The global market of solar energy systems is currently experiencing a rapid growth, driven bythe increasing demand for renewable energy. To monitor the rapid expansion of solar energy, aerial imagery combined with deep machine learning can be utilized. This study aims to assess the market penetration and remaining potential for roof-mounted decentralized solar energy across various market segments using these advanced technologies. Furthermore, the purpose is to assess the impact of socio-economic factors on the adoption of solar energy systems. The findings reveal that the photovoltaic system penetration rates are generally consistent across all the studied distributed market segments in Sweden, with a slightly higher rate for public buildings. The penetration of solar thermal systems is lower in comparison and are most common among single-family dwellings. Significant potential remains for rooftop solar installations, with 64.1% of roof area available and suitable for solar energy. Regarding the number of buildings, 76.9% of all buildings either lack or can enlarge an already existing solar energy system. The remaining potential across the market segments varies slightly due to different proportions of areas that are unsuitable for solar energy. The penetration rates are highest in central city areas, but with just slightly lower rates in urban and rural areas. Socio-economic factors such as educational level, employment rate, median income, and the proportion of people aged 65+ are shown to influence solar energy adoption.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-531240 |
Date | January 2024 |
Creators | Ekstrand, Erik, Hermodsson, Fredrik |
Publisher | Uppsala universitet, Byggteknik och byggd miljö |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
Relation | UPTEC STS, 1650-8319 ; 24019 |
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