Turbulence at the exascale: application to wind energy, green aviation, air quality and net-zero combustion
Turbulence at the exascale: application to wind energy, green aviation, air quality and net-zero combustion
批准号:
EP/W026686/1
负责人:
Sylvain Laizet
金额:
$340.25万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
未结题
起止时间:
2021 至 --
中文摘要
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英文摘要
This proposal brings together communities from the UK Turbulence Consortium (UKTC) and the UK Consortium on Reacting Flows (UKCRF) to ensure a smooth transition to exascale computing, with the aim to develop transformative techniques for future-proofing their production simulation software ecosystems dedicated to the study of turbulent flows. Understanding, predicting and controlling turbulent flows is of central importance and a limiting factor to a vast range of industries. Many of the environmental and energy-related issues we face today cannot possibly be tackled without a better understanding of turbulence.The UK is preparing for the exascale era through the ExCALIBUR programme to develop exascale-ready algorithms and software. Based on the findings from the Design and Development Working Group (DDWG) on turbulence at the exascale, this project is bringing together communities representing two of the seven UK HEC Consortia, the UKTC and the UKCTRF, to re-engineer or extend the capabilities of four of their production and research flow solvers for exascale computing: XCOMPACT3D, OPENSBLI, UDALES and SENGA+. These open-source, well-established, community flow solvers are based on finite-difference methods on structured meshes and will be developed to meet the challenges associated with exascale computing while taking advantage of the significant opportunities afforded by exascale systems. A key aim of this project is to leverage the well-established Domain Specific Language (DLS) framework OPS and the 2DECOMP&FFT library to allow XCOMPACT3D, OPENSBLI, UDALES and SENGA+ to run on large-scale heterogeneous computers. OPS was developed in the UK in the last ten years and it targets applications on multi-block structured meshes. It can currently generate code using CUDA, OPENACC/OPENMP5.0, OPENCL, SYCL/ONEAPI, HIP and their combinations with MPI. The OPS DSLs' capabilities will be extended in this project, specifically its code-generation tool-chain for robust, fail-safe parallel code generation. A related strand of work will use the 2DECOMP&FFT a Fortran-based library based on a 2D domain decomposition for spatially implicit numerical algorithms on monobloc structured meshes. The library includes a highly scalable and efficient interface to perform Fast Fourier Transforms (FFTs) and relies on MPI providing a user-friendly programming interface that hides communication details from application developers. 2DECOMP&FFT will be completely redesigned for a use on heterogeneous supercomputers (CPUs and GPUS from different vendors) using a hybrid strategy.The project will also combine exascale-ready coupling interfaces, UQ capabilities, I/O & visualisation tools to our flow solvers, as well as machine learning based algorithms, to address some of the key challenges and opportunities identified by the DDWG on turbulence at the exascale. This will be done in collaboration with several of the recently funded ExCALIBUR cross-cutting projects.The project will focus on four high-priority use cases (one for each solver), defined as high quality, high impact research made possible by a step-change in simulation performance. The use cases will focus on wind energy, green aviation, air quality and net-zero combustion. Exascale computing will be a game changer in these areas and will contribute to make the UK a greener nation (The UK commits to net zero carbon emissions by 2050). The use cases will be used to demonstrate the potential of the re-designed flow solvers based on OPS and 2DECOMP&FFT, for a wide range of hardware and parallel paradigms.
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High-fidelity simulations of wake-to-wake interaction in an atmospheric boundary layer over a complex terrain
对复杂地形上大气边界层中尾流与尾流相互作用的高保真模拟
DOI:
10.1088/1742-6596/2505/1/012033
发表时间:
2023
期刊:
Conference Series
影响因子:
--
作者:
[Jané-Ippel C]
通讯作者:
Jané-Ippel C
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
A Direct Numerical Simulation Assessment of Turbulent Burning Velocity Parametrizations for Non-Unity Lewis Numbers
非统一路易斯数湍流燃烧速度参数化的直接数值模拟评估
DOI:
10.3390/en16062590
发表时间:
2023
期刊:
Energies
影响因子:
3.2
作者:
[Mohan V]
通讯作者:
Mohan V
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
DOI:
10.1016/j.compfluid.2023.106108
发表时间:
2023-11-11
期刊:
COMPUTERS & FLUIDS
影响因子:
2.8
作者:
[O'Connor,Joseph, Laizet,Sylvain, Coveney,Peter V.]
通讯作者:
Coveney,Peter V.
共 8 条
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:
[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
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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:
Turbulent Flow Simulations at the Exascale: Application to Wind Energy and Green Aviation
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批准号:EP/V000942/1
-
项目类别:Research Grant
-
资助金额:$32.41万
-
财政年份:2020
-
负责人:Sylvain Laizet
-
依托单位:
UK Turbulence Consortium
-
批准号:EP/R029326/1
-
项目类别:Research Grant
-
资助金额:$88.33万
-
财政年份:2018
-
负责人:Sylvain Laizet
-
依托单位:
Plasma-actuator controlled turbulent jets
-
批准号:EP/M022676/1
-
项目类别:Research Grant
-
资助金额:$12.31万
-
财政年份:2015
-
负责人:Sylvain Laizet
-
依托单位:
国内基金
海外基金
基于NIC的Exascale级计算机聚合通信卸载关键技术研究
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批准号:61202124
-
项目类别:青年科学基金项目
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资助金额:24.0万元
-
批准年份:2012
-
负责人:王绍刚
-
依托单位: