A tool for combined WEC-site selection throughout a coastal region: Rias Baixas, NW Spain

被引:21
作者
Carballo, R. [1 ]
Sanchez, M. [1 ]
Ramos, V. [1 ]
Castro, A. [1 ]
机构
[1] Univ Santiago de Compostela, Lugo 27002, Spain
关键词
Energy production; Energy bin; WEC; Wave propagation; WAVE ENERGY RESOURCE; FARM IMPACT; BLACK-SEA; TECHNOLOGIES; BREAKWATER; GENERATORS; ISLANDS;
D O I
10.1016/j.apenergy.2014.08.068
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The selection of the appropriate wave energy converter (WEC) and site is the basis for the installation of a wave farm in a region. For this purpose, the estimation of the energy that any WEC would produce at any location of interest is fundamental. Despite all its importance, this information or the elements required for obtaining it are currently available only at specific coastal locations or areas of interest. This work develops a tool for computing the energy that any WEC would generate at any coastal location within the Rias Baixas Region (NW Spain). With this aim, a methodology which allows the consideration of almost all the total energy available is used to characterize the coastal resource with a high spatial resolution. Then, a matlab-based application called WEDGE (Wave Energy Diagram GEnerator) is implemented for easy access to the stored data and automatic reconstruction of the resource at any coastal site in terms of a high-resolution characterization matrix (or energy diagram). As a result, the information required for accurate energy production computation throughout the region is available whereby a combined WEC-site selection can be conducted. Finally, the tool is used to compute the energy production of a total of 23 WEC-site combinations in an area within this region where a wave farm has been recently proposed. The results will underline the importance of a combined WEC-site selection for proper decision-making regarding wave energy exploitation. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:11 / 19
页数:9
相关论文
共 35 条
  • [1] Assessment of wave energy resource of the Black Sea based on 15-year numerical hindcast data
    Akpinar, Adem
    Komurcu, Murat Ihsan
    [J]. APPLIED ENERGY, 2013, 101 : 502 - 512
  • [2] Wave energy potential along the south-east coasts of the Black Sea
    Akpinar, Adem
    Komurcu, Murat Ihsan
    [J]. ENERGY, 2012, 42 (01) : 289 - 302
  • [3] Numerical benchmarking study of a selection of wave energy converters
    Babarit, A.
    Hals, J.
    Muliawan, M. J.
    Kurniawan, A.
    Moan, T.
    Krokstad, J.
    [J]. RENEWABLE ENERGY, 2012, 41 : 44 - 63
  • [4] Wave farm impact based on realistic wave-WEC interaction
    Carballo, R.
    Iglesias, G.
    [J]. ENERGY, 2013, 51 : 216 - 229
  • [5] A methodology to determine the power performance of wave energy converters at a particular coastal location
    Carballo, R.
    Iglesias, G.
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2012, 61 : 8 - 18
  • [6] Carbon Trust, 2005, OSC WAT COL WAV EN C
  • [7] Consistent ocean wave energy harvesting using electroactive polymer (dielectric elastomer) artificial muscle generators
    Chiba, S.
    Waki, M.
    Wada, T.
    Hirakawa, Y.
    Masuda, K.
    Ikoma, T.
    [J]. APPLIED ENERGY, 2013, 104 : 497 - 502
  • [8] Dean RG., 1991, Water Wave Mechanics for Engineers and Scientists, V2
  • [9] New approaches in harnessing wave energy: With special attention to small islands
    Fadaeenejad, M.
    Shamsipour, R.
    Rokni, S. D.
    Gomes, C.
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 29 : 345 - 354
  • [10] Wave energy utilization: A review of the technologies
    Falcao, Antonio F. de O.
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2010, 14 (03) : 899 - 918