FRS Webinar - Resilience of future energy systems and Computational Data Assimilation

Talk 1:
Resilience of future energy systems to extreme weather scenarios – Recent advancements within CNDS
Malin Göteman, Uppsala University / CNDS

Abstract:
A large portion of the future energy mix is expected to be covered by offshore renewable energy sources, in particular bottom-fixed offshore wind, but also new technologies such as floating offshore wind and wave energy. The large-scale installation has already begun, and 29 GW is expected to be installed in Europe during 2022-2026. However, the increased dependency on offshore renewables may induce new risks and vulnerabilities due to existing or emerging threats. Examples of natural hazards that can pose both direct and indirect threats to the energy systems and the electric grid are extreme weather events. To analyse the impact of the extreme events on the energy systems and the society, and mitigate the emerging risks, several key knowledge gaps need to be addressed. These include an increased understanding of the hazards, the impact on the energy systems, direct or indirect impact on the electric grid, as well as strategies to handle the impact to ensure. In this talk, examples of recent progress within CNDS on all these perspectives will be presented.

Biography:
external pageMalin Götemancall_made is an Associate Professor at the Department of Electrical Engineering, Uppsala University, Sweden. Her research area is offshore renewable energy systems, with a focus on wave power systems and their resilience to extreme weather events. The Centre of Natural Hazards and Disaster Science (CNDS) is a Swedish national platform for research on the nexus between socio-technical vulnerability and extreme events. Dr. Göteman is a CNDS fellow and also the deputy director of CNDS, and supervisor of several PhD projects within CNDS.

––

Talk 2:
Computational Data Assimilation with Machine-Learning for Disaster Resilient Globally Sensitive Energy Systems
Bahri Uzunoglu, Uppsala University

Abstract:
Data assimilation is a discipline that aims to optimally fuse numerical/theoretical models of processes with sparse and inaccurate data, irregularly distributed in space and time to infer the evolving state of the system being modelled. Some of the physical and artificial processes in the energy industry and power systems can be the atmosphere, ocean, power system, electricity market, etc. while the data of these processes can be wind and water velocity, radiation, voltage, electricity price, etc. that are very sensitive to disaster conditions. Data assimilation serves to achieve the balance between the complexity of the model and available data to reduce both the complexity of the model and the data to achieve better accuracy. This serves different goals such as state estimation, parameter estimation, improving initial conditions, prediction, filtering, smoothing, global sensitivity and control. An introduction to data assimilation methods (Machine Learning equivalents) with its application examples in renewable energy industry and power systems will be presented in the context of disaster resilience with further computational twin model examples that can for interest for disaster resilience.

Biography:
external pageBahri Uzunoğlucall_made is primarily interested in developing knowledge and tools for the area of external pagecomputational and data-enabled science and engineering in energy systemscall_made. Bahri Uzunoğlu is an associate professor of the department of electrical engineering, Uppsala university, Sweden with focus on computational science of electricity, and research faculty in the department of mathematics, Florida state university, USA. He has worked on computational projects in institutions and industries of UK such as University of Liverpool, University of Southampton, Germany such as German Aerospace Centre (DLR) , Türkiye such as TÜBİTAK and USA such as Florida State University, Colorado State University, NCAR, NextEra Energy Resources, Florida Power Light, NASA with funding from agencies such as NSF (USA), DAAD (Germany), EPSRC (UK), STEM (Sweden), Horizon and ERANET (EU) in collaboration with industry and institutions. He is on the technical committee of IEEE International Conference on System Reliability and Science.