SICSA Seminar – Data-Driven Modelling and Multi-Objective Optimisation in Support of Net Zero Operations
Join us on Monday 15 June for an AI & Data Science Seminar.
Dr Ciprian Zavoianu of Robert Gordon University presents
Data-Driven Modelling and Multi-Objective Optimisation in Support of Net Zero Operations
In the ComplexOpt research group at RGU we specialise in coupling state-of-the-art non-linear optimisation techniques with efficient scenario-dependent operational simulations to design automated design space exploration techniques that can be applied to various net zero projects, providing decision-makers with optimal solutions and trade-offs suitable for secondary in-depth analysis. Whilst usually requiring high-performance or high-throughput computing resources, this AI-driven search for optimality generally improves attainable KPIs and drives an overall reduction of design and prototyping times.
Over the years, we have successfully applied this generic simulation-optimisation approach to tackle complex real-life problems aligned with the transition to net zero at various levels: individual components (e.g., robust designing in mechatronics), energy assets (e.g., optimising wind farm cable layouts), and complex systems (e.g., maximising the impact of introducing low emission vehicles in multi-modal transport systems, optimising a just transition of the workforce across legacy and new energy projects).
Dr Ciprian Zavoianu is a Senior Research Fellow in the School of Computing Engineering and Technology at RGU and leads the Net Zero Operations research programme in the National Subsea Centre where his research interests for the past 10+ years have included theoretical and practical concepts of Artificial Intelligence (AI).