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Citizens of the city of Sarajevo and of other industrial cities are faced with a record number of days of increased pollution. In the winter months, the city of Sarajevo faces a large number of days of pollution caused mainly by the use of fossil fuels in individual houses for heating purposes. The current situation can be changed by the massive use of energy from renewable sources such as solar energy. This paper aims to evaluate the potential of solar energy in the city of Sarajevo. The use of Geographic Information Systems (GIS) represents the most significant technological and conceptual approach to spatial data analysis. Using existing models for calculating incoming solar radiation integrated in the GRASS GIS and SAGA GIS software, we achieved the goal and calculated the results for solar energy potential in the city of Sarajevo and presented them for the specific settlements. The model was implemented on the basis of created Digital Elevation Model (DEM) from Google Earth - free datasets, using techniques to collect and convert data with different software. Comparative results of selected model research are evaluated using the collected solar irradiance values from the meteorological stations, other research results, and the solar energy potential estimated via the Photovoltaic GIS Information System (PVGIS).
Rocznik
Tom
Strony
285--290
Opis fizyczny
Bibliogr. 19 poz., il., tab.
Twórcy
autor
- Faculty of Electrical Engineering, University of Sarajevo 71000 Sarajevo, Bosnia and Herzegovina
autor
- Faculty of Electrical Engineering, University of Sarajevo 71000 Sarajevo, Bosnia and Herzegovina
Bibliografia
- 1. “Trends and drivers of EU greenhouse gas emissions,” European Environment Agency, Copenhagen, Danmark, 2020. Accessed: Feb. 28, 2023. [Online]. Available: http://dx.doi.org/10.2800/19800
- 2. A. Karabegovic and M. Ponjavic, “Geoportal as Decision Support System with Spatial Data Warehouse,” in Proceedings of the Federated Conference on Computer Science and Information Systems, Wroclaw, Poland, 2012, no. 978–8360810–514, pp. 915–918. Accessed: Jan. 03, 2023. [Online]. Available: https://ieeexplore.ieee.org/document/6354304
- 3. QGIS, “Welcome to the QGIS project!,” Qgis.org, 2017. https://www.qgis.org/en/site/ (accessed Mar. 14, 2023).
- 4. GRASS Development Team, “Geographic Resources Analysis Support System (GRASS GIS) Software, Version 8.2,” https://grass.osgeo.org. https://grass.osgeo.org (accessed Mar. 14, 2023).
- 5. O. Conrad et al., “System for Automated Geoscientific Analyses (SAGA) v. 2.1.4,” Geoscientific Model Development, vol. 8, no. 7, pp. 1991–2007, Jul. 2015, http://dx.doi.org/https://doi.org/10.5194/gmd-8-1991-2015.
- 6. European Commission, “Photovoltaic Geographical Information System (PVGIS) - European Commission,” re.jrc.ec.europa.eu. https://re.jrc.ec.europa.eu/pvg_tools/en/ (accessed Feb. 15, 2023).
- 7. E. Caiaffa, A. Marucci, and M. Pollino, “Study of Sustainability of Renewable Energy Sources through GIS Analysis Techniques,” Computational Science and Its Applications – ICCSA 2012, pp. 532–547, 2012, http://dx.doi.org/https://doi.org/10.1007/978-3-642-31075-1_40.
- 8. J. Hofierka and M. Šury, “The solar radiation model for Open source GIS: implementation and applications,” presented at the GRASS users conference 2002, Trento, Italy, Sep. 2002. Accessed: Mar. 15, 2023. [Online]. Available: https://www.researchgate.net/publication/2539232_The_solar_radiation_model_for_Open_source_GIS_Implementation_and_applications
- 9. M. Neteler, H. Mitasova, and Springerlink (Online Service, Open Source GIS: A GRASS GIS Approach. New York, Ny: Springer Us, 2004.
- 10. J. Hofierka and J. Kaňuk, “Assessment of photovoltaic potential in urban areas using open-source solar radiation tools,” Renewable Energy, vol. 34, no. 10, pp. 2206–2214, Oct. 2009, http://dx.doi.org/https://doi.org/10.1016/j.renene.2009.02.021.
- 11. WEYRER, T. N., “GIS Based Analysis of the Potential of Solar Energy of Roof Surfaces in Baton Rouge, Louisiana,” Unpublished Bachelor of Science Thesis, Carinthia University of Applied Sciences, Austria., 2011. Available: https://www.marshallplan.at/images/All-Papers/MP-2011/Weyrer.pdf
- 12. M. Gorički, V. Poslončec-Petrić, S. Frangeš, and Ž. Bačić, “Analysis of solar potential of roofs based on digital terrain model,” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLII-4/W3, pp. 37–41, Sep. 2017, http://dx.doi.org/https://doi.org/10.5194/isprs-archives-xlii-4-w3-37-2017.
- 13. I. Gakić, “Analysis of the possibility of using the space for the construction of solar power plants,” Master’s thesis, Faculty of Electrical Engineering – University Sarajevo, 2015.
- 14. A. Bijedić, S. Hodžić, B. Krajinović, Dz. Zulum, N. Voljevica, and A. Tucaković, “Meteorological Annual Reports,” Federal Hydrometeorological Institute, Sarajevo, 2022. Accessed: Mar. 15, 2023. [Online]. Available: http://www.fhmzbih.gov.ba/latinica/KLIMA/godisnjaci.php
- 15. L. Majdandži´c, Solarni sustavi, Graphis d.o.o., Zagreb, 2010
- 16. A. Šiljeg, “Digital relief model in the analysis of geomorphometric parameters,” Doctoral Disseratation, Faculty of Science, University of Zagreb, 2013.
- 17. R. Mueller, T. Behrendt, A. Hammer, and A. Kemper, “A New Algorithm for the Satellite-Based Retrieval of Solar Surface Irradiance in Spectral Bands,” Remote Sensing, vol. 4, no. 3, pp. 622–647, Mar. 2012, http://dx.doi.org/https://doi.org/10.3390/rs4030622.
- 18. K. Scharmer and J. Greif, The European Solar Radiation Atlas. Paris, France: Vol.2., 2000.
- 19. CETEOR B&H, Cedes BA, and Ekonerg Cro, Eds., “Optimal energy supply study of Sarajevo Canton,” 2010.
Uwagi
1. Main Track Short Papers
2. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-28f6390a-d323-42a6-a585-6614cd274e86