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Future projections of wind resource in a mountainous archipelago, Canary Islands

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  • González, Albano
  • Pérez, Juan C.
  • Díaz, Juan P.
  • Expósito, Francisco J.

Abstract

Large-scale atmospheric patterns and near-surface winds are expected to be modified in the future due to climate change, altering the availability of wind resources on a regional scale. These possible changes are especially important in isolated power systems, as is the case for a great percentage of the islands. High-resolution climate regionalization is therefore necessary to assess the future projections of wind resource, mainly in the case of orographically complex territories, such as The Canary Islands. In this work, WRF was used to perform a dynamic regionalization in this Archipelago, using the pseudo-global warming technique to compute the initial and boundary conditions from a reanalysis dataset and from the monthly mean changes obtained from the simulations of fourteen global climate models included in the Coupled Model Intercomparison Project Phase 5 (CMIP5). Projections of mean wind, wind energy density and extractable wind power were obtained for two future decades (2045–2054 and 2090–2099) and for two different greenhouse gas scenarios (RCP4.5 and RCP8.5) and the results were compared with those for 1995–2004. Statistically significant changes in wind resource were found in some areas, mainly during summer. Most of these areas correspond to zones where at present wind farms are located.

Suggested Citation

  • González, Albano & Pérez, Juan C. & Díaz, Juan P. & Expósito, Francisco J., 2017. "Future projections of wind resource in a mountainous archipelago, Canary Islands," Renewable Energy, Elsevier, vol. 104(C), pages 120-128.
  • Handle: RePEc:eee:renene:v:104:y:2017:i:c:p:120-128
    DOI: 10.1016/j.renene.2016.12.021
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    References listed on IDEAS

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    1. Calero, R. & Carta, J. A., 2004. "Action plan for wind energy development in the Canary Islands," Energy Policy, Elsevier, vol. 32(10), pages 1185-1197, July.
    2. Al-Yahyai, Sultan & Charabi, Yassine & Gastli, Adel, 2010. "Review of the use of Numerical Weather Prediction (NWP) Models for wind energy assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3192-3198, December.
    3. Barstad, Idar & Sorteberg, Asgeir & Mesquita, Michel dos-Santos, 2012. "Present and future offshore wind power potential in northern Europe based on downscaled global climate runs with adjusted SST and sea ice cover," Renewable Energy, Elsevier, vol. 44(C), pages 398-405.
    4. Detlef Vuuren & Jae Edmonds & Mikiko Kainuma & Keywan Riahi & Allison Thomson & Kathy Hibbard & George Hurtt & Tom Kram & Volker Krey & Jean-Francois Lamarque & Toshihiko Masui & Malte Meinshausen & N, 2011. "The representative concentration pathways: an overview," Climatic Change, Springer, vol. 109(1), pages 5-31, November.
    5. Sailor, David J. & Smith, Michael & Hart, Melissa, 2008. "Climate change implications for wind power resources in the Northwest United States," Renewable Energy, Elsevier, vol. 33(11), pages 2393-2406.
    6. Gonçalves-Ageitos, María & Barrera-Escoda, Antoni & Baldasano, Jose M. & Cunillera, Jordi, 2015. "Modelling wind resources in climate change scenarios in complex terrains," Renewable Energy, Elsevier, vol. 76(C), pages 670-678.
    7. Johnson, Dana L. & Erhardt, Robert J., 2016. "Projected impacts of climate change on wind energy density in the United States," Renewable Energy, Elsevier, vol. 85(C), pages 66-73.
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