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Publication Detailed Description
SWOT Analysis and Policy Recommendations for Solar Power in the EU Renewable Energy Transition
Book Title
Shaping the Future of Data, Knowledge and Innovation with AI for Global Sustainable Change
Year (definitive publication)
2026
Language
English
Country
Switzerland
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Abstract
The decarbonization of economic sectors remains one of the most pressing challenges for contemporary society. Solar photovoltaic (PV) system, as a scalable and increasingly cost-effective sustainable energy source, plays a pivotal role in advancing the EU-27’s low-carbon transition. Alongside emerging technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Digital Twins (DT), new business models like Energy-as-a-Service (EaaS) are reshaping the energy landscape. This study identifies and analyzes the key strengths, weaknesses, opportunities, and threats (SWOT) influencing solar PV deployment in the EU-27. A systematic literature review (SLR) assesses policy from socio-technological, socio-environmental, and socio-economic perspectives. The findings reveal that regulatory rigidity, fragmented frameworks, limited grid capacity, and underuse of enabling technologies remain significant barriers. In contrast, opportunities lie in adaptive policies, community ownership models, and innovative financial instruments that can foster wider adoption. Socio-environmental challenges, including public misperceptions and land-use conflicts, underline the importance of inclusive and participatory policy design. Overall, this study provides insights to support effective, just, and sustainable energy policies that can advance the EU-27’s green energy transition.
Acknowledgements
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Keywords
Solar Photovoltaic (PV),SWOT Analysis,Energy Transition,EU-27,Renewable Energy Policy.
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