Project description
More efficient supercomputing to revolutionise wind energy production
Large numbers of wind power generators are being deployed worldwide at land and sea to meet the demand for clean alternatives to fossil fuels. Each stage of the wind farm life cycle, from site assessment and development to construction and operation, produces massive amounts of data that are processed by powerful computer systems. The EU-funded HPCWE project addresses crucial computational challenges faced by wind energy industries in Europe and Brazil. These include the efficient use of computational resources in wind turbine simulations, accurate integration of meso- and micro-scale simulations, and optimisation. The project aims to deliver a step change in the use of high-performance computing regarding wind flow simulations, reshaping almost every stage of wind energy exploration.
Objective
Wind as a clean and renewable alternative to fossil fuels has become an increasingly important contributor to the energy portfolio of both Europe and Brazil. 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. The goal of HPCWE is to address the key open challenges in applying HPC on wind energy, including efficient use of HPC resources in wind turbine simulations, accurate integration of meso- and micro-scale simulations, and optimization. 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 wind energy industry and research in both Europe and Brazil.
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Funding Scheme
RIA - Research and Innovation actionCoordinator
NG7 2RD Nottingham
United Kingdom