THERMAL SCIENCE

International Scientific Journal

ESTIMATION OF PHOTOVOLTAIC POWER GENERATION POTENTIAL IN SERBIA BASED ON IRRADIANCE, AIR TEMPERATURE, AND WIND SPEED DATA

ABSTRACT
This study is devoted to the research of spatial-temporal variation of electricity generation from the kilowatt-peak photovoltaic system made of crystalline silicon solar cells. The research was conducted in the territory of Serbia using the model for estimation photovoltaic performances as a function of incident irradiance and module temperature. Preparation of input data and calculation of the final results was done within the geographical information system. Some of the required raster data, like solar irradiance and wind speed, were already available, while air temperature raster was created from discrete set of observed data using the regression-kriging model. Obtained results were presented in the form of raster maps that enabled further analysis and discussion about new findings. The analysis of seasonal variations reveals that during spring and summer months photovoltaic systems are producing up to 70% of total annual electricity yield. In terms of the spatial distribution, the most promising areas for electricity generation are located in the south part of Serbia and along main river valleys. In addition, discussion part addresses the issue of data imperfection caused by the accuracy of the selected model, as well as quality and availability of data series. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. III47007]
KEYWORDS
PAPER SUBMITTED: 2017-12-30
PAPER REVISED: 2018-05-27
PAPER ACCEPTED: 2018-05-29
PUBLISHED ONLINE: 2018-06-03
DOI REFERENCE: https://doi.org/10.2298/TSCI171230164D
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2018, VOLUME 22, ISSUE Issue 6, PAGES [2297 - 2307]
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© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence