INDIGO involves the development of a highly efficient and intelligent DC system based on the development of an innovative and optimized DC system Management Strategy, and the integration of predictive controllers at component level, some of them including self-learning algorithms for accuracy improvement. Besides, open source tools and guidelines will be developed within the project in order to provide more confidence and thus more openness to DC systems development and use.
This project has received funding from EU H2020 programme under GA nº 696098
Our role in the project is both technical and non-technical. From the technical point of view, we are developing dynamic energy models of the buildings. In particular, we are dealing with the model of the cooling demand from the point of view of the building envelope. Therefore we are modeling the envelope characteristics, its geometry, the internal thermal loads, the weather data. From the non-technical point of view, we are dealing with the dissemination, i.e. with the diffusion of ideas and concepts that are developed in the project. Moreover, we are dealing with the exploitation, i.e. we want the developed ideas not to die at the end of the project, but we want that they will have practical applications, in order to improve the DC systems really.