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.
PO101: Synthetic Atypical Profiles for Renewable Resource Planning Under Climate Stress
Izan Sanz, Researcher, CIRCE Technology Center
Abstract
Climate change is intensifying meteorological atypical, alternating prolonged droughts with torrential rainfall and high wind events. These phenomena pose significant challenges to the deployment and operation of renewable energy projects, altering their performance and infrastructure needs dramatically [1], [2]. This work presents the development of a novel tool designed to generate synthetic atypical profiles of renewable resources, aimed at enhancing the planning and operational resilience of wind farms. The tool simulates wind, solar radiation, and precipitation profiles that are statistically consistent with observed climatological data, yet flexible enough to explore atypical scenarios. Such simulations enable developers to better assess project behaviour under adverse conditions, while plant operators can design more effective and safer maintenance strategies. This is particularly relevant as climate variability increases the frequency and intensity of disruptive events, requiring more robust planning frameworks. A key innovation of the tool lies in its ability to preserve temporal and spatial correlations across generated data. It produces interdependent series every 30 km, tailored to atypical conditions defined at a specific location and time, making it especially valuable for integrated planning studies and regional grid assessments. As a demonstrator, the Iberian Peninsula was selected, with 837 control points distributed across the region. The tool incorporates 25 years of historical meteorological data (mean and atypical wind speeds, solar radiation, and rainfall), along with ERA5 hourly data (ECMWF) climate data store, and the forecasts for the next years [3]. It establishes dynamic relationships between climatologist at different points and times. By inputting specific climatological conditions, such as wind speed, solar radiation, and precipitation, at any control point and time, the tool simulates how these conditions propagate spatially and evolve temporally across the network. This predictive capability supports mitigation planning, enhances operational safety, and reduces costs, contributing to more resilient and adaptive renewable energy systems.
No recording available for this poster.
