Posters
Come meet the poster presenters to ask them questions and discuss their work
We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in industry and the academic community.
On 9 April at 17:15, we’ll also hold the main poster session and distinguish the 7 best posters of this year’s edition with our traditional Poster Awards Ceremony. Join us at the poster area to cheer and meet the laureates, and enjoy some drinks with all poster presenters!
We look forward to seeing you there!
PO181: Use of Digital Twin in power converters for edge computing the Remaining Useful Lifetime of Semiconductor Modules
Alberto Petri, Simulation Manager - R&D Technology - Converters & Controls - Wind Energy, Ingeteam Power Technology S.A
Abstract
The wind industry is in a pivotal moment. In order to meet 2030 targets, annual wind energy installations must be accelerated. These targets demand larger turbine dimensions and capacities from Original Equipment Manufacturers (OEM), underscoring the need to prioritize turbine reliability. With non-operation times growing more costly, there's a pressing need to prioritize an optimal preventive maintenance, which maximises the availability of the wind turbine. Furthermore, in applications where optimization of operational expenditure (OPEX) is demanded, reliability of the assets is key. In Wind Energy, in particular, the size and therefore output power of the wind turbines has steadily increased in the last two decades, requiring an optimal maintenance management for increasing availability. In response to these challenges, the wind energy sector is increasingly turning to innovative solutions. One such approach is leveraging real-time prognostics to monitor the status of critical components. This proactive strategy enables operators to anticipate potential failures and minimize downtime by optimizing repair times and spare parts management. In this context, Ingeteam has developed a Digital Twin (DT) of the power converter, which models the electro-thermal nature of the Insulate Gate Bipolar Transistors (IGBTs) and allows implementing a Remaining Useful Lifetime (RUL) estimation strategy of the semiconductor modules, driven by supervised AI models and tested against real power stack test-benches. This approach allows for estimating the degradation occurring within the modules, offering critical information about their condition and expected lifespan. The digital model operates in real-time within the Converter Control Unit (CCU), harnessing the versatility and efficiency of edge computing. Additionally, a real-time temperature soft-sensor has been developed in order to monitor the IGBT junction temperature waveforms (hot-spot).
No recording available for this poster.
