Year 2018, Volume 64, Issue 1

Year : 2018
Volume : 64
Issue : 1
   
Authors : Bojan ĐURIN, Anita PTIČEK SIROČIĆ, Nikola SAKAČ
Title : MODELLING OF METEOROLOGICAL PARAMETERS FOR THE PURPOSE OF SIZING OF THE SOLAR PHOTOVOLTAIC IRRIGATION SYSTEMS
Abstract : Solar photovoltaic (PV) irrigation systems are usually sized by using measured or modelled meteorological data, such as solar radiation, air temperature and precipitation during a year or a certain period. Experiences during sizing, as well as in the use of such systems, have shown certain discrepancies during the year, despite the available data such as annual cloud coverage, number of sunny days, etc. In such cases, the usual statistical parameters as well as trend analysis are not reliable tools for predicting deviations of the PV irrigation system operation. The justification of using the Rescaled Adjusted Partial Sums (RAPS) method has been researched in his paper, in order to determine the existence of such deviations in the given time series (i.e. their deviations or fluctuations) of the solar radiation intensity, air temperature and precipitation. In this way the existence of certain irregularities of the given time series, i.e. input quantities of solar radiation intensity, air temperature and precipitation amounts were determined. This defined the period of the year in which special attention had to be paid to the operational functioning of the PV irrigation systems. The presented methodology was shown on real examples on several locations in the Republic of Croatia where PV irrigation systems are planned to be built. This methodology will certainly contribute to the achieving of systematic sustainability of the PV irrigation systems.
For citation : Đurin, B., Piček Siročić, A., Sakač, N. (2018): Modelling of meteorological parameters for the purpose of sizing of the solar photovoltaic irrigation systems. Agriculture and Forestry, 64 (1): 15-21. DOI:10.17707/AgricultForest.64.1.02
Keywords : Meteorological parameters, RAPS method, Solar photovoltaic energy, Irrigation system, Time series
   
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ISSN 0554-5579 (Printed)
ISSN 1800-9492 (Online)
DOI : 10.17707/AgricultForest

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