Statistical Analysis and Assessment of Wind Energy Potential in Sarajevo, Bosnia and Herzegovina
In this paper, wind energy potential in Sarajevo area, Bosnia and Herzegovina, was analyzed statistically. The analysis of wind energy potential was performed based on measured wind data in a one-year period from 1 January to 31 December 2019. Measured data were obtained on the basis of a meteorolog...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2021-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/380222 |
| _version_ | 1797206955475861504 |
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| author | Rejhana Blažević* Halima Hadžiahmetović Ismira Ahmović |
| author_facet | Rejhana Blažević* Halima Hadžiahmetović Ismira Ahmović |
| author_sort | Rejhana Blažević* |
| collection | DOAJ |
| description | In this paper, wind energy potential in Sarajevo area, Bosnia and Herzegovina, was analyzed statistically. The analysis of wind energy potential was performed based on measured wind data in a one-year period from 1 January to 31 December 2019. Measured data were obtained on the basis of a meteorological station installed on the roof of the building of the Faculty of Mechanical Engineering in Sarajevo at 30 m height. Measured wind characteristics were statistically analyzed using the Weibull and Rayleigh distribution functions. The Weibull parameters were obtained using two methods, the energy pattern factor method and the maximum likelihood method, and both methods were used to find the Weibull parameters and the wind power density. The results of this investigation showed that the analyzed place falls under Class 1 of the international system of wind classification as the mean annual wind velocity recorded in the analyzed area was 1.215 m/s and the corresponding annual mean power density was estimated to be 6.7 W/m2 at 30 m height. The results show that the available wind energy potential to generate electricity in Sarajevo is low and wind power cannot be used to meet the energy needs in that region. |
| first_indexed | 2024-04-24T09:15:14Z |
| format | Article |
| id | doaj.art-ccc9339a32384937887dce1075e30bd1 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:15:14Z |
| publishDate | 2021-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-ccc9339a32384937887dce1075e30bd12024-04-15T17:09:11ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392021-01-012851511151810.17559/TV-20200720163605Statistical Analysis and Assessment of Wind Energy Potential in Sarajevo, Bosnia and HerzegovinaRejhana Blažević*0Halima Hadžiahmetović1Ismira Ahmović2University of Sarajevo, Faculty of Mechanical Engineering Sarajevo, Vilsonovo šetalište 9, 71000 Sarajevo, Bosnia & HerzegovinaUniversity of Sarajevo, Faculty of Mechanical Engineering Sarajevo, Vilsonovo šetalište 9, 71000 Sarajevo, Bosnia & HerzegovinaFederal Hydrometeorological Institute of Bosnia & Herzegovina, Bardakčije 12, 71000 Sarajevo, Bosnia & HerzegovinaIn this paper, wind energy potential in Sarajevo area, Bosnia and Herzegovina, was analyzed statistically. The analysis of wind energy potential was performed based on measured wind data in a one-year period from 1 January to 31 December 2019. Measured data were obtained on the basis of a meteorological station installed on the roof of the building of the Faculty of Mechanical Engineering in Sarajevo at 30 m height. Measured wind characteristics were statistically analyzed using the Weibull and Rayleigh distribution functions. The Weibull parameters were obtained using two methods, the energy pattern factor method and the maximum likelihood method, and both methods were used to find the Weibull parameters and the wind power density. The results of this investigation showed that the analyzed place falls under Class 1 of the international system of wind classification as the mean annual wind velocity recorded in the analyzed area was 1.215 m/s and the corresponding annual mean power density was estimated to be 6.7 W/m2 at 30 m height. The results show that the available wind energy potential to generate electricity in Sarajevo is low and wind power cannot be used to meet the energy needs in that region.https://hrcak.srce.hr/file/380222Weibull and Rayleigh distributionwind potentialwind power densitywind velocity |
| spellingShingle | Rejhana Blažević* Halima Hadžiahmetović Ismira Ahmović Statistical Analysis and Assessment of Wind Energy Potential in Sarajevo, Bosnia and Herzegovina Tehnički Vjesnik Weibull and Rayleigh distribution wind potential wind power density wind velocity |
| title | Statistical Analysis and Assessment of Wind Energy Potential in Sarajevo, Bosnia and Herzegovina |
| title_full | Statistical Analysis and Assessment of Wind Energy Potential in Sarajevo, Bosnia and Herzegovina |
| title_fullStr | Statistical Analysis and Assessment of Wind Energy Potential in Sarajevo, Bosnia and Herzegovina |
| title_full_unstemmed | Statistical Analysis and Assessment of Wind Energy Potential in Sarajevo, Bosnia and Herzegovina |
| title_short | Statistical Analysis and Assessment of Wind Energy Potential in Sarajevo, Bosnia and Herzegovina |
| title_sort | statistical analysis and assessment of wind energy potential in sarajevo bosnia and herzegovina |
| topic | Weibull and Rayleigh distribution wind potential wind power density wind velocity |
| url | https://hrcak.srce.hr/file/380222 |
| work_keys_str_mv | AT rejhanablazevic statisticalanalysisandassessmentofwindenergypotentialinsarajevobosniaandherzegovina AT halimahadziahmetovic statisticalanalysisandassessmentofwindenergypotentialinsarajevobosniaandherzegovina AT ismiraahmovic statisticalanalysisandassessmentofwindenergypotentialinsarajevobosniaandherzegovina |