AI Akselos ANSA ANSYS Aras ASSESS Autodesk AweSim BETA CAE BETA CAE Systems Blogger Bruce Jenkins business of siimulation BWAY CAASE20 CAASE 2018 Cadence CAE Cenos CFD CIMdata Cloud-based CAE Cloud-based Simulation cloud computing COFES Comet Solutions computational fluid dynamics COMSOL Coreform Coreform Cubit Covid19 Simulation CREO Dassault Systemes Data Center Data Center Digital Twin data center digital twins democratization Democratized Simulation Democratizing HPC Democratizing Simulation Design Space Exploration Diabatix Digital Engineering Digital Engineering Magazine digital thread Digital Twin Digital Twins EASA Engineering.com ESRD ESTECO excel fea FMI Front End Analytics Future Facilities Generative Design GKN Driveline Hexagon Hexagon MSC Hexagon MSC Software High Performance Cloud Computing HPC Intelligent Templates Internet of Things intrinSim Joe Walsh Kenneth Wong Kinetic Vision Malcolm Panthaki Matt Ladzinski Maya HTT MBSE Michael Alba Modelica Modelon MSC Software Multi Physics Simulation MultiPhysics Simulation NAFEMS NAFEMS America Novus Nexus nTopology ohio supercomputer center OnScale Open Standards Ora Research PASS Software Phoenix Integration Pointwise PTC Rev-Sim Rev-Sim.org Revolution in Simulation Seb Dewhurst Siemens Siemens NX Siemens Simcenter Siemens Xcelerator Sim Apps SimApps Simcenter SimScale Simulation Simulation Applications Simulation Apps Simulation Automation Simulation Governance SolidWorks SOLIDWORKS Simulation SPDM spreadsheet System Simulation Template-Based Simulation The UberCloud UberCloud Uber Cloud VCollab web app Xcelerator

Swiss Developing Turbine Design and Assessment Tool

October 8, 2020 – Akselos and École Polytechnique Fédérale de Lausanne (EPFL) have won a CHF 1.2 million grant from the Swiss Innovation Agency (Innosuisse) to deliver a next-generation structural design and assessment tool for wind turbines. The grant is part of a project that aims to increase the computational capabilities of wind turbine applications, lowering the Levelised Cost of Electricity (LCoE) of wind power overall.

The research is expected to expand the engineering limits of new turbine designs. According to the partners, currently, the high computational demands of simulating large assets such as turbines in harsh conditions limits the number of designs that can be explored, leading to non-optimal designs and higher energy cost.

“This grant allows us to keep working at the cutting edge of computational design and engineering,” said Annalisa Buffa from EPFL and member of the Presiding Board of the National Research Council for the Swiss National Science Foundation. “

“It’s hugely exciting to be able to work on problems of such economic and societal importance as managing the energy transition. By developing superior designs, we can help governments and operators generate clean, sustainable power for future generations.”