10.5281/zenodo.835300
https://zenodo.org/records/835300
oai:zenodo.org:835300
Sanz Rodrigo, Javier
Javier
Sanz Rodrigo
National Renewable Energy Centre (CENER)
Open-Access Virtual Laboratory for Wind Energy in European High Performance Computing and Data Management Infrastructures: The MesoWake Pilot Study
Zenodo
2017
wind energy
hpc
high-fidelity modeling
LES
multi-scale
meso-micro
gabls3
2017-07-27
Project deliverable
10.5281/zenodo.835299
https://zenodo.org/communities/wind_energy
https://zenodo.org/communities/eu
Creative Commons Attribution Non Commercial 4.0 International
This report describes a pilot study on the implementation of a virtual laboratory for wind energy in European high-performance computing (HPC) and data management infrastructures. The virtual laboratory consists on a simulation platform that promotes open-access, modularity, performance and follows best practices for software engineering and testing based on a unified model development and validation strategy. The platform will support the development of high-fidelity models (HFM) of multi-scale atmospheric flows based on large-eddy simulation. A systematic verification and validation process based on unitary and sub-system building blocks determines the suitability of the different modules of the model-chain and their integration in full system simulations. This pilot provides a high-level description of a unified research program for HFM under the umbrella of the IEA-Wind Task 31. Modularity aspects are demonstrated in this pilot study with the development of an interface for offline meso-micro coupling that uses tendencies from the Weather Research and Forecasting (WRF) mesoscale model to drive large-eddy simulations with the SOWFA (Simulator fOr Wind Farm Applications) computational fluid dynamics microscale model. Testing of this approach is carried out with the GABLS3 benchmark on the simulation of a diurnal cycle at the Cabauw meteorological tower in the Netherlands. The case has been shared with relevant research groups by conducting a model intercomparison benchmark in Task 31. This report summarizes all the stages of the research process carried out throughout the MesoWake project to provide guidance to future activities around a unified HFM international research program.
European Commission
10.13039/501100000780
624562
Unified mesoscale to wind turbine wake downscaling based on an open-source model chain