Subsurface activities (e.g., geothermal energy or CO2 storage) taking place in geological reservoirs deep underground are crucial for reducing CO2 emissions. Our knowledge of these reservoirs is incomplete because it is impossible to collect all the data needed to characterise them. Hence there are uncertainties, which can be evaluated using computer models of the reservoir. This project will develop new technologies to build better reservoir models and ensure that subsurface activities can be executed safely and sustainably. This project will also develop a new Q&A process that improves the trust by engaging the wider public when developing such subsurface activities.

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This study aims to use a coupled atmosphere-ocean-wave model to investigate the effects of offshore wind farms on ecological processes. This numerical model is able to investigate if wind fields, wave field, turbulence etc. change due to offshore wind turbines. These variables are often input data for ecological models and are thus essential to correctly model in order to investigate the effect of offshore wind turbines.

(Public) asset-owners currently struggle to assess the condition of their bridges and quay walls, often long passed their (technical) end of service-life, and to decide on measures needed. There is an urgent need for reliable and transparent knowledge and decision-support tools on maintenance prioritisation and lifetime-extension. LiveQuay provides an integrated assessment of the safety and performance of bridges and quay walls in a decision support platform that is interactive and based on values from stakeholders. Our evolving, probabilistic physics-informed machine-learning system will indicate more accurately and faster than currently, whether structures are still safe to operate or approaching failure.

This project AVIATOR aims to provide a step change in resolution and speed of visual inspection in large-scale safety critical composite structures such as airplanes by creating novel autonomous UAVs with combined vision and tactile capacities and use of advanced artificial algorithms. Currently, visual inspection is conducted by skilled operators, allowing room for human errors, and health and safety (H&S) concerns. AVIATOR will remove humans from the loop, and increase the productivity, reliability, and resolution of inspection, reducing the costs and downtime associated with inspection, and reducing the H&S risks of difficult to access locations.