4.7 Article

Integration of assessment-methods for wave renewable energy: Resource and installation feasibility

Journal

RENEWABLE ENERGY
Volume 185, Issue -, Pages 455-482

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2021.12.035

Keywords

Wave energy; Canary islands; Wave metrics and indices; Wave resource; Operation & maintenance; Geographical information system (GIS)

Funding

  1. ERDF [MAC2/1.1a/309]
  2. Griffith University
  3. Institute of Oceanography of the University of Sao Paulo
  4. CAPES (Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior)/PROEX (Programa de Excelencia Academica) [88887.614992/2021e0]

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This study presents a new integrated model to assess coastal locations and wave resource potential for renewable installations, focusing on wave resource metrics and geographical analyses, with a case study in the Canary archipelago.
As wave renewables can be a cornerstone in the energy mix framework necessary for a green energy transition, a new integrated model is introduced to assess coastal locations and wave resource potential for renewable installations based on: (A) wave resource metrics and indices, and (B) geographical analyses. The Canary archipelago (Spain) is a relevant case study due to its different islands' interactions and its human-related/environmental (including fauna/flora) restrictions. With respect to (A), 63 approaches (for 40 parameters) were investigated regarding their relevancy, complementarity and representativeness, to reduce them to a critical 9 final key performance indicators for the wave resource (power, direction, harshness and availability, amongst others). These were then strategically integrated to conduct the actual wave resource analysis. The restrictions assessed in (B) resulted in the distinction of most and least restrictive scenarios. The areas available for renewable installation according to (B) were then merged with the resource assessment performed in (A). Results highlight the archipelago's appeal for renewable installation, with the islands displaying a complex high-potential coverage partially located in the most restrictive scenario. (C) 2021 The Authors. Published by Elsevier Ltd.

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