During this one-day technical seminar, the PhD students of the Power Electronics Systems and Components (PESC) research group at NTNU will present their PhD projects and research outcome. Room: EL1, Bldg: E-Elektro, NTNU Campus, Trondheim, Sor-Trondelag, Norway, 7491
Lecture by Minyang Lu (Deputy Secretary-General of CGIA, Deputy Director of China-Europe Cooperation Graphene Innovation Center) Co-sponsored by: VINNOVA Competence Centre 2D-TECH; Graphene Center at Chalmers (GCC) Speaker(s): Minyang Lu, Deputy Secretary-General of CGIA, Deputy Director, IRL at MC2 fasrummet , Kemivägen 9, Göteborg, Vastra Gotalands lan, Sweden, 41258, Virtual: https://events.vtools.ieee.org/m/372614
The power system industry is shifting towards a new digitalization era to better manage risk within volatile energy commodities, increase customer engagement, and enhance efficiency via grid optimization. Data analytics play a vital role in this transformation and, as such, different measurement architectures have been used and implemented to facilitate data capturing process and supervisory control at the generation, transmission, and distribution levels. This seminar will briefly review the recent outcomes of some smart grid challenges addressed by novel prediction techniques. At the generation level, decomposition techniques have been applied to handle the inherent uncertainty in short-term wind power prediction. At the transmission level, dynamic thermal line rating prediction has been studied as a viable solution to reduce congestion and utilize the actual capacity of the line. Considering the high inclusion of phasor measurement units at the transmission level, cutting-edge methods have been proposed to address stability status prediction of the grid following a contingency. Finally, at the distribution level, real-life data obtained from advanced metering infrastructure have been used for load prediction and customer segmentation. Virtual: https://events.vtools.ieee.org/m/365507
The present seminar is focused on the role of physics-inspired feature generation in improving the performance of machine learning-based pipelines and enhancing their physical interpretability. Simulating the thermal processes taking place in indoor environments and estimating the buildings' characteristics from smart meter data are specifically presented as case studies. The impact of selecting the most promising set of features on reducing the pipelines' dimensionality and facilitating the physical interpretation of the models is also discussed. Speaker(s): Behzad, Inndalsveien 28, Bergen, Vestfold, Norway, 5063, Virtual: https://events.vtools.ieee.org/m/370098
WHAT: The workshop will address issues of recycling and recovery of glass fibers (GF). It will consist of presentations from composite and LCA analysis experts showing success stories of recycling/recovery of glass fibers followed by discussion panel with representation from academia and relevant industries. HOW: The presentations/discussion will address feasibility of GF recovery from the point of view of sustainability as well as show that it is part of circular economy. During the workshop participating companies will have possibility to describe their needs in terms of recycling/recovery of GF and have opportunity for networking with experts from academia. Co-sponsored by: Intereg Baltic sea Room: 3120, Bldg: Egeskoven in Birk , Aarhus University Herning, Birk Centerpark 15, Herning, Arhus Amt, Denmark, 7400, Virtual: https://events.vtools.ieee.org/m/373906
Det blir mangel på systembærende tjenester i fremtiden. Hvordan løser vi det? Er fasekompensatorer svaret, eller ligger svaret i nettskapende omformere? Hva med vern-problematikken? Hvordan er det med distribusjonsnettet? Speaker(s): , , Nydalen allé 33, Oslo, Oslo, Norway, Virtual: https://events.vtools.ieee.org/m/365509
The digital revolution has brought about transformative changes in the global power and energy systems, presenting unprecedented opportunities to address crucial challenges such as climate change and the growing demand for electrification. Through the utilization of digital data and advanced analytics, organizations can achieve cost savings in operations and maintenance, optimize power plant and network efficiency, minimize unplanned outages and downtime, and maximize the lifespan of valuable assets. According to the International Energy Agency (IEA), the adoption of digitally-enabled measures could potentially result in substantial savings of around USD 80 billion per year from 2016 to 2040. To fully harness the benefits of digitalization and embrace this new era, it is essential to explore novel methods and strategies for digital asset maintenance and management within energy systems and infrastructure. This talk aims to provide an overview of recent developments in this field, offering insights into innovative approaches and technologies that can drive efficiency and effectiveness. Attendees will have the opportunity to gain knowledge about the latest trends and practical considerations, enabling them to navigate the ongoing digital transformation in the energy sector. Co-sponsored by: The western Norway University of applied science Speaker(s): Hamid, Virtual: https://events.vtools.ieee.org/m/368772
- 12:00-12:10 Welcome, Introduction & Photo session - 12:10-12:35 Talk 1 Mr. Jiawei Xiong (Guest PhD student; LTU, Sweden; Best Paper Award Winner of 2022 IEEE Global Reliability & PHM conference): Generating Controlled Physics-Informed Time-to-failure Trajectories for Prognostics in Unseen Operational Conditions - 12:35-13:00 Talk 2 Dr. Haidong Shao (Asso. Prof.; Hunan University, China; 2020-2022 World's Top 2% Scientists): Towards data-poor and knowledge-rich machinery fault diagnosis - More questions after 13:00 Virtual: https://events.vtools.ieee.org/m/376914
- 13:00-13:10 Welcome, Introduction & Photo session - 13:10-13:45 Prof. Lina Bertling Tjernberg (The Royal Institute of Technology (KTH), Sweden): Predictive maintenance and lifetime extension models for electrical equipment - 13:45-14:00 Questions and Discussions Virtual: https://events.vtools.ieee.org/m/378256
This is an industrial technical seminar organized in the frame of the advanced power electronics course at the Norwegian University of Science and Technology, in Trondheim. During this seminar, two invited talks are planned. The first one will be from Rolls Royce Aviation Trondheim and thr second one from Eltek AS Drammen. The focus of these seminars will be industrial applications of wide bandgap power semiconductors (SiC and GaN). Room: F6, Trondheim, Sor-Trondelag, Norway