Wave energy pattern around the Madeira Islands
Eugen Rusu and
C. Guedes Soares
Energy, 2012, vol. 45, issue 1, 771-785
Abstract:
The objective of the present work is to evaluate the patterns of wave power resources around the Madeira Islands. An analysis of the wave climate in the target area is first carried out based on satellite, buoy and hindcast wave data. As a further step, a SWAN based wave prediction system is validated against remotely sensed data over the entire area of the archipelago and this is subsequently used to evaluate the most relevant patterns from the point of view of the spatial distribution of the wave power. The model simulations, which are focused on the two main islands of the archipelago, made also apparent some nearshore locations where significant concentrations of wave energy usually occur. Corresponding to these energy hot spots, diagrams for the bivariate distributions of the sea states occurrences, defined by the significant wave height and the energy period, are designed and the performances of various types of wave energy converters were assessed. According to these evaluations, the efficiency of the wave energy conversion appears to be highly dependent on the distribution of the wave energy along the sea states. The results of the present work show that Madeira Archipelago, and especially the coastal environment of the Porto Santo Island, may be considered appropriate for an efficient extraction of wave energy.
Keywords: Madeira Archipelago; Wave energy; Numerical models; Coastal environment (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (61)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544212005439
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:45:y:2012:i:1:p:771-785
DOI: 10.1016/j.energy.2012.07.013
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().