Value chain stakeholders would benefit from a standard measure of energy efficiency (EE) – so that the devices, systems and software energy use can be measured and characterised. This informs user choices while motivating component improvement with a specific value proposition.

As part of the Global Register for Energy Efficient Numerical Simulation (GREENS) project, collaborators looked beyond the traditional focus of energy-efficient computing – namely the power supply and hardware – to the algorithms used and how they leveraged the hardware.

The GREENS project brings together leading experts from a range of industries, including Zenotech Ltd, Digital Engineering Ltd, University of Bristol, ANSYS and CFMS.

Engineering complex products, including aircraft, buildings, wind turbines and motor vehicles, use high fidelity computer modelling and rely on power-hungry computer hardware and specialist software. Because of this, end-users receive a large variety of performance measurement options across hardware, software and algorithm selection.

By looking across different cases and by using a variety of commercially available or open source solvers, the GREENS project participants identified the benefits that came with making adjustments to the algorithms and how those related to the hardware in question. The intention being to ensure simulations of specific types could run efficiently. CFMS acted as a digital test bed within the Global Register for Energy Efficient Numerical Simulation (GREENS) to support with the outcome of the project.

Related Case Study

Talk to us today