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Spatial targeting, synergies and scale: Exploring the criteria of smart practices for siting renewable energy projects

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    0494414 - ÚGN 2019 RIV GB eng J - Journal Article
    Frantál, Bohumil - Van der Horst, Dan - Martinát, Stanislav - Schmitz, S. - Teschner, N. - Silva, L. - Golobic, M. - Roth, M.
    Spatial targeting, synergies and scale: Exploring the criteria of smart practices for siting renewable energy projects.
    Energy Policy. Roč. 120, September 2018 (2018), s. 85-93. ISSN 0301-4215. E-ISSN 1873-6777
    R&D Projects: GA ČR GA16-04483S
    Institutional support: RVO:68145535
    Keywords : renewable energy * smart practice * energy landscapes
    OECD category: Environmental sciences (social aspects to be 5.7)
    Impact factor: 4.880, year: 2018
    https://www.sciencedirect.com/science/article/pii/S0301421518303355

    Policies and strategies to develop renewable energy and the rates of successful deployment vary from country to country. Academic literature is rife with examples of recurring problems and malpractice in the implementation of renewable energy projects. We could see each national and sectoral effort as an 'experiment' in the early phase of our attempted transition to a low carbon energy system. What lessons can we learn from a comparative analysis of these experiments? This paper seeks to draw generic lessons not from what has gone wrong but from national case studies that stand out in a best way. Through a European academic network, we have selected and analysed 51 'smart practice' case studies of renewable energy development from 20 countries. We present the outcomes of both qualitative and quantitative analysis of these case studies (smart practice criteria) and discuss a set of generic findings concerning specific types of smart practices and problems of potential transferability of projects to other regions. With regards to policy relevance, the findings can be used for evaluating portfolios of renewable energy projects developed to date and for setting guiding principles for project design, spatial planning and consent by means of cross-national learning and fertilization.
    Permanent Link: http://hdl.handle.net/11104/0287614

     
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