Aston University is developing complex data theory for Alstom’s UK Grid business to help the company design and build smarter, more stable and environmentally friendly energy grid networks.
Alstom will work with Aston’s Non-Linearity and Complexity Research Group (NCRG), which is engaged in the analysis of complex data and systems using various techniques, including methods adopted from statistical physics.
A three-year PhD studentship project will see the development of theory and methodology capable of managing complex and fluctuating electrical grid networks and associated logistic challenges in the future.
According to a statement, this will include exploring how data and information can best be visualised and presented throughout the business where effective network control requires clear and informative representation of data.
The project was awarded through the Industrial Mathematics Knowledge Transfer Network and is part funded by the EPSRC.
David Saad, professor of informatics and academic lead on the project, said: ‘We are delighted to be involved in this project, which will showcase how probabilistic methods and analysis can work in practice to help organisations find solutions to complex data problems.
‘This is particularly important for energy companies needing to find greater system efficiencies with grids and power networks facing increased capacity pressures, as well as volatility in both production and demand.
‘The focus of this research, including the application of distributive probabilistic methods and visual informatics, could also be used for other areas such as telecommunication and traffic networks, and therefore has the potential for broader technology transfer.’
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