1. 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

2. 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

3. PV Technology, University of Cyprus
12/05/2019
Introduction
2014
2016
Nicosia
19.88 MWp
MWp
Larnaca
12.27 MWp
MWp
Limassol
8.18 MWp
MWp
Paphos
8.89 MWp
MWp
Total
49.22 MWp
MWp

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

5. 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

6. 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

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Forecasting Tool

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Forecasting Tool

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Results

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Results

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

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

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

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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.

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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: E2014_UCY.pdf

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