Industrial References

From Research to Real-World Impact: Hydropower Innovation

István Selek and Joni Vasara, founders of IQnow Oy, in partnership with PVO-Vesivoima, have developed one of the world’s most advanced turbine governors for hydropower. This breakthrough is the result of over seven years of close cooperation between industry and academia, where research expertise in control theory, modeling, and digital optimization has been translated into practical solutions for modern energy systems.

Beyond performance, the innovation also reduces computational demand and mechanical wear, ensuring cost efficiency and longer equipment lifetime. Proven in real-world operation across multiple power plants, the solution advanced to the patenting stage in 2024—marking a major milestone in hydropower innovation.

References

  • Pohjolan Voima (2025). Ultrakondensaattori on valmistunut Kierikissä – Iijoella testataan uutta energiavarastoa osana sähkömarkkinaa. Link
  • STT Info (2024). Maailman kehittynein turbiinisaätäjä parantaa vesivoiman säätövoimaa – PVO-Vesivoiman ja Oulun yliopiston yhteistyö eteni patenttihakemukseen. Link
  • Pohjolan Voima (2024). Maailman kehittynein turbiinisaätäjä parantaa vesivoiman säätövoimaa – PVO-Vesivoiman ja Oulun yliopiston yhteistyö eteni patenttihakemukseen. Link
  • Pohjolan Voima (2021). Uusi turbiinisäätäjä säästää laskentatehoa ja koneistoa. Link
  • Pohjolan Voima (2020). Innovaatio säätää vesivoimalaa entistä nopeammin ja tarkemmin. Link
Academic Portfolio

Our research specializes in advanced control theory, system dynamics, and energy systems optimization, with a strong emphasis on the integration of renewable energy and hydropower in hybrid power plants. By developing and applying rigorous mathematical models, we analyze system stability, optimize dynamic performance, and design control strategies that enhance flexibility and resilience.

Building on these foundations, we also incorporate machine intelligence methods—including data-driven modeling, predictive algorithms, and Artificial Intelligence—to complement traditional system-theoretic approaches. This integration improves real-time decision making and enhances performance.

Enhancing Energy System Performance in Hybrid Hydropower Plants

Our most recent work centers on hybrid hydropower plants and their role in frequency containment reserve (FCR) provision. Related studies address challenges such as:

  • Load-sharing and stress reduction in turbine units through advanced control and storage integration.
  • Optimal energy storage sizing to balance flexibility, reliability, and mechanical stress minimization.
  • Operational perspectives on hybrid system control, combining theory with practical energy system applications.

Relevant publications

  • Vasara, J., Selek I. (2025). An analysis of an LQR design for a hybrid power plant’s load-sharing problem. IFAC Journal of Systems and Control, 33:100327. DOI:10.1016/j.ifacsc.2025.100327. Link
  • Vasara, J., Selek I., Ikonen, E. (2025). Hybrid power plant in FCR-N provision: An analysis of storage sizing in connection with turbine stress reduction. Electric Power Systems Research, 239(3):111243. DOI:10.1016/j.epsr.2024.111243. Link
  • Vasara, J., Selek I., Ikonen, E. (2024). Sizing of energy storage for hybrid power plants aiming for turbine stress reduction under FCR-N requirements. Journal of Energy Storage, 103(3):114220. DOI:10.1016/j.est.2024.114220. Link
  • Vasara, J., Selek I., Ikonen, E. (2022). Stress Reduction of Turbine Units in Hybrid Power Plants: an Operational Perspective. 2022 10th International Conference on Control, Mechatronics and Automation (ICCMA). DOI:10.1109/ICCMA56665.2022.10011607. Link