Green Energy Lab is an interdisciplinary research initiative in sustainable energy. We bring together laboratories, researchers and students to explore new technologies and systems for the green energy transition.
Our work spans experimental facilities and simulation capabilities in fluid mechanics, energy storage, advanced materials and virtual modelling.
Expertise further includes nanomaterials and molecular dynamics; computational solid and fluid mechanics, structural dynamics and impact studies; as well as control systems, sensors, AI modelling and data analysis.
With contributions from colleagues across faculties and disciplines, the Lab integrates hands-on experiments with advanced simulations and theory. Through projects at bachelor, master, PhD and postdoctoral level, we generate new knowledge and educate the next generation of engineers.
Labs
Fluid Mechanics
Conducts wind tunnel experiments in aerodynamics, turbulence and energy flows to improve the performance and efficiency of energy systems, among other topics.
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Energy Storage
Develops technologies for a circular battery economy, including digital twins for future storage solutions using mathematical modelling, machine learning, and advanced controls.
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Advanced Materials
Focuses on development of next-generation materials at the nano- and microscale, with applications in batteries, energy devices and sustainable technologies.
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Virtual Reality
Provides an immersive environment for training and research, enabling simulation of real-world engineering scenarios such as wind turbine inspection, maintenance, and industrial operation; enhances learning, safety, and technical skills through interactive experiences.
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PhD projects
Exploration of AI techniques with LIRA technology for predictive maintenance of offshore wind power cables
Enhances power cable condition monitoring by integrating AI-driven analytics with LIRA-based assessments, improving diagnostic accuracy and enabling predictive maintenance capabilities in collaboration with Wirescan AS.
Aerodynamics of floating offshore wind turbines
Investigates the effects of coupled platform motions on wake–wave interactions, with a focus on energy distribution and wake recovery rates.
Optimisation of a Eulerian-Lagrangian multiphysics solver for particle-laden flows and application in industry
Develops and validates a physics-based simulation platform for industrial powder coating, replacing trial-and-error design methods with efficient Eulerian–Lagrangian modelling of particle–flow and electrostatic interactions.
Sustainable innovation and transformative technologies for the future water industry
Explores possibilities and challenges of transformative innovations and citizen engagement with local water and sanitation systems, and their effect on environmental and economic aspects in future Oslo.
Fabrication and characterization of polymer nanocomposite solid-state electrolytes for batteries
Develops composite materials with improved mechanical properties and ionic conductivity.
Research pathways
Green Energy Lab welcomes students and early-career researchers to join. Contact us to discuss your project idea or learn more about current opportunities.