Photo: UiT
Yngve Birkelund
Job description
Professor in renewable energy. Department of physics and technology
Research interests
Renewable energy, wind power resources, wind power prediction, time series analysis, machine learning, statistical signal processing, nonlinear systems, higher order statistics, microwaves, ultrasound and hypertermia.
Autumn 2025 - Spring 2026: Researcg sabattical at National Center for Atmospheric Research (NCAR), Boulder, Colorado
Research projects:
- Smart Senja: https://smartsenja.no/en
- nICE: https://en.uit.no/project/nice
Supervision of PhD students:
- Martin Hansen Skjelvareid (2012): Synthetic aperture ultrasound imaging with applicaiton to interior pipe inspection
- Øystein Klemetsen (2012): Design and evaluation of a medical microwave radiometer for observing temperature gradients subcutaneously in the human body
- Thomas Beka (2016): Geoelectrical structures beneath Spitsbergen-Svalbard derived from magnetotelluric imaging
- Muhammad Bilal (2016): Wind Energy at Nygårdsfjellet – Norway. Wind field characterization and modelling
- Jia Yi Yin (2021): Study of Atmospheric Ice Accretion on Wind Turbine Blades (co-supervisor)
- Hao Chen (2022): Data-driven Arctic wind energy analysis by statistical and machine learning approaches
Albara Mustafa (2023): Risk and Resilience Assessment of Wind Farms Performance in Cold Climate Regions (medveileder) - Kine Solbakken (ongoing) - Numerical wind modelling in complex terrain
- Pravin Punde (ongoing) - Numerical weather prediction modelling and ice accretion on structures
Teaching
Recent courses:
- FYS-2024 Solar and wind energy systems
- FYS-1008 Fornybar energi, bærekraft og samfunn
- FYS-3034 Wind modelling in complex terrain
- FYS-2017 Sustainable energy
- ELE-3601 Renewable energy - Generation and conversion
- FYS-2006 Signal processing
Older topics/experience:
- FYS-1006 Innføring i signaler og sensorer
- FYS-2007 Statistical signal theory / STA-2003 Tidsrekker
- FYS-2014 Digital design
- FYS-3027 Geothermal energy
- FYS-3011 Detection theory
- MNF-6001 Temaer i Naturfag trinn I
- AUT-1001 Programmering med mikrokontroller
- AUT-2005 Reguleringsteknikk
Development and projects:
- Flexible introductory courses in physics (FYS-0100)
- Education in science for teachers (MNF-6001/6002)
Supervision of master's students:
- Milla Regine Antonsen Hjallar (2025): Modelling ice throw trajectories from wind turbines
- Isak Leonardsen (2024): Assessing ice rate and ice load at Davvi wind farm using WRF model with wind turbine scheme
- Nilolai Enok Anfeltmo (2024): Implementing renewable energy technologies in buildings: impacts of local-specific conditions, intermittency and volatile power markets
- Oluwatimilehin Israel Osunlola (2024): Wind resource assessment using LiDAR
- Jonas Mund Strand (2023): Atmospheric in-cloud icing using WRF for an alpine wind power plant in Kvænangen
- Kristine Rein (2023): Comparison of numerical wind modelling on hectometric and km scales at Kvitfjell wind power plant
- Martine Bjugg (2023): Wind resource assessment and siting for the expansion of Fakken wind park
- Eiliv Erik Ulrich Løchen (2023): Solenergi i mikronett ved gårdsbruk på Røros
- Rikke Bjarnesen Andersen (2023) - Medveileder: Forecasting Wind Turbine Production Losses due to Icing
- Julie Svane (2022): Wind power forecasting as input to day-ahead trading strategies for wind in complex terrain
- Ola Wang Ørjavik (2022): Wind energy and economic assessment of a wind farm at Senja
- Brynhild Bentsen Sæther (2021 - co-supervisor): Wind power prediction with machine learning methods in complex terrain areas
- Gjøran Emil Hansen (2020): Wind at Northern Senja: Use of numerical weather prediction models for wind resource assessment
- Paul Bednorz (2019): Decentralized wind power as part of the relief for an overstrained grid. A case study on Northern Senja, Norway
- Anders Aarhuus Fossem (2019): Wind resource assessment using weather research and forecasting model. A case study of the wind resources at Havøygavlen wind farm
- Andreas Aarhuus Fossem (2019): Short-term wind power prediction models in complex terrain based on statistical time series analysis
- Lars Marius Rannekleiv (2019): Estimation of power supply by renewable energy sources to a weather station at Nordlysobservatoriet, Alta
- Torgeir Blæsterdalen (2016 - co-supervisor): Wind resource assessment using mesoscale modelling. A case study at the potential wind farm site Rieppi
- Morten Jacobsen (2014): Short-term wind power prediction based on Markov chain and numerical weather prediction models: A case study of Fakken wind farm
- Malin Abrahamsen (2013): Coastal wind from SAR and NWP model for offshore wind power production
- Julianne Iversen (2013): Geothermal energy and district heating in Ny-Ålesund, Svalbard
- Eivind Kristoffersen (2013): Grunn geotermisk energi i et hybrid energisystem
- Kjell Øystein Netland (2012): Undervisning av globale klimaendringar
- Yudong Yin (2012): Non-invasive temperature measurement for breast cancer detection
- Silje Sanderud Haaland (2011): Estimating production loss due to icing on wind turbines
- Helge Øberg (2011): Ultrasound sensor for biomedical applications
- Rolf Andersen (2009): Monostatisk antennearray for UWB radar
- Kristoffer Ryeng (2008 - co-supervisor): Aktive antenner for ultrabredbånd-radar
til deteksjon av brystkreft
