The NREL 5 MW baseline wind turbine is selected as the reference use case for wall-resolved fluid-structure interaction (FSI) studies lead by Imperial College London (ICL). In addition to the FSI studies, it also sets a common ground to leverage the results of algorithms being developed in HPCWE for wind turbine simulation at turbine level and to showcase the advantages provided by state-of-the-art HPC simulation for the following objectives being pursued individually and collaboratively by ICL, USP, UTwente, USTUTT and EPCC.
The 2020 edition of the ETP4HPC Handbook of HPC projects is available. It offers a comprehensive overview over the European HPC landscape that currently consists of around 50 active projects and initiatives – including HPCWE.
This new animation shows a simulated inflow atmospheric boundary layer (ABL) with a wind turbine using Winc3D. It shows a typical turbulent boundary layer flow, where the flow structures are concentrated near the ground.
HPCWE presents poster at EERA JP Wind
Reasearchers from the HPCWE project presented a poster at the virtual EERA JP Wind event: “A hybrid solution for wind resource assessment – predict offshore wind from limited onshore measurements”
Videos: Simulations of NREL-5 MW reference wind turbine
Researchers from HPCWE project partner Universidade de São Paulo have conducted a number of simulations with the NREL-5 MW reference wind turbine. The videos were produced to demonstrate and visualize the outcome of these simulations.
Mini-symposium at the Wind Energy Science Conference 2021: Advances in High-Performance Computing for Wind Energy Applications
This mini-symposium, organized by HPCWE project partners ICL and USP, is aiming at sharing the state-of-the-art advances in numerical methods, mathematical models and computational techniques in the application of high-performance computing to wind energy. It seems contributions on applications including, but not limited to, turbulence and atmospheric flow, aeroelasticity and fluid-structure interaction, wake and farm modelling. It will survey the landscape of current HPC technology and will aim to identify existing bottlenecks for the adoption of exascale computing by the wind energy community.
HPCWE Workshop: results are now available online
We successfully completed our virtual HPCWE workshop on September 14th & 15th. For everyone who missed the live event or wants to re-watch, videos and PDFs from all presentations are now available on our website.
REGISTER NOW & Join our Workshop on September 14th & 15th: The Path to Future HPC Technologies in Wind Energy Modelling & Simulation
At almost every stage in wind energy exploitation ranging from wind turbine design, wind resource assessment to wind farm layout and operations, the application of HPC is a must. In this workshop, researchers and experts from leading European and Brazilian research institutions and companies in the domains of wind energy as well as HPC will explore the latest developments in HPC Technology, Wind Energy & Models, and HPC for Wind Energy. Registration is open & free of charge.
Using HPC to model wind farm cluster wake impacts: wind resources in the German Bight
A recent study using mesoscale modelling, as well as a simplified kinetic energy balance model, has indicated the need for international coordination of offshore wind farm planning. The HPCWE project will increase our capacity to perform calculations of this sort, and increase the accuracy of the results.
Use Case: Perdigao Testing Site
The Perdigão site in Portugal has been chosen as one of three use cases for the HPCWE project. Its topography is representative of potential onshore sites in Brazil, and presents a suitable challenge for microscale simulation software.
NEXTGenIO: Using Non-Volatile Memory to Improve I/O
Memory and I/O characteristics have a strong impact on scalability and performance of many HPC applications. In particular, as HPCWE applications with focus on wind energy move towards Exascale, I/O is likely to become one of the main challenges due to the unprecedented degree of utilised parallelism
BOOA completes 3.5 years of operation
The data collected by the Ocean and Atmosphere Observation Base (BOOA) in southern Brazil will be used to tune the mesoscale simulations in HPCWE.
Brazil offshore wind resource assessment
Recent studies suggest that Brazil has an offshore wind technical resource of 1.3 TW between 0 and 100 m water depths. The study was based on remote sensing and climate data and employs a method that considers the stability of the atmosphere for extrapolating winds to the height of turbines.
Thick Strip Method for Efficient Large-Eddy Simulations of Flexible Wings in Stall
Abstract: Efficient computational method is presented based on the “thick“ strip method for large eddy simulation (LES) of flexible wings in stall.
Research on flow field decomposition — towards data reduction
A novel numerical scheme was developed for the empirical wavelet transformation (EWT) of numerically simulated data fields. This method decomposes the flow field into multiple scales, whose essential dynamics can be further extracted by modal decomposition methods.
Corrected actuator line models in OpenFOAM
During the development of the Verification, Validation and Uncertainty Quantification (VVUQ) framework by the HPCWE project partner University of Stuttgart, code errors have been found and corrected in the actuator line model of the turbinesFoam library, that works as an add-in to the OpenFOAM software.
Project Management Board meeting
The project management board held a meeting in Nottingham in Janauary 2020. The plans of management, dissemination and exploration were reviewed.
Co-organization of an international conference in Shanghai
Several partners of HPCWE co-organized an international conference in Shanghai, China on high-fidelity numerical simulations.
Meetings of the EU-Brazilian partners
After the HPCWE kick-off meeting that took place on June 11th, 2019, the Brazilian coordinator, Dr. Bruno Carmo from the University of Sao Paolo (USP) visited the European partners.
Press release: €2m to boost cyber power behind wind energy production
The University of Nottingham is leading a €2m High Performance Computing (HPC) project to optimise the sustainable exploitation of wind power in both the European and Brazilian energy markets.