ImproveFLOW's goal is to facilitate more cost-effective design of floating wind units and farms by developing methods and tools for coupled analysis of wind, wave, current and mooring forces on wind turbines and floaters, as well calculation of interaction effects in wind farms due to turbine wakes and shared moorings.
A Visual-Tactile Perception and Control Framework for Advanced Manipulation of 3D Compliant Objects.
CaptureX - Socio-technical drivers, opportunities and challenges for large-scale CCUS
CaptureX aims to develop new knowledge about drivers, opportunities and challenges for realizing large-scale CCS and CCU.
INTERPORT – Integrated energy systems in ports
In this knowledge-building project for industry, we develop sustainable solutions for ports as energy hubs, contributing to Norway's transition to a zero-emission society.
LandSkape - Hybrid Physical-Based Deep Learning for Fast and Reliable Wind Flow Estimation
Helping to ensure the overall well-being, safety, and comfort in pedestrian zones in building assessment is very important. Current technology used for wind flow calculation results in accurate assessment of wind comfort but has the drawback of being extremely time consuming and then not suitable for fast iteraction for end users like architects or urban planner. We believe that current AI tecniques can help in defining surrogate models able to quickly estimate the output of those simulations and then useful as core methods tools for smart building assessment frameworks.
MARMAN - Maritime Resilience Management of an Integrated Transport System
Resilience, safety and security are significant when introducing autonomous vessels in the Maritime Transport Systems (MTS). A resilience-based knowledge foundation for governance, management and work practice will be developed, ensuring an integrated MTS. New knowledge will be provided on opportunities, in addition to potential vulnerabilities, brittleness and risks.
ResiFarm - Resilient Robotic Autonomy for Underwater Operations in Fish Farms
Management of sea-based fish farms typically entails manual, and often challenging, inspection operations to monitor equipment, structures and biomass, which may result in sub-optimal and costly operations, insufficient maintenance, a general lack of control in daily routines and potential high risks for welfare of personnel and fish. This implies a need for new methods and technology for operations in modern fish farms, especially when moving operations to more exposed locations with more challenging environmental conditions, and when using new farm designs.