Techno-economic analysis of onshore wind energy in the ÖMS region
Lindvall, E. (2025). Techno-economic analysis of onshore wind energy in the ÖMS region. MSc Thesis. KTH, Department of Energy Technology: Stockholm. 86 pp.
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| Beschikbaar in | Auteur |
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Documenttype: Doctoraat/Thesis/Eindwerk
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| Author keywords |
Techno-economic analysis, wind energy, QGIS, Python, geospatial analysis, renewable energy, capacity factor, levelised cost of electricity, annual energy yield |
| Abstract |
Globally, measures are taken to adapt to and mitigate the climate crisis. CO2 emissions are continuously high and one measure to reduce emissions is through electrification. In Sweden, the road to electrification is currently focused on nuclear power as the main source and other energy sources are not as relevant. The aim of the thesis is to use the output of a previously performed multi-criteria analysis to conduct a geospatial analysis as input into a techno-economic assessment of wind energy in the ÖMS region. The geospatial analysis is performed in QGIS and the output used as input into Python where the techno-economic analysis is conducted. The two technical KPIs in the report are capacity factor (CF) and annual energy yield (AEY), while the economic KPI is levelised cost of electricity (LCOE). The results show the best turbine height is 140 m, both considering AEY and the LCOE. The aggregated values for AEY do not match the LCOE values, since the best performing turbine regarding yearly output, Siemens SG 6.6-170, does not match the turbine with the lowest LCOE, Vestas V150. The best performing regions when analysing the aggregated results of the AEY are Gävleborg and Östergötland, while the best performing regions for the LCOE are Södermanland and Västmanland. When looking closer at specific sites, the best performing turbine measuring the AEY is the Siemens SG 6.6-170, and the lowest LCOE is by the Vestas V150. Analysing the site-specific results, it can be observed Södermanland and Östergötland are strong regions with several sites in the top ranking in regard to the AEY. The highest CF can be found in the Vestas V150 at sites in Södermanland and Östergötland. The lowest LCOEs are generated by Vestas V150 where several sites in Södermanland and Östergötland are at the top of the ranking. The Vestas V117 is not recommended as preferred turbine at any site. The average distance to the grid is shorter than to the substations, 1.9 km and 23.2 km respectively. The average distance to a road is 1.1 km. |
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