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  1. 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 ...
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  3. 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 ...
  4. HPCWE main goal is to establish an EU-Brazil strategic partnership in wind energy applications. Start date: June 2019, 24 months duration EU contribution: approx. 2 Million Euros, match funding from Brazilian research council The role of HPCWE is to coordinate the action of universities, companies and consultancies with
  5. 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 ...
  6. 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 ...
  7. 2. Algorithm -temporal fusion Considering the high-fidelity data, F h, is a function of time tand the low fidelity data F l. F h (t) = g (t, F l (t)) ~ GP( m, k) m is the mean function, and k is the covariance matrix function. Nonlinear auto-regressive Gaussian Process (further taking into account the derivations of the low fidelity data): F ...
  8. repository.gsi.de

    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 ...
  9. The HPCWE consortium consists of 11 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 and research in both Europe and Brazil.
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