Photovoltaic Systems and Net Metering in Greece

Authors

  • F. Mavromatakis Department of Electrical Engineering, Technological Educational Institute of Crete, Heraklion, Crete, Greece
  • G. Viskadouros Department of Electrical Engineering, Technological Educational Institute of Crete, Heraklion, Crete, Greece
  • H. Haritaki Department of Accounting and Finance, Technological Educational Institute of Crete, Heraklion, Crete, Greece
  • G. Xanthos Department of Business Administration, Technological Educational Institute of Crete, Heraklion, Crete, Greece
Volume: 8 | Issue: 4 | Pages: 3168-3171 | August 2018 | https://doi.org/10.48084/etasr.2197

Abstract

The latest measure for the development of photovoltaics in Greece utilizes the net-metering scheme. Under this scheme the energy produced by a PV system may be either consumed by the local loads or be injected to the grid. The final cost reported in an electricity bill depends upon the energy produced by the PV system, the energy absorbed from the grid and the energy injected to the grid. Consequently, the actual electricity consumption profile is important to estimate the benefit from the use of this renewable energy source. The state latest statistics in Greece for households reveal that the typical electrical consumption is 3750 kWh while 10244 kWh are consumed in the form of thermal energy. We adopt in our calculations the above amount of electrical energy but assume four different scenarios. These different hourly profiles are examined to study the effects of synchronization upon the final cost of energy. The above scenarios are applied to areas in different climate zones in Greece (Heraklion, Athens and Thessaloniki) to examine the dependence of the hourly profiles and the solar potential upon the financial data with respect to internal rate of return, payback times, net present value and the levelized cost of energy. These parameters are affected by the initial system cost and the financial parameters.

Keywords:

photovoltaic, net metering, modeling, financial

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References

Valentin Energy Software, PV*SOL Simulation Program for Photovoltaic Systems, Berlin, 2018

METEONORM Global Meteorological Database for Engineers, Planners and Education, Version 4.0.95, Switzerland

Greek Statistical Authority, Yearly Report, 2013, http://www.statistics.gr

Center for Rewenable Energy Sources, http://www.cres.gr

PPC, Residential Tariffs, https://www.dei.gr/en

E. Drury, P. Denholm, R. Margolis, The impact of different economic performance metrics on the perceived value of solar photovoltaics, NREL Technical Report/TP-6A20-52197, 2011 DOI: https://doi.org/10.2172/1028528

R. M. Smith, D. C. Jordan, S. R. Kurtz, Outdoor PV Module Degradation of Current-Voltage Parameters, NREL, World Renewable Energy Forum Denver, Colorado, May 13–17, 2012

F. Vignola, J. Peterson, R. Kessler, F. Lin, B. Marion, A. Anderberg, F. Mavromatakis, PV module performance after 30 year without washing, 43rd Conference of the American Solar Energy Society (SOLAR 2014), San Francisco, California, July 06-10, 2014

Interest Rates of Deposits and Loans, Bank of Greece, https://www.bankofgreece.gr/

European CO2 Emission Data, https://www.eea.europa.eu/data-and-maps/indicators/overview-of-the-electricity-production-2/assessment

C. Kost, S. Shammugam, V. Juelch, H. T. Nguyen, T. Schegl, Fraunhofer Institute for Solar Energy Systems ISE, Levelized Cost of Electricity, Renewable Energy Technologies, 2018

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How to Cite

[1]
Mavromatakis, F., Viskadouros, G., Haritaki, H. and Xanthos, G. 2018. Photovoltaic Systems and Net Metering in Greece. Engineering, Technology & Applied Science Research. 8, 4 (Aug. 2018), 3168–3171. DOI:https://doi.org/10.48084/etasr.2197.

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