13-14 September 2018, Lancaster University, Lancaster UK

The rapid growth and accessibility of new and increasingly powerful high-performance computing (HPC) technologies and hardware can enable the use of high-fidelity computational fluid dynamics (CFD) codes based on first-principles, such as the Navier-Stokes equations, for substantially improving renewable energy power plant analysis and design, thus greatly improving power generation effectiveness while minimizing potential environmental damage.

In offshore renewable energy, this requires reliably modelling the flow past wind and tidal turbines, as well as the complex physics of atmospheric flows and marine currents. The use of high-fidelity CFD for these applications relies on the massive and efficient use of HPC due to the large size of these real-world simulations.  

Augmenting state-of-art CFD codes with the latest HPC technologies to enable their effective use for these problems, while maintaining user-friendliness and achieving an optimal computational performance, poses significant scientific and technological challenges; addressing these challenges requires tight team-work of Engineers, Physicists of the Environment, and Scientific Computing experts.

The two-day HPC-based CFD for Offshore Renewable Energy (HPC-CORE) workshop brings together academic and industry experts in Engineering, Atmospheric and Environmental Sciences, and Scientific Computing to: a) highlight the state-of-the-art in high-fidelity computational technologies for offshore renewable energy applications, and b) discuss the challenges and solutions to using CFD for extremely large realistic problems, requiring optimal exploitation of massive HPC resources.

HPC-CORE targeted applications and supporting HPC technologies include, but are not limited to:

  • Wind and tidal turbine fluid dynamics.
  • Wave load modelling for offshore floating turbine design.
  • Wake/turbine interaction modelling in wind farm and tidal array flow analysis.
  • Novel approaches and demonstrations of distributed and/or shared memory parallelization methods, including Graphics Processing Units.
  • Parallel large input/output data handling (e.g. HDF5).

On date TBC there will be a panel session to allow further discussion on the main topics addressed at the workshop.


The workshop will take place in a Lecture Theatre of the Lancaster University Management School.


Extended abstracts of one to two pages on one or more of the themes above and other related areas are invited, and should be submitted by 1 June 2018. Presentations will be 20 minutes, followed by 10 minutes for discussion. Extended abstracts should include name, affiliation and e-mail address of the corresponding author. The submission outcome will be notified by 29 June 2018. The extended abstracts and inquiries should be sent to hpc.core.workshop(@)gmail.com.

The list of presenters and their accepted abstracts will be made available on this website. Following the workshop, presentations will also be published on this website where the presenter agrees to this.

Both presenting and non-presenting attendees should register by sending an email to hpc.core.workshop(@)gmail.com by 27 July 2018. The registration is free and a buffet lunch will be provided on both days of the workshop.


  • To be announced.


The workshop is supported by the Faculty of Science and Technology and  the research centre Energy Lancaster of Lancaster University, UK.