Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/114207
Title: | Integration of assessment-methods for wave renewable energy: Resource and installation feasibility | Authors: | Choupin, Ophelie Del Río Gamero, Beatriz Schallenberg Rodríguez, Julieta Cristina Yánez Rosales, Pablo |
UNESCO Clasification: | 3308 Ingeniería y tecnología del medio ambiente 332205 Fuentes no convencionales de energía |
Keywords: | Canary islands Wave energy Geographical information system (GIS) Operation & maintenance Wave metrics and indices, et al |
Issue Date: | 2022 | Project: | Investigación e innovación hacia la Excelencia en Eficiencia tecnológica, uso de Energías renovables, tecnologías Emergentes y Economía circular en la DESalación | Journal: | Renewable Energy | Abstract: | 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. | URI: | http://hdl.handle.net/10553/114207 | ISSN: | 0960-1481 | DOI: | 10.1016/j.renene.2021.12.035 | Source: | Renewable Energy [ISSN 0960-1481], v. 185, p. 455-482 |
Appears in Collections: | Artículos |
SCOPUSTM
Citations
13
checked on Nov 24, 2024
WEB OF SCIENCETM
Citations
9
checked on Nov 24, 2024
Page view(s)
105
checked on Jun 15, 2024
Download(s)
110
checked on Jun 15, 2024
Google ScholarTM
Check
Altmetric
Share
Export metadata
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.