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Professor, Section Head
Henrik is Section Head and Professor at the Technical University of Denmark (DTU) in Copenhagen, Section for Dynamical Systems at the Department for Applied Mathematics and Computer Sciences. Furthermore, he is Professor II at Norwegian University for Science and Technology (NTNU) in Trondheim. He has been appointed Doctor HC at Lund University. His main interests include data analysis, modelling, forecasting and control, and mostly related to energy systems and smart cities. He is leading the National Strategic Research Centre (DSF Centre) Centre for IT-Intelligent Energy Systems (CITIES). This centre aims at being a leading research centre for creating the scientific background accelerating the green transition by innovation.
In syn.ikia he is mostly involved in on how characterize, describe and activate the flexibility potential for ensuring a real-time matching of energy demand and energy production through data intelligence, cloud computing and IoT devices. More specifically he is involved in establishing grey-box models, forecasting and control. He is involved in how to establish a flexibility index which can be used for performance optimization of the demonstration cases in four different climate zones. Furthermore, he is involved in establishing the syn.ikia cloud hub which offers a central location for data storage and communication protocols.
Davide Calì is PostDoc at DTU Compute. Previously, he was researcher at E.ON ERC, RWTH Aachen University and Fraunhofer ISE. His research focuses on evaluation and modelling of occupants’ behaviour, energy systems’ evaluation & modelling, living labs experiments, production of domestic hot water, evaluation of buildings’ performance, rebound effect and energy performance gap in buildings. Furthermore, he has experience as a PL of industrial research projects on the topic HiL – smart grid and smart control of heat pumps. Davide is coordinator of uni-lab.dk (established within Flexible Energy Denmark).
In Syn.ikia, Davide is work package leader for WP4. He will be working on the modelling of the buildings, the data analyses and the development of control algorithms to achieve the energy flexibility. While producing algorithms that provide energy flexibility, he will always keep an eye on the indoor comfort of the occupants, and on the indoor environmental quality of the demonstration cases.
In syn.ikia Rune will be working on characterisation and modelling of energy flexibility, using dynamic tools such as time series analysis, grey box models and stochastic differential equations. His contributions will mainly focus on data-driven approaches, taking the top-down point of view of grid operators or aggregators.