A decision support system for assessing offshore wind energy potential in the North Sea

被引:48
|
作者
Schillings, Christoph [1 ]
Wanderer, Thomas [1 ]
Cameron, Lachlan [2 ]
van der Wal, Jan Tjalling [3 ]
Jacquemin, Jerome [4 ]
Veum, Karina [2 ]
机构
[1] German Aerosp Ctr DLR, Stuttgart, Germany
[2] Energy Res Ctr Netherlands ECN, Policy Studies Dept, Amsterdam, Netherlands
[3] Wageningen UR, IMARES, Den Helder, Netherlands
[4] GL Garrad Hassan, Paris, France
关键词
Offshore wind energy; North Sea; Decision support system;
D O I
10.1016/j.enpol.2012.06.056
中图分类号
F [经济];
学科分类号
02 ;
摘要
Offshore wind energy (OWE) in the North Sea has the potential to meet large share of Europe's future electricity demand. To deploy offshore wind parks in a rational way, the overall OWE potential has to be realistically determined. This has to be done on an international, cross-border level and by taking into account the existing man-made and nature-related uses of the North Sea. As spatial conflicts will arise between existing uses and the new OWE uses, a Decision Support System (DSS) based on a Geographic Information System (GIS) was developed. Based on data of existing sea uses and calculation rules for spatial prioritisation analysis, the DSS helps in identifying areas that are (1) generally suitable for offshore wind power, (2) strictly excluded or (3) negotiable with respect to other existing sea uses. The combination of this conflict analysis together with cost assumptions for offshore wind farms and their expected electricity yield leads to identification of favourable areas for OWE deployment in the North Sea. This approach helps to reduce the conflict between offshore wind deployment and existing sea uses in the North Sea for future planning. The results can assist decision makers in developing transnational roadmaps for OWE. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:541 / 551
页数:11
相关论文
共 50 条
  • [41] Caribbean Sea Offshore Wind Energy Assessment and Forecasting
    Bethel, Brandon J.
    [J]. JOURNAL OF MARINE SCIENCE AND APPLICATION, 2021, 20 (03) : 558 - 571
  • [42] Caribbean Sea Offshore Wind Energy Assessment and Forecasting
    Brandon J. Bethel
    [J]. Journal of Marine Science and Application, 2021, 20 : 558 - 571
  • [43] A decision support system for the optimal exploitation of wind energy on regional scale
    Ouammi, Ahmed
    Ghigliotti, Valeria
    Robba, Michela
    Mimet, Abdelaziz
    Sacile, Roberto
    [J]. RENEWABLE ENERGY, 2012, 37 (01) : 299 - 309
  • [44] New insights into the wind energy potential of the west Black Sea area based on the North Sea wind farms model
    Diaconita, Alexandra
    Andrei, Gabriel
    Rusu, Liliana
    [J]. ENERGY REPORTS, 2021, 7 : 112 - 118
  • [45] Ocean beliefs and support for an offshore wind energy project
    Bidwell, David
    [J]. OCEAN & COASTAL MANAGEMENT, 2017, 146 : 99 - 108
  • [46] Offshore Wind Farms as Potential Locations for Flat Oyster (Ostrea edulis) Restoration in the Dutch North Sea
    Kamermans, Pauline
    Walles, Brenda
    Kraan, Marloes
    van Duren, Luca A.
    Kleissen, Frank
    van der Have, Tom M.
    Smaal, Aad C.
    Poelman, Marnix
    [J]. SUSTAINABILITY, 2018, 10 (11):
  • [47] Design Considerations for Offshore Wind Energy Support Structures
    Zarafshan, Ali
    Hall, Rudy
    [J]. Structures Congress 2015, 2015, : 1741 - 1747
  • [48] Investigation of potential metal emissions from galvanic anodes in offshore wind farms into North Sea sediments
    Ebeling, Anna
    Wippermann, Dominik
    Zimmermann, Tristan
    Klein, Ole
    Kirchgeorg, Torben
    Weinberg, Ingo
    Hasenbein, Simone
    Plass, Anna
    Profroeck, Daniel
    [J]. MARINE POLLUTION BULLETIN, 2023, 194
  • [49] Decision support system to assess regional biomass energy potential
    Ramachandra, TV
    Krishna, SV
    Shruthi, BV
    [J]. INTERNATIONAL JOURNAL OF GREEN ENERGY, 2004, 1 (04) : 407 - 428
  • [50] Offshore Wind Energy and Marine Biodiversity in the North Sea: Life Cycle Impact Assessment for Benthic Communities
    Li, Chen
    Coolen, Joop W. P.
    Scherer, Laura
    Mogollon, Jose M.
    Braeckman, Ulrike
    Vanaverbeke, Jan
    Tukker, Arnold
    Steubing, Bernhard
    [J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2023, 57 (16) : 6455 - 6464