Use of solar radiation data from HelioClim database for shortterm PY system power output prediction for Polish localization

• Autorzy: Chwieduk M.
• Języki publikacji: EN

Abstrakty

EN

Installed power of photovoltaics systems in Poland grow systematically. Annual contribution of energy produced from PV systems in Polish power system is still on the low level. Due to irregular and stochastic characteristic of solar radiation distribution during the year in specific weather conditions power supplied by PV system might have impact on operation of electric grid. Such situations occur more often in European countries that developed solar energy sources in their power system. Due to power grid balancing and its stability, prediction of power generation in renewable energy sources become more important. On the other hand development of earth observation techniques give new tool for accurate solar radiation data acquisition and its prediction. Article presents model of energy production of PV system based on data from HelioClim database. HelioClim database stores solar radiation data obtained from Meteosat images received from Eumetsat. It also contains 24 hour solar radiation prediction model. PV system model is validated for historical data and used to predict energy output from a specific system. Received prediction of energy production is compared with real output power of a system.

Słowa kluczowe

EN

PV system; solar radiation; HelioClim database

PL

system PV; promieniowanie; HelioClim

• Wydawca: Polskie Towarzystwo Energetyki Słonecznej PTES - ISES
• Czasopismo: Polska Energetyka Słoneczna
• Rocznik: 2017
• Tom: nr 1-4
• Strony: 1--6
• Opis fizyczny: Bibliogr. 9 poz., tab., wykr.

Twórcy

autor

Chwieduk M.

• Instytut Techniki Cieplnej, Wydział Mechaniczny Energetyki i Lotnictwa, Politechnika Warszawska, Warszawa, Polska

Bibliografia

• Pelland S., Remund J., Kleissl J., Oozeki T., Brabandere K., “Photovoltaic and Solar Forecasting: State of the Art", INTERNATIONAL ENERGY AGENCY, PHOTOVOLTAIC POWER SYSTEMS PROGRAMME - IEA PVPS Task 14, Subtask 3.1, Report IEA‐PVPS T14‐01: 2013, October 2013
• Perez R, Kivalov S, Schlemmer J, Hemker K Jr., Renne D, Hoff TE, “Validation of short and medium term operational solar radiation forecasts in the US”, Solar Energy, 2010
• Kleissl J. (editor), “Solar Resource Assessment and Forecasting”, Elsevier, 2013
• SODA Portal - http://www.soda-pro.com/
• Pietruszko S., Fetlinski B., Bialecki M., „Analysis of the performance of grid connected photovoltaic system”, Photovoltaic Specialists Conference (PVSC) 34th IEEE, 2009
• Pietruszko S., Gadzki M., „1 kW grid-connected PV system after two years of monitoring”, Optoelectronic Review 12(1), p. 91-93, 2004
• Skoplaki E., Boudouvis AG., Palyvos JA., „A simple correlation for the operating temperature of photovoltaic modules of arbitrary mounting”, Solar Energy Materials & Solar Cells 92: p. 1393-1402, 2008
• Brihmat F., Mekhtoub S., „PV Cell Temperature/ PV Power Output Relationships Homer Methodology Calculation”, Conférence Internationale des Energies Renouvelables "CIER’13", International Journal of Scientific Research & Engineering Technology, 2014
• Skoczek A., Virtuani A., Cebecauer T., Chianese D., „Energy yield prediction of Amorphous Silicon PV modules using full time data series of irradiance and temperature for different geographical locations”, 26th European Photovoltaic Solar Energy Conference and Exhibition, p. 3248 – 3254, 2011