TwinERGY will introduce a first-of-a-kind Digital Twin framework that will incorporate the required intelligence for optimizing demand response at the local level without compromising the well-being of consumers and their daily schedules and operations. The main idea behind the conception of the TwinERGY project lies on the interest of the project partners to exploit the new business opportunities that project implementation delivers and increase the relevance of the DR optimization tools and strategies in the new generation of energy management systems. By coupling mature practice for citizen engagement with service innovation through the lenses of public value, TwinERGY will ensure that a wide range of interests and especially of consumers/prosumers will be represented and supported in the energy marketplace.
In this context, TwinERGY will develop, configure and integrate an innovative suite of tools, services and applications for consumers, enabling increase of awareness and knowledge about consumption patterns, energy behaviours, generation/ demand forecasts and increase of local intelligence via properly established Digital Twin-based Consumer-Centric Energy Management and Control Decision Support mechanisms that locally optimize demand response. Key use cases will be trialled across 4 pilot regions making use of cutting-edge methods and tools. Special focus is given on standardization and policy & market reform as key enablers for the successful commercialization of the TwinERGY results.
IES main role in the project is the development of the Digital Twin interconnected platform. This will include the development of the Digital Twin (DT), which will be based on IES calibrated physics-based models integrating data from arrays of IoT sensing and metering devices. The same models will be used to develop different energy services that will allow the building's performance optimization with respect to comfort, energy and especially, flexibility.
IES will then also examine how these individual buildings’ DTs can be aggregated to form a district modelling tool along with the energy and water networks and mobility infrastructure and assets, which will constitute a community Digital Twin. The later will have its own interface to allow active engagement and interaction with the end-users.