Bilde av Bordin, Chiara
Bilde av Bordin, Chiara
Institutt for informatikk chiara.bordin@uit.no +4777644630 Tromsø REALF A 219

Bordin, Chiara


Førsteamanuensis

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.


  • Sambeet Mishra, Chiara Bordin :
    A Health-Energy Nexus Perspective for Virtual Power Plants: Power Systems Resiliency and Pandemic Uncertainty Challenges
    Springer Singapore 2022 ARKIV / DOI
  • Marte Fodstad, Pedro Crespo del Granado, Lars Hellemo, Brage Rugstad Knudsen, Paolo Pisciella, Antti Silvast m.fl.:
    Next frontiers in energy system modelling: A review on challenges and the state of the art
    Renewable & Sustainable Energy Reviews 2022 ARKIV / DOI
  • Sambeet Mishra, Cletus John Crasta, Chiara Bordin, Jordi Mateo-Fornés :
    Smart contract formation enabling energy-as-a-service in a virtual power plant
    International Journal of Energy Research 2022 ARKIV / DOI
  • Sambeet Mishra, Chiara Bordin, Kota Taharaguchi, Adri Purkayastha :
    Predictive analytics beyond time series: Predicting series of events extracted from time series data
    Wind Energy 2022 ARKIV / DOI
  • Sambeet Mishra, Chiara Bordin, Qiuwei Wu, Henri Manninen :
    Resilient expansion planning of virtual power plant with an integrated energy system considering reliability criteria of lines and towers
    International Journal of Energy Research 2022 ARKIV / DOI
  • Sambeet Mishra, Chiara Bordin, Madis Leinakse, Fushuan Wen, Robert J. Howlett, Ivo Palu :
    Virtual Power Plants and Integrated Energy System: Current Status and Future Prospects
    Springer Handbooks 2022 ARKIV / DOI
  • Chiara Bordin, Sambeet Mishra, Amir Safari, Frank Eliassen :
    Educating the energy informatics specialist: opportunities and challenges in light of research and industrial trends
    SN Applied Sciences 30. mai 2021 ARKIV / DOI
  • Chiara Bordin, Asgeir Tomasgard :
    Behavioural change in green transportation: Micro-economics perspectives and optimization strategies
    Energies 2021 ARKIV / DOI
  • Chiara Bordin, Sambeet Mishra, Ivo Palu :
    A multihorizon approach for the reliability oriented network restructuring problem, considering learning effects, construction time, and cables maintenance costs
    Renewable Energy 2021 ARKIV / DOI
  • Chiara Bordin, Amin Ziagham Ahwazi, Sambeet Mishra, Alexander Horsch, Phuonghoai Ha :
    Sustainable and decarbonized data-center facilities: A socio-techno-economic discussion
    IEEE PES Innovative Smart Grid Technologies Conference Europe 2021 DOI
  • Amin Ziagham Ahwazi, Chiara Bordin, Sambeet Mishra, Phuong H. Ha, Alexander Horsch :
    VEDA - moVE DAta to balance the grid: research directions and recommendations for exploiting data centers flexibility within the power system
    Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2021 ARKIV / DOI
  • Chiara Bordin, Hans Ivar Skjelbred, Jiehong Kong, Zhirong Yang :
    Machine Learning for Hydropower Scheduling: State of the Art and Future Research Directions
    Procedia Computer Science 2020 ARKIV / DOI
  • Chiara Bordin, Anne Håkansson, Sambeet Mishra :
    Smart Energy and power systems modelling: an IoT and Cyber-Physical Systems perspective, in the context of Energy Informatics
    Procedia Computer Science 2020 ARKIV / DOI
  • Sambeet Mishra, Esin Oren, Chiara Bordin, Fushuan Wen, Ivo Palu :
    Features extraction of wind ramp events from a virtual wind park
    Energy Reports 2020 ARKIV / DOI
  • Jesus Lizana, Chiara Bordin, Talieh Rajabloo :
    Integration of solar latent heat storage towards optimal small-scale combined heat and power generation by Organic Rankine Cycle
    Journal of Energy Storage 2020 ARKIV / DOI
  • Sambeet Mishra, Chiara Bordin, Kota Taharaguchi, Ivo Palu :
    Comparison of deep learning models for multivariate prediction of time series wind power generation and temperature
    Energy Reports 2020 ARKIV / DOI
  • Sambeet Mishra, Chiara Bordin, Ivo Palu :
    RNR: Reliability oriented Network Restructuring
    IEEE conference proceedings 2019 ARKIV / DOI
  • Sambeet Mishra, Chiara Bordin, Asgeir Tomasgard, Ivo Palu :
    A multi-agent system approach for optimal microgrid expansion planning under uncertainty
    International Journal of Electrical Power & Energy Systems 2019 ARKIV / DOI
  • Sambeet Mishra, Chiara Bordin, Jordi Mateo Fornes, Ivo Palu :
    Reliability framework for power network assessment
    E3S Web of Conferences 2019 ARKIV / DOI
  • Chiara Bordin, Olve Mo :
    Including Power Management Strategies and Load Profiles in the Mathematical Optimization of Energy Storage Sizing for Fuel Consumption Reduction in Maritime Vessels
    Journal of Energy Storage 2019 ARKIV / DOI
  • Sambeet Mishra, Chiara Bordin, Christoph Würsig, Ivo Palu :
    Multivariate Scenario Generation -An Arima and Copula Approach
    International Journal of Modeling and Optimization 2019 ARKIV / DOI
  • Chiara Bordin, Asgeir Tomasgard :
    SMACS MODEL, a stochastic multihorizon approach for charging sites management, operations, design, and expansion under limited capacity conditions
    Journal of Energy Storage 2019 ARKIV / DOI
  • Chiara Bordin, Oghenetejiri Harold Anuta, Andrew Crossland, Isabel Lascurain Gutierrez, Chris J. Dent, Daniele Vigo :
    A linear programming approach for battery degradation analysis and optimization in offgrid power systems with solar energy integration
    Renewable Energy 2017 DOI
  • Ahmad Asrul Ibrahim, Behzad Kazemtabrizi, Chiara Bordin, Chris J. Dent, Joshua D. McTigue, Alexander J. White :
    Pumped thermal electricity storage for active distribution network applications
    IEEE Press 2017 DOI
  • Chiara Bordin, Angelo Gordini, Daniele Vigo :
    An optimization approach for district heating strategic network design
    European Journal of Operational Research 2016 DOI
  • Chiara Bordin :
    Mathematical Optimization Applied to Thermal and Electrical Energy Systems (PhD Thesis)
    Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Automatica e ricerca operativa, 27 Ciclo 2015 DOI
  • Chiara Bordin, Daniele Vigo, Angelo Gordini :
    Mathematical Optimisation for the Strategic Design and Extension of District Heating Networks
    2015 FULLTEKST
  • Koen van Greevenbroek, Chiara Bordin, Sambeet Mishra :
    Flexible time aggregation for energy systems modelling
    Energy Informatics 2021 ARKIV / DOI
  • Gunhild Allard Reigstad, Paula Coussy, Julian Straus, Chiara Bordin, Stefan Jaehnert, Sigmund Østtveit Størset m.fl.:
    Hydrogen for Europe - Final report of the pre-study
  • Chiara Bordin, Asgeir Tomasgard :
    Stochastic Multihorizon Approach for Charging Sites Management, Operations, Design and Expansion under Limited Capacity Conditions
  • Chiara Bordin, Asgeir Tomasgard :
    The Effect of Drivers Elasticity on The Optimal Pricing And Management Of Electric Vehicles Charging
  • Chiara Bordin, Asgeir Tomasgard :
    Smart Charging of Electric Vehicles through Indirect Control and Smart Price Signals
  • Chiara Bordin, Oghenetejiri Harold Anuta, Andrew Crossland, Isabel Lascurain Gutierrez, Chris J. Dent, Daniele Vigo :
    Linear Programming Approach for Optimal Battery Operation in Off-Grid Solar Power Schemes, with Consideration of Battery Degradation
  • Chiara Bordin, Daniele Vigo :
    A decision support tool for the optimal distribution of thermal energy
  • Chiara Bordin, Daniele Vigo :
    Optimization approach for district heating strategic network design

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    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): ARC Website

    Projects: Smart Senja

    Interview for the AIMMS community: Interview

    Google Scholar

    Linkedin

    I am pleased to be one of the guest editors of the special issue titled “Smart and Sustainable Energy Hubs for a Future Integrated Energy System” to be published in the Energies Journal by MDPI. The deadline for papers’ submission is the 15th of May 2022.

    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-3701/INF-8701 Advanced Datatbase Systems (Master level and PhD level course)

    INF-2700 Database Systems

    INF-XXXX: I am available in developing 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




    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 Energy Informatics Journal (Springer).

    Member of the Arctic Centre for Sustainable Energy (ARC): ARC Website

    Projects: Smart Senja

    Member of the AURORA Centre MASCOT (Mathematical structures in computation)

    Interview for the AIMMS community: Interview

    Google Scholar

    Linkedin

    I am pleased to be one of the guest editors of the special issue titled “Smart and Sustainable Energy Hubs for a Future Integrated Energy System” to be published in the Energies Journal by MDPI. The deadline for papers’ submission is the 15th of April 2023.