Chiara Bordin
Stillingsbeskrivelse
Associate Professor, Energy Informatics
Chiara Bordin is Associate Professor with a focus on teaching and research within the Energy Informatics domain.
Her main research interests are related to mathematical optimization 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 optimization; optimal management of electric vehicles and charging sites; integration of machine learning methodologies in the context of mathematical modelling.
Mathematical modelling and optimization 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”.
Energy Informatics is an interdisciplinary field that combines engineering, mathematics, computer science, energy economics, power systems, and energy systems. Energy informatics researches ways to more efficiently manage fossil and renewable energy resources using information and communication technology. Smart grids, smart meters, demand response, smart buildings, plug-in electric vehicles, energy storage, energy policy, energy markets, and market processes, as well as issues like smart energy and power system modeling and green computing, are all included in the field of energy informatics.
The two main goals of Energy Informatics are energy efficiency and renewable energy supply.
Within the broad 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, and 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.
Forskningsinteresser
Chiara Bordin is Associate Professor with a focus on teaching and research within the Energy Informatics domain.
Her main research interests are related to mathematical optimization 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 optimization; optimal management of electric vehicles and charging sites; integration of machine learning methodologies in the context of mathematical modelling.
Mathematical modelling and optimization 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):
Member of the Aurora Center MASCOT (Mathematical Structures in Computation): MASCOT Website
Projects: ,
Member of the editorial board of the by Springer Open
Member of the editorial board of the by Springer Nature
I was pleased to be one of the guest editors of the special issue titled published in the Energies Journal by MDPI.
Member of the technical program committee of the following conferences:
- Energy Informatics.Academy Conference (EI.A)
- DACH+ Energy Informatics Conference
- KES Sustainability in Energy and Buildings Conference
Undervisning
INF-3010 / INF-8010: Energy Informatics - Smart Energy and Power Systems Modelling (Master level and PhD level course)
INF-3993 Special Curriculum: Mathematical optimization and machine learning for the Vehicle Routing Problem
INF-2700 Computer Networks and communication
INF-3701/INF-8701 Advanced Datatbase Systems (Master level and PhD level course)
INF-2700 Database Systems
INF-XXXX: I am available to develop and providing any tailored special curriculum course for master students interested in specialized applications of mathematical modelling, optimization, prescriptive analytics, decision science, decision support systems tools, as well as broader topics within energy informatics, energy systems, and power systems. Feel free to get in touch to discuss your specific needs and a potential tailored course design.
Capstone Projects: get in touch to discuss applications of mathematical optimization, prescriptive analytics, decision science, decision support systems tools
Medlem i forskningsgruppe
CV
Short CV
Chiara Bordin received her master's degree in Industrial Engineering at the University of Bologna (Italy). She obtained from the same university her PhD in "Control Systems Engineering and Operations Research", with a thesis focused on mathematical optimization applied to thermal and electrical energy systems. Afterward, 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 NTNU, the Norwegian University of Science and Technology (Norway). She has been a Research Scientist in SINTEF Energy (Norway), the largest research center 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; off-grid systems optimization; 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.
She is a reviewer for several high-ranked journals within publishers like Elsevier, Springer, Wiley, and others. She is an academic R&D advisor for industries and startups in the field of power systems and energy management. She is a member of the Editorial Board of the (Springer).
Member of the Arctic Centre for Sustainable Energy (ARC):
Projects:
Member of the AURORA Centre MASCOT (Mathematical structures in computation)
Interview for the AIMMS community:
I am pleased to be one of the guest editors of the special issue titled “” to be published in the Energies Journal by MDPI. The deadline for papers’ submission is the 15th of April 2023.