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Energy models from a strategic environmental assessment perspective in an EU context-What is missing concerning renewables?

Journal

RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 33, Issue -, Pages 353-362

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2014.02.005

Keywords

Energy models; Strategic environmental assessment; Landscape; Land use; Biodiversity; Policy assessment

Funding

  1. Swedish strategic research programme Stand Up for Energy

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Climate change and security of energy supply are main sustainability issues today and an energy systems shift towards renewable energy sources is therefore urgent. However, unless environmental impacts of such a shift are carefully taken into account, imposed resource and land use changes may counteract other sustainability goals, such as preserving biodiversity and ecosystem services. Strategic Environmental Assessment (SEA) provides a comprehensive framework for assessment of policies and plans where a full range of environmental issues are addressed. The aim of this article was to find possibilities for comprehensive sustainability assessment among published energy-environment models and the linking of renewable energy analysis to landscape and biodiversity issues through land use concerns. Based on the review of relevant energy, environmental and linking models, a survey on publications and a case study on the EU Energy Roadmap 2050, the results show that existing energy models and research have low concerns on land use, landscapes and biodiversity. Consequently, it would be difficult to provide comprehensive decision support by using only these tools. However, suitable energy models, ecological assessment models and multi-criteria approaches exist with great potential for inter-linking. The development of energy models could thus have new orientations, connecting them to involve renewable energy options with land use, landscape and biodiversity concerns, which could be advanced into powerful SEA tools for integrated policy assessment. This will enable the development of more comprehensive decision support tools for assessing future energy scenarios, integrating main policy concerns when assessing renewable energy options. (C) 2014 Elsevier Ltd. All rights reserved.

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