SIMULATION OF PV SYSTEMS ELECTRICITY GENERATION USING HOMER SOFTWARE IN SPECIFIC LOCATIONS IN SERBIA

Abstract

In this paper basic information of Homer software for PV system electricity generation, NASA - Surface meteorology and solar energy database, RETScreen, PVGIS and HMIRS (Hydrometeorological Institute of Republic of Serbia) solar databases are given. The comparison of the monthly average values for daily solar radiation per square meter received by the horizontal surface taken from NASA, RETScreen, PVGIS and HMIRS solar databases for three locations in Serbia (Belgrade, Negotin and Zlatibor) is given. It was found that the annual average values of daily solar radiation taken from RETScreen solar database are the closest to the annual average values of daily solar radiation taken from HMIRS solar database for Belgrade, Negotin and Zlatibor. Monthly and total for year values of electricity production of fixed on-grid PV system of 1 kW with optimal inclinated and south oriented solar modules, in Belgrade, Negotin and Zlatibor using HOMER software simulation based on data for daily solar radiation taken from NASA, RETScreen, PVGIS and HMIRS databases are calculated. The relative deviation of electricity production of fixed on-grid PV system of 1 kW using HOMER software simulation based on data for daily solar radiation taken from NASA, RETScreen, and PVGIS databases compared to electricity production of fixed on-grid PV system of 1 kW using HOMER software simulation based on data for daily solar radiation taken from HMIRS databases in Belgrade, Negotin and Zlatibor are given.

Dates

  • Submission Date2012-07-27
  • Revision Date2012-10-10
  • Acceptance Date2012-12-12
  • Online Date2013-01-20

DOI Reference

10.2298/TSCI120727004P

References

  1. Klise G. T. and Stein J. S., Models Used to Assess the Performance of Photovoltaic Systems, SANDIA REPORT, SAND2009-8258, 2009. Available online at: www.osti.gov/bridge/ .
  2. Lalwani M., Kothari D.P., Singh M., Investigation of Solar Photovoltaic Simulation Softwares, International Journal Of Applied Engineering Research, DINDIGUL, 1 (2010), 3, pp. 585-601.
  3. www.appropedia.org/Solar_photovoltaic_software.
  4. www.dconnolly.net/research/planning/tools/index.html.
  5. www.homerenergy.com/.
  6. www.pspb.org/e21/media/HOMERModelingInformation.pdf
  7. Lopez N., Espiritu J. F., An approach to hybrid power systems integration considering different renewable energy technologies, Procedia Computer Science, 6 (2011), pp. 463-468.
  8. Markovic D. et al., Survey of software tools for energy efficiency in a Community, Renewable and Sustainable Energy Reviews, 15 (2011), pp. 4897-4909.
  9. Pavlović T. et al., Comparison and assessment of electricity generation capacity for different types of PV solar plants of 1MW In Soko Banja, Serbia, Thermal Science, 15 (2011) 3, pp.605-618.
  10. Pavlović T. et al., Analyses of PV systems of 1kW electricity generation in Bosnia and Herzegovina, Contemporary Materials (Renewable energy sources), II-2, 2011, pp. 123-138.
  11. Mondal Md. A. H., Denich M., Assessment of renewable energy resources potential for electricity generation in Bangladesh, Renewable and Sustainable Energy Reviews, 14 (2010), pp. 2401-2413.
  12. Shaahid S. M., El-Amin I., Techno-economic evaluation of off-grid hybrid photovoltaic-diesel-battery power systems for rural electrification in Saudi Arabia—A way forward for sustainable development, Renewable and Sustainable Energy Reviews, 13 (2009), pp. 625-633.
  13. Pavlović T. et al., Assessments and perspectives of PV solar power engineering in the Republic of Srpska (Bosnia and Herzegovina), Renewable and Sustainable energy Review, 18 (2013), pp.119-133, doi:10.1016/j.rser.2012.10.007.
  14. Duffie J. A., Beckman W. A., Solar Engineering of Thermal Processes 2nd ed.,Wiley, New York, 1991.
  15. Shiroudi A., Taklimi S. R. H., Demonstration project of the solar hydrogen energy system located on Taleghan-Iran: Technical-economic assessments, Conference proceedings World Renewable Energy Congress, 4 (2011), 57, pp. 1158-1165.
  16. Šúri M., Solar resource data and tools for an assessment of photovoltaic systems, Chapter 7, Status Report 2006, EUR 22752 EN, 2007, pp. 96-102.
  17. Graham V.A., Hollands K.G.T., A method to generate synthetic hourly solar radiation globally, Solar Energy , 44 (1990), 6, 333-341.
  18. eosweb.larc.nasa.gov/sse/
  19. Pagola I. et al., New methodology of solar radiation evaluation using free access databases in specific locations, Renewable Energy, 35 (2010), 2792-2798.
  20. Ramachandra T. V., Jain R., Krishnadas G., Hotspots of solar potential in India, Renewable and Sustainable Energy Reviews, 15 (2011), pp. 3178- 3186.
  21. www.retscreen.net/
  22. re.jrc.ec.europa.eu/pvgis/apps3/pvest.php
  23. Pavlović T. et al., A review of concentrating solar power plants in the world and their potential use in Serbia, Renewable and Sustainable energy Review, 16 (2012) 6, pp. 3891-3902.
  24. Angelis-Dimakis A. at al., Methods and tools to evaluate the availability of renewable energy sources, Renewable and Sustainable Energy Reviews, 15 (2011), pp. 1182-1200.
  25. Súri M., Hofierka J., A New GIS-based solar radiation model and its application for photovoltaic assessments. Transactions in GIS 2004;8(2):175-90.
  26. Šúri M. et al., PV-GIS: A Web-based Solar Radiation Database for the Calculation of PV Potential in Europe, International Journal of Sustainable Energy, 24 (2005), 2, pp. 55-67.
  27. Dike V.N. et al., Optimal angles for harvesting solar electricity in some African cities, Renewable Energy, 39 (2012), pp. 433-439.
  28. Hofierka J., Kanuk J., Assessment of photovoltaic potential in urban areas using open-source solar radiation tools, Renewable Energy, 34 (2009), pp. 2206-2214.
  29. grass.fbk.eu/gdp/html_grass64/r.sun.html
  30. re.jrc.ec.europa.eu/pvgis/solres/solrespvgis.htm
  31. grass.fbk.eu/gdp/html_grass64/v.surf.rst.html
  32. re.jrc.ec.europa.eu/pvgis/solres/solmod3.htm
  33. Carrion J. A. et al., The electricity production capacity of photovoltaic power plants and the selection of solar energy sites in Andalusia (Spain), Renewable Energy, 33 (2008), pp. 545-552.
  34. Chineke T. C., Equations for estimating global solar radiation in data sparse regions, Renewable Energy, 33 (2008), pp. 827-831.
  35. Gburcik V., Final report of the technological development Project TD-7042B "Atlas of solar and wind energy potential in Serbia", Institute of Multidisciplinary Research of the University of Belgrade, Belgrade; 2008.
  36. Pešović U., Milanković I., Jagodić D., Ranđić S., Model of global solar radiation on horizontal surface, Proceedings of XI International scientific symposium INFOTEH 2012, Jahorina, Bosnia and Herzegovina, 2012, Vol. 11, pp. 204-207, ISBN 978-99938-624-8-2 (in Serbian).
  37. Stevanovic S., Pucar M., Investment appraisal of a small, grid-connected photovoltaic plant under the Serbian feed-in tariff framework, Renewable and Sustainable Energy Reviews, 16 (2012), pp. 1673- 1682.
  38. Panayiotou G.,Kalogirou S., Tassou S., Design and simulation of a PV and PV-Wind standalone energy system to power a household application, Renewable Energy, 37 (2012), pp. 355-363.
Volume 17, Issue 2, Pages333 -347