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  1. cordis.europa.eu

    The HPCWE consortium consists of 13 partners representing the top academic institutes, HPC centres and industries in Europe and Brazil. By exploring collaborations between Europe and Brazil, this consortium will develop novel algorithms, implement them in state-of-the-art codes and test the codes in academic and industrial cases to benefit the ...
  2. cordis.europa.eu

    The key achievements corresponding to the four objectives are listed below. 1. Efficient use of HPC resources in the simulation of flow around a wind turbine across all relevant operating conditions: 1.1 Novel algorithms have been developed and implemented for accurate simulation for flow over turbines as well as Fluid-Structure interaction (FSI) algorithm to capture the highly non-linear ...
  3. Having in mind the challenges of the application of HPC on wind flow simulations, the specific objectives of the HPCWE consortium are: • efficient use of HPC resources in wind energy simulations • accurate integration of the meso- and microscale simulations • reduction of I/O data in optimization • establishment of an EU-Brazil network
  4. The HPCWE consortium consists of 13 partners representing the top academic institutes, HPC centres and industries in Europe and Brazil. By exploring this collaboration, this consortium will develop novel algorithms, implement them in state-of-the-art codes and test the codes in academic and industrial cases to benefit the wind energy industry ...
  5. webarchiv.hlrs.de

    HPCWE Workshop 2020. 2. 15 September 2020 DTU Wind Energy HPC for Wind Resource Assessment Motivation ... 15 September 2020 DTU Wind Energy HPC for Wind Resource Assessment 12 2017-04-07 16:40:00 UTC of the pressure gradient u-velocity tendency term. A west-east vertical through Perdigao. It is the lower ABL (up to approx 1000 m).
  6. Definition of the Use Case. 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 ().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 ...
  7. imperial.ac.uk

    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. HPCWE addressed the key open challenges in applying HPC on wind energy, including efficient use of HPC resources in wind turbine simulations, accurate integration of ...
  8. HPCWE 96. Quantum Computing for HPC 98. NEASQC 100. Other projects 102. EXA MODE 104. EXSCALATE4COV 106. OPRECOMP 108. PROCESS 110. SODALITE 112. Ecosystem development 114. CASTIEL ... Data concept distinguished by the mas-sive amounts of data that must be que-ried, communicated and analysed in (near)
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