Chiara Bordin is Associate Professor with focus on teaching and research within the Energy Informatics domain.
Her main research interests are related to mathematical optimisation in the context of computer science applied to smart energy and power systems. This refers in particular (but is not limited) to: models for storage integration and storage technologies assessment; strategic network design, expansion and operation; power systems reliability oriented network restructuring and reconfiguration; multi-agent systems for microgrids coordination; stochastic multihorizon optimisation; optimal management of electrich vehicles and charging sites; integration of machine learning methodologies in the context of mathematical modelling.
Mathematical modelling and optimisation is a strong interdisciplinary and versatile subject. By combining it with computer science, power systems engineering, economics, big data analytics and machine learning, it is possible to address many research questions within the energy and power systems field, enhance analyses and look at the studied systems from different perspectives. This can provide key methodological and analytical contributions to the young and dynamic research area of Energy Informatics, with particular regard to the two major research themes of “smart energy saving systems” and “smart grids”.
Member of the Arctic Centre for Sustainable Energy (ARC): ARC Website
Projects: Smart Senja
Chiara Bordin received her master's degree in Industrial Engineering and her PhD in Operational Research at the University of Bologna (Italy). She worked as a Research Associate at the University of Durham (UK) in collaboration with the Durham Energy Institute and the Engineering Department of Cambridge University. She then worked as a Postdoc at the Norwegian University of Science and Technology (Norway). Afterwards she has been a Research Scientist in SINTEF Energy (Norway), the largest research centre in Scandinavia. She is currently Associate Professor in Energy Informatics, at the department of Computer Science (IFI) of the University of Tromsø (Norway). Throughout this path Chiara has been involved in a wide variety of interdisciplinary projects within energy and power systems, among which: heat networks strategic design; pumped thermal electricity storage for active distribution network applications; offgrid systems optimisation; battery degradation modelling; storage integration in maritime vessels; optimal design and expansion of electric vehicles charging sites; pricing strategies for electric vehicles charging; multi-agent approaches for microgrids expansion; power systems reliability; assessment of hydrogen’s role and potential within the broader energy system decarbonization objectives.
Associate Professor, Energy Informatics
Energy Informatics is an interdisciplinary domain that lies at the intersection of energy systems, power systems, energy economics, engineering, mathematics, and computer science. Energy Informatics studies information and communication technology means to more effectively manage energy resources, fossil resources as well as renewable resources. Energy Informatics includes topics such as smart grids, smart meters, demand response, smart buildings, plug-in electrical vehicles, energy storage, energy policy, energy markets and market mechanisms, smart energy and power systems modelling, green computing etc.
Two main goals of Energy Informatics are energy efficiency, and renewable energy supply.
Within the borad Energy Informatics domain, the "Smart Energy and Power Systems Modelling" discipline has a key role. It focuses on the optimal design, expansion, management and operation of energy and power systems, by including elements such as renewable sources, storage technologies, electric vehicles, smart grids, smart buildings, as well as social aspects such as nudging and demand response. It is therefore a key subject to provide a holistic understanding of the Energy and power systems issues.