PV Prediction and Live Monitoring Tool for PV Systems in Cyprus PV Technology, University of Cyprus 12/05/2019 PV Prediction and Live Monitoring Tool for PV Systems in Cyprus Name: Spyros Theocharides Supervisor: Dr. George E. Georghiou Date : 07/10/2016

PV Technology, University of Cyprus 12/05/2019 Contents Introduction Forecasting Methods Development Phases of the Tool Mathematical Model Forecasting Tool Results Comparisons Tool Future Work Conclusion Reference

PV Technology, University of Cyprus 12/05/2019 Introduction 2014 2016 Nicosia 19.88 MWp 36.609 MWp Larnaca 12.27 MWp 19.144 MWp Limassol 8.18 MWp 15.649 MWp Paphos 8.89 MWp 12.626 MWp Total 49.22 MWp 84.028 MWp

PV Technology, University of Cyprus 12/05/2019 Forecasting Methods

Development Phases of the Tool 12/05/2019 Development Phases of the Tool Phase 1 Long Term Prediction (24h ahead) Cyprus as one district Data from Meteorological Service of Cyprus Phase 2 24h ahead Prediction Cyprus Broke into 4 districts Data from Meteorological Weather Service and Weather Stations Phase 3 Short Term Prediction (1h ahead) Use of Weather Data prediction Phase 4 Long and Short Term Prediction Development of Training System to improve the accuracy of the Prediction

PV Technology, University of Cyprus Mathematical Model A: Module Area DC Power ηSTC: Standard Test Conditions Efficiency ηT: Temperature Correction Parameter GPOA: POA(Plain of Array) Irradiance AC Power ηL: Cabling and Inverter Loses

12/05/2019 Forecasting Tool

12/05/2019 Forecasting Tool

12/05/2019 Results

12/05/2019 Results

PV Technology, University of Cyprus 12/05/2019 Comparison Tool Export Graphs

PV Technology, University of Cyprus 12/05/2019 Comparison Tool

PV Technology, University of Cyprus 12/05/2019 Future Work

12/05/2019 Conclusion PV power Prediction has an important role for the development of photovoltaic systems in Cyprus and in any other place. The Forecasting and Comparison Tool are in continuous operation, hosted on a classified server of Electricity Authority of Cyprus. Further research done to increase the accuracy of the prediction.

12/05/2019 Reference Koumparou, I. (2014). The development of a forecasting tool for predicting the energy yield from PV systems in Cyprus. In: SmartPV. [online] Athens: SmartPV, pp.1-3. Available at: http://www.smartpvproject.eu/uploads/MEDPOWER%20CONFERENC E2014_UCY.pdf

Thank you for your attention PV Technology, University of Cyprus 12/05/2019 Spyros Theocharides University of Cyprus Thank you for your attention Questions?