Correlation of Dust models on PV Energy production – PV-DUST
Environmental regulations force electricity market players to look for cleaner energy and cost-effective solutions. Therefore, most government policies aim to promote the utilization of Renewable Energy Sources (RES). Photovoltaics (PV) systems have already made a noticeable contribution to the national electricity portfolio in some countries and its penetration is expected to play a much larger role in the future. However, the intermittent character of PV power output could generate major issues in balancing power production and load demand. Therefore, control and operation problems for users and administrators of the electricity grid may ensue because of the unstable power production of a PV system due to sudden surpluses or drops in power output.
The ability to accurately predict the PV power production variability, when it occurs, will thus help system operators to monitor production and control the periodic energy to their scheduling, dispatching, and regulation of power by cutback the excess energy and/or modify the operational setting of the respective voltage converters. The overall goal of the project is to develop various forecasting/correlation models and thus provide the energy sector an operational management tool for precise forecasts of solar energy production through an open communication protocol. It aims to indirectly increase the flexibility of the electricity grid by enabling both at the TSO level (grid management) and at the PV Park Owner level (pricing/storage management), due to more precise PV energy forecasting.
This project is funded by the European Union Recovery and Resilience Facility of the NextGenerationEU instrument, through the Cyprus Research and Innovation Foundation (COM-CONCEPT-ENERGY/0624/0159)
Funding: €194,110
Start date: 01/4/2025
End date: 31/03/2026
Partners:
- Cyprus University of Technology
- The Cyprus Institute
- Johnsun Heaters Ltd
- Cocoon Creations Services Ltd
