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A regional-scale assessment of local renewable energy resources in Cumbria, UK

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  • Gormally, A.M.
  • Whyatt, J.D.
  • Timmis, R.J.
  • Pooley, C.G.

Abstract

There is increasing focus on the role small-scale decentralised renewable energy developments could play in helping the UK meet its target of over 15% renewable energy by the year 2020 and alter energy behaviours through active community engagement. Upland areas are considered key areas where such community-based developments could occur due to their natural resources and range of community scales. This study uses GIS-based techniques to develop a methodology that assesses the regional-scale potential for community-based renewable electricity across Cumbria and whether a combination of these developments at the community-scale could make a significant contribution to local electricity consumption. This methodology looks at a range of technologies including hydro-power, wind-power, solar PV and bioenergy. The results suggest there is ample resource available for small communities by combining a mix of localised renewable electricity developments, which is highlighted through energy scenarios for a selected community. Further work will investigate whether this potential can be realised in reality by looking at resource resilience and community-level acceptability.

Suggested Citation

  • Gormally, A.M. & Whyatt, J.D. & Timmis, R.J. & Pooley, C.G., 2012. "A regional-scale assessment of local renewable energy resources in Cumbria, UK," Energy Policy, Elsevier, vol. 50(C), pages 283-293.
    • Handle: RePEc:eee:enepol:v:50:y:2012:i:c:p:283-293
    DOI: 10.1016/j.enpol.2012.07.015
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    2. Hernández-Escobedo, Q. & Saldaña-Flores, R. & Rodríguez-García, E.R. & Manzano-Agugliaro, F., 2014. "Wind energy resource in Northern Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 890-914.
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    4. Michael Mans & Tobias Blacha & Thomas Schreiber & Dirk Müller, 2022. "Development and Application of an Open-Source Framework for Automated Thermal Network Generation and Simulations in Modelica," Energies, MDPI, vol. 15(12), pages 1-25, June.

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    Community; GIS; Uplands;
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