MS42 Probability and Wind Energy
Prof. Michael Muskulus: email@example.com
Michael Muskulus, Professor, Department of Civil and Environmental Engineering, Norwegian University of Science and Technology NTNU, 7491 Trondheim, Norway, firstname.lastname@example.org
Nikolay Dimitrov, Senior Scientist, DTU Wind Energy, Technical University of Denmark - DTU, 4000 Roskilde, Denmark, email@example.com
Abstract of the special session：
Wind energy is an area of engineering that has seen very strong, persistent nonlinear growth in the past, a trend that is certain to continue. Indeed, offshore wind turbines are some of the biggest machines currently being built by man. Uncertainties in environmental loads, deployments in novel environments (e.g. in regions with taifun risk and/or sea ice) and the continuing increases in size pose unique challenges to the engineering community to guarantee structural safety, de-risk new technologies, and optimize operations while satisfying ever stricter requirements for cost competitiveness.
In this session we welcome contributions that use probabilistic techniques to address domain-specific challenges in this rapidly developing field. Examples are reliability-based design optimization of wind turbines, probabilistic techniques to describe environmental loads, extremes, turbine dynamics and responses, and remaining useful life, but which can also include monitoring, big data analytics, risk assessment and decision support, for example to optimize operations and inspections.
ICOSSAR 2021-2022 Secretariat
Tongji University, 1239 Siping Road, Shanghai 200092, China Email: firstname.lastname@example.org
© 2021 ICOSSAR 2021-2022 Powered by Weicheng