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Project at a glance

Objectives

The Operation, Maintenance and digital twin solutions for hybrid Renewable Energy Sources (OMRES) project aims to strengthen the operation, maintenance, and market integration of hybrid renewable energy systems (RES) by addressing challenges related to forecasting accuracy, inverter reliability, and optimal participation in electricity markets. The project will deliver advanced digital tools and a real-time digital twin environment to maximize profitability, reliability, and sustainability.

 

Key Goals: 

  1. Advanced Forecasting Tool
    • Develop high-accuracy forecasting models combining atmospheric and geospatial data.
    • Improve RES power prediction accuracy by 10% and increase site efficiency through optimal micro-siting.
  2. Reliability and Fault Diagnosis Tool
    • Create real-time monitoring and diagnostics for inverters and BESS systems.
    • Extend inverter lifetime by 20% through proactive control and intelligent fault diagnosis.
  3. Optimal Planning and Bidding Tool
    • Provide methods for optimal sizing of hybrid RES (wind–PV–BESS) sites.
    • Improve profitability by 15% and reduce market imbalances by 10% with advanced bidding strategies.
  4. Digital Twin Framework (OMRESREPLICA)
    • Develop a high-fidelity digital twin to simulate RES, BESS, and grid behavior.
    • Enable safe, real-time testing and validation of planning, control, and bidding tools.

Impact

  • Enhance the competitiveness, profitability, and lifetime of renewable energy investments.
  • Facilitate higher integration of RES into the grid while improving stability and reliability.
  • Provide energy stakeholders with cutting-edge tools for forecasting, diagnostics, and operation.
  • Support Europe’s transition towards a climate-neutral and sustainable energy future.

Consortium

Strong partnership comprising three academic and one industrial partner.

Acknowledgement

This research was funded by CETPartnership, the Clean Energy Transition Partnership under the 2023 joint call for research proposals, co-funded by the European Commission (GA N°101069750), the Research and Innovation Foundation of Cyprus (EP/CETP/0923/0059), the Innovation Fund Denmark, and the Agence Nationale de la Recherche.