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Turbulent Flow Simulations at the Exascale: Application to Wind Energy and Green Aviation

Turbulent Flow Simulations at the Exascale: Application to Wind Energy and Green Aviation
百亿亿级湍流模拟:在风能和绿色航空中的应用
批准号:
EP/V000942/1
负责人:
Sylvain Laizet
金额:
$32.41万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

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中文摘要
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英文摘要
Our daily life is surrounded - and even is sustained - by the flow of fluids. Blood moves through thevessels in our bodies, and air flows into our lungs. Fluid flows disperse particulate air pollution in the turbulent urban as well as indoor environments. Fluid flows play a crucial role for our transportation and our industries. Our vehicles move through air and water powered by other fluids that mix in the combustion chambers of engines. Many of the environmental and energy-related issues we face today cannot possibly be tackled without a better understanding of the dynamics of fluids.From a practical point of view, fluid flows relevant to scientists and engineers are turbulent ones; turbulence is the rule, not the exception. To date, a complete theory of fluid flow phenomena is still missing because of the complexity of the full equations describing the motion of a fluid.Their understanding and control is however crucial to improve technologies especially with minimal ecological impact as well as to anticipate events, in many areas ranging from engineering applications(e.g., industrial process, propulsion and power generation, car and aircraft design) to environmental sciences and technologies (e.g., air quality, weather forecasting, climate predictions, flood disasters monitoring).Significant progress has been made recently using petascale computing, and computational fluid dynamics is now a critical complement to experiments and theories. Turbulent flow simulations at the exascale will require significant reformulation of existing flow solvers, implementation of new physics, and development of a more nuanced problem formulation. It has however the potential to produce significant advances in our quest towards a greener future, relying in large parts on a better understanding of the overarching subject of turbulence.To better understand the opportunities and the challenges that will come with exascale computing for turbulent flows, we propose to create a Design and Development Working Group (DDWG) dedicated to turbulent flow simulations at the exascale, a high priority area of research for the UK. The focus will be on wind energy and green aviation applications as exascale computing will be a game changer in these areas and will contribute to make the UK a greener nation. This DDWG is building upon the experience and expertise of the UK Turbulence Consortium (UKTC) members and the recently funded Collaborative Computational Project (CCP) Turbulence. Two state-of-the-art open source flow solvers,OpenSBLI and Incompact3d, are currently being designed in the UK for pre-exascale and exascale systems using a high-level abstraction framework called OPS, an API with associated libraries and pre-processors to generate parallel executables for applications on multi-block structured meshes. The final output of this DDWG will be the delivery of a report with a strategic research agenda that will clearly articulate the research challenges to be overcome, opportunities, key risks and mitigation for turbulence simulations at the exascale. It will set out a detailed approach to enable development of CFD exascale-ready software through appropriate application-oriented, high-level programming abstractions, with proof-of-concept studies to demonstrate the capabilities of OpenSBLI and Incompact3d for exascale computing.
期刊论文(6)
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会议论文
DOI: 10.1007/s10494-022-00364-4
发表时间: 2022-09
期刊: Flow, Turbulence and Combustion
影响因子: --
作者: [A. E. Giannenas;Nikolaos Bempedelis;F. Schuch;S. Laizet]
通讯作者: A. E. Giannenas;Nikolaos Bempedelis;F. Schuch;S. Laizet
Analytical all-induction state model for wind turbine wakes
风力机尾流的解析全感应状态模型
DOI: 10.1103/physrevfluids.7.034605
发表时间: 2022
期刊: Physical Review Fluids
影响因子: 2.7
作者: [Bempedelis N]
通讯作者: Bempedelis N
DOI: 10.1017/jfm.2022.1064
发表时间: 2023-01
期刊: Journal of Fluid Mechanics
影响因子: 3.7
作者: [N. Bempedelis;S. Laizet;G. Deskos]
通讯作者: N. Bempedelis;S. Laizet;G. Deskos
An analytical blockage correction model for high-solidity turbines
高固体度涡轮机的分析堵塞修正模型
DOI: 10.1017/fm.2022.735
发表时间: 2022
期刊: JOURNAL OF FLUID MECHANICS
影响因子: 3.7
作者: [Steiros K.]
通讯作者: Steiros K.
The UK Turbulence Consortium
  • 批准号:
    EP/X035484/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $64.61万
  • 财政年份:
    2023
  • 负责人:
    Sylvain Laizet
  • 依托单位:
Turbulence at the exascale: application to wind energy, green aviation, air quality and net-zero combustion
  • 批准号:
    EP/W026686/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $340.25万
  • 财政年份:
    2021
  • 负责人:
    Sylvain Laizet
  • 依托单位:
[EnAble]: Developing and Exploiting Intelligent Approaches for Turbulent Drag Reduction
  • 批准号:
    EP/T021144/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $63.52万
  • 财政年份:
    2021
  • 负责人:
    Sylvain Laizet
  • 依托单位:
CCP Turbulence
  • 批准号:
    EP/T026170/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $33.56万
  • 财政年份:
    2020
  • 负责人:
    Sylvain Laizet
  • 依托单位:
国内基金
海外基金
肝硬化患者4D Flow MRI血流动力学与肝脂肪和铁代谢的交互机制研究
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    胡勤勤
  • 依托单位:
基于4 D-Flow MRI评估吻合口大小对动静脉瘘的血流动力学以及临床预后的影响
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    王晓禾
  • 依托单位:
构建4D-Flow-CFD仿真模型定量评估肝硬化门静脉血流动力学