About the project
The OMRES project aims to enhance renewable energy system integration, reliability, and profitability. It will develop advanced forecasting models using atmospheric and AI-driven data analysis to improve RES power prediction accuracy by 10% and site efficiency by 5%. Fault diagnosis and lifetime extension tools for power electronics inverters will enhance Hybrid RES reliability, prolong inverter life by 20%, and ensure stable operation under sensor faults. Optimization-based sizing, bidding, and control tools will maximize profitability, increase RES owners’ profits by 15%, and enhance grid stability by 10%. A real-time digital twin framework will integrate high-accuracy models and field measurements to support innovative O&M solutions, achieving 98% modeling accuracy. These advancements will improve grid stability, enable sustainable RES operation, and support the green energy transition.
OMRES will deliver eight innovative solutions, enhancing RES forecasting, inverter reliability, hybrid RES optimization, and grid stability. The atmospheric modeling tool will improve short-term forecasting and optimal micro-siting, reducing uncertainty in RES power output. The condition monitoring and fault diagnosis tools will extend inverter lifetime, reduce failures, and lower maintenance costs. The hybrid RES sizing and bidding strategies will maximize profitability, integrating BESS degradation, market conditions, and grid constraints. The advanced grid following and grid forming control strategies will enhance RES participation in ancillary services improving grid stability and compliance with evolving regulations. Overall, OMRES will increase RES efficiency, reduce operational costs, and enhance grid resilience, supporting higher renewable penetration and a more sustainable energy transition.