Estimation of the wave energy conversion efficiency in the Atlantic Ocean close to the European islands

被引：110

作者：

Rusu, Eugen ^{[1
]}

Onea, Florin ^{[1
]}

机构：

[1] Dunarea de Jos Univ Galati, Dept Mech Engn, Galati, Romania

来源：

RENEWABLE ENERGY | 2016年 / 85卷

关键词：

Atlantic Ocean; European islands; Hindcast data; Wave energy; Conversion efficiency; ERA-INTERIM; WIND ENERGY; REANALYSIS; IMPACT; ASSESSMENTS; PERFORMANCE; ATLAS;

D O I：

10.1016/j.renene.2015.07.042

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper presents an evaluation of the efficiency of twelve state of the art wave energy converters in the Atlantic Ocean, in the vicinity of the most important European islands and archipelagos (Iceland, Archipelago of Azores, Madeira Archipelago and Canary Islands). An analysis of the wave conditions in the target areas was first performed by considering a 10-year interval (2004-2013) of wave data provided by the European Centre for Medium-Range Weather Forecasts. For this reason, twenty reference points, all located in water depths of about 50 m, were defined. In order to provide a general picture of the wave potential and also to highlight the presence of some hot spots, several wave parameters, such as significant wave height, mean wave direction and wave power, were evaluated. Then, for every nearshore area, based on the bivariate distributions of the sea states occurrences and also on the power matrix of each device, the performances of each wave energy converter were estimated in terms of the expected electrical power. The results of the present work provide valuable information for the future wave farm projects, which could become in the near future a reliable and effective way to produce energy in island environments. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：687 / 703

页数：17

共 43 条

[21] Wave farm impact: The role of farm-to-coast distance [J].

Iglesias, G. ;

Carballo, R. .

RENEWABLE ENERGY, 2014, 69 :375-385

[22]

Janssen P., 2004, INTERACTION OCEAN WA

[23] Progress in ocean wave forecasting [J].

Janssen, Peter A. E. M. .

JOURNAL OF COMPUTATIONAL PHYSICS, 2008, 227 (07) :3572-3594

[24] Electricity supply on the island of Dia based on renewable energy sources (RES) [J].

Katsaprakakis, Dimitris Al. ;

Papadakis, Nikos ;

Kozirakis, George ;

Minadakis, Yiannis ;

Christakis, Dimitris ;

Kondaxakis, Konstantinos .

APPLIED ENERGY, 2009, 86 (04) :516-527

[25]

Komen G.J., 1994, DYNAMICS MODELLING O, DOI DOI 10.1017/CBO9780511628955

[26] Uncertainty in wave energy resource assessment. Part 2: Variability and predictability [J].

Mackay, Edward B. L. ;

Bahaj, AbuBala S. ;

Challenor, Peter G. .

RENEWABLE ENERGY, 2010, 35 (08) :1809-1819

[27] Uncertainty in wave energy resource assessment. Part 1: Historic data [J].

Mackay, Edward B. L. ;

Bahaj, AbuBakr S. ;

Challenor, Peter G. .

RENEWABLE ENERGY, 2010, 35 (08) :1792-1808

[28] Comparison of ERA-40, ERA-Interim and NCEP/NCAR reanalysis data with observed surface air temperatures over Ireland [J].

Mooney, P. A. ;

Mulligan, F. J. ;

Fealy, R. .

INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2011, 31 (04) :545-557

[29] Evaluation of the wave power potential in the northwestern side of the Iberian nearshore [J].

Morales Vaquero, A. ;

Castro Ruiz, F. ;

Rusu, E. .

DEVELOPMENTS IN MARITIME TRANSPORTATION AND EXPLOITATION OF SEA RESOURCES, VOL 2, 2014, :1011-1019

[30] Wind energy assessments along the Black Sea basin [J].

Onea, Florin ;

Rusu, Eugen .

METEOROLOGICAL APPLICATIONS, 2014, 21 (02) :316-329

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