Workshop: The Path to Future HPC Technologies in Wind Energy Modelling & Simulation 2021 WHAT IS THE WORKSHOP ABOUT? Wind as a clean and renewable

ETP4HPC releases 2021 Handbook of European HPC projects The 2021 edition of the ETP4HPC Handbook of European HPC projects is now available online! The Handbook is prepared

Spatial-Temporal Data Fusion for Wind Energy Presenter: Basem Elshafei, University of Nottingham, U.K. In wind resource assessments, which are critical to the pre-construction of wind

Floating offshore wind turbines (FOWTs) with Winc3D Floating offshore wind turbines (FOWTs) are the next frontier in offshore wind energy, allowing exploration of deep-water regions

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

Comparison of meso- to microscale coupling Authors: Clementine Le Guennic, EDF; Bjarke Tobias Olsen, DTU One of the use cases within the project HPCWE focuses

Preparing for a new round of measurements The vertical wind profiler of southern Brazil is on its way to ZX Lidars in the UK for

HPCWE presents at the AIAA SciTech Forum HPCWE partner Imperial College London (ICL) is going to present at the virtual AIAA SciTech Forum 2021.  WHEN:

n3d is a CFD (computational fluid dynamics) simulation code designed for investigating wake effects and other turbulent flow features for wind turbines. Turbulence, and wake

HPCWE presents at the Supercomputing Conference 2020 On November 18th, the HPCWE was present with a talk at the Supercomputing Conference 2020, a major event

Use Case 1: Overview, Objectives and HPC Application Definition of the Use Case The NREL 5 MW baseline wind turbine is selected as the reference

HPCWE is represented in the 2020 Handbook of European HPC Projects The 2020 edition of the ETP4HPC Handbook of HPC projects is available. It offers

Animation of a simulated inflow atmospheric boundary layer (ABL) with a wind turbine using Winc3D For the simulation of wind turbines in turbulent inflow conditions,

HPCWE presents poster at EERA JP Wind Reasearchers from the HPCWE project presented a poster at the virtual EERA JP Wind event.  Poster description: A

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

Join our mini-symposium at the WESC2021: Advances in High-Performance Computing for Wind Energy Applications Description of the mini-symposium:  Numerical simulation plays a critical role in

Workshop Registration We successfully completed our virtual HPCWE workshop on September 14th & 15th. For everyone who missed the live event or wants to re-watch,

Workshop: The Path to Future HPC Technologies in Wind Energy Modelling & Simulation DOWNLOADThe live event is over, but you can review videos of all

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

Codes Flagship Codes N3D UTwente-LES Nektar++/SHARPy Code_Saturne Vortex-WRF-LES EWP – Explicit Wake Parametrisation N3D N3D, available from UoN and USP, is a high-order finite element

Spatial-Temporal Data Fusion for Wind Energy Presenter: Basem Elshafei, University of Nottingham, U.K.   In wind resource assessments, which are critical to the pre-construction of

Use Case 2: Perdigão testing site, Portugal Perdigão is an inland testing site, located 200 kms to the North-West of Lisboa. It has a moderately complex

1. Definitions a) Personal data Personal data means any information relating to an identified or identifiable natural person (“data subject”). An identifiable natural person is

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,

1. Introduction Our website, https://www.hpcwe-project.eu (hereinafter: “the website”) uses cookies and other related technologies (for convenience all technologies are referred to as “cookies”). Cookies are also placed

BOOA completes 3.5 years of operation The Ocean and Atmosphere Observation Base (BOOA) in southern Brazil completed its 3.5 years of operation. The laboratory managed

Brazil offshore wind resource assessment Recent studies (read more here) suggest that Brazil has an offshore wind technical resource of 1.3 TW between 0 and

Publications Coastal Wind Power in Southern Santa Catarina, Brazil Authors: César Henrique Mattos Pires, Felipe M. Pimenta, Carla A. D’Aquino, Osvaldo R. Saavedra, Xuerui Mao

Thick Strip Method for Efficient Large-Eddy Simulations of Flexible Wings in Stall Authors: Mohsen Lahooti, Rafael Palacios, Spencer J. Sherwin Institute: Imperial College London An

Research on flow field decomposition – towards data reduction A novel numerical scheme was developed for the empirical wavelet transformation (EWT) of numerically simulated data

Co-organization of an international conference in Shanghai Several partners of HPCWE, including the Imperial College London, the University of Nottingham and the University of São

Project Management Board (PMB) meeting in Nottingham A meeting of the project management board was held in Nottingham in January 2020. It was joined by

Meeting of the EU-Brazilian partners After the HPCWE kick-off meeting on June 11th, 2019, the Brazilian coordinator, Dr. Bruno Carmo from the University of São

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

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Partners University of Nottingham Universität Stuttgart – High Performance Computing Center Imperial College London Technical University of Denmark EDF R&D University of Twente University of

Project Summary Wind energy has become increasingly important as a clean and renewable alternative to fossil fuels in the energy portfolios of both Europe and

HIGH-PERFORMANCE COMPUTING FORWIND ENERGY EU and Brazil – bringing Wind Energy Simulation towards Exascale The goal of HPCWE is to address the following key open

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