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.
PO510: Data-driven maintenance and reliability strategies for wind turbines
Ana Simarro-García, Energy Systems & Simulation Specialist, RES Group
Abstract
Current modern Operation & Maintenance (O&M) services in the field of renewable energy are tied to the use of a SCADA system, which is, in turn, linked to a software that help technicians and analyst to make sense of the RAW data gathered by the SCADA system. This off-the-shelf software satisfy a clear and essential necessity, but holds, at the same time, lots of inconveniences, in terms of vendor lock-in, dependence of external customer assistance services, imposed dataflows and even analysis methodologies, etc. Even if this is the de-facto standard way to operate in this sector, there is still room for improvement in the management of data for maintenance purposes. In fact, thanks to the evolution of general-purpose programming languages, the growth of programming forums on the Internet and the recent outburst of AI agents that help to code, it is perfectly possible to develop software completely tailored to the necessities of an O&M service provider, carrying out all the tasks involved in the process of maintaining any sort of renewable energy facility. This abstract presents a technical contribution focused on enhancing the reliability, maintainability, and industrial feasibility of wind turbines through advanced data-driven maintenance strategies. Combining modern general-purpose programming languages and novel signal monitoring techniques and potential analysis tools, it is possible to take a step forward in the field of technology used in O&M, developing innovative fault diagnostic and decision-support tools that are completely data-driven, exploiting the benefits that open-source technologies offer to the market. In this work, it is explored how these new data-based maintenance strategies can help technicians improve the quality of their services while also becoming more efficient in delivering them. The work is conducted within the Horizon Europe project MADE4WIND [GA no. 101136096].
No recording available for this poster.
