetti
  • 通讯作者:
    Fabrizio Bisetti

Fabrizio Bisetti的其他文献

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{{ truncateString('Fabrizio Bisetti', 18)}}的其他基金

Regimes of plasma-assisted ignition of turbulent hydrocarbon mixtures
湍流烃混合物的等离子体辅助点火方式
  • 批准号:
    1903775
  • 财政年份:
    2019
  • 资助金额:
    $ 55.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Experimental and numerical study on the Reynolds number dependence of surfaces in von Karman turbulent swirling flows
合作研究:冯卡门湍流旋流中表面雷诺数依赖性的实验和数值研究
  • 批准号:
    1805921
  • 财政年份:
    2018
  • 资助金额:
    $ 55.5万
  • 项目类别:
    Standard Grant

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合作研究:了解湍流过程对沿海环境下坡风时空变化的影响
  • 批准号:
    2331729
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    2024
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Exploration of the Nonequilibrium Statistical Mechanics of Turbulent Collisionless Plasmas
湍流无碰撞等离子体的非平衡统计力学探索
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    2024
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EAGER: Liutex-based Sub-Grid Model for Large Eddy Simulation of Turbulent Flow
EAGER:基于 Liutex 的湍流大涡模拟子网格模型
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    2422573
  • 财政年份:
    2024
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    $ 55.5万
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Mesh-free methods for turbulent reacting flows: the next generation of DNS
用于湍流反应流的无网格方法:下一代 DNS
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    2024
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合作研究:了解湍流过程对沿海环境下坡风时空变化的影响
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Advancement and application of footprint analysis in urban atmospheric turbulent dispersion fields
足迹分析在城市大气湍流弥散场中的进展及应用
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