The energy industry is going through a paradigm shift from a unidirectional, demand driven model with large centralised power generation to a market driven by smart grid ideals where supply and demand will be balanced with variable and intermittent renewable energies in a more localised manner. This requires intelligent systems to enable the scenarios, particularly at end user level, to satisfy demand within the peaks and troughs of the market. Enabling renewable energy integration at a distributed level is also a major element of the Clean Energy Transition. Implementing smart grid technologies at consumer sites allow end users to take control of their energy and become ‘prosumers’ with the ability to generate energy and trade in the market is central to our work.
We apply deep intelligence techniques and data analysis and visualisation tools to provide fine grained visibility on the power networks level. This includes work to further develop concepts such as Virtual Power Plants (VPPs) which will facilitate the management of a wider range of generation and storage assets.
We also work on smart grid solutions for industry, particularly those that have a degree of flexibility in the timing of their energy use. This is done through modelling their usage profile and isolating the flexibility portion of their energy networks. This facilitates the optimisation of that load against the wholesale energy market and any available onsite generation. Industry can expect energy savings, more use of renewable technologies and reductions in their carbon footprint.
From an industry perspective, this results in;
The group are also involved in researching future smart grid clusters where peer to peer sharing will facilitate energy communities, generating and consuming their energy requirements.
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