IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v163y2021icp1548-1559.html
   My bibliography  Save this article

Collocating offshore wind and wave generators to reduce power output variability: A Multi-site analysis

Author

Listed:
  • Gideon, Roan A.
  • Bou-Zeid, Elie

Abstract

Offshore wind and wave power are renewable energy sources that share the marine environment. Collocating these systems can reduce power variability; however, the extent of this differs between sites. Regional differences in combined system variability are investigated. Potential power output of wind and wave systems is simulated for sites throughout the US East and West Coasts and UK North Sea using field observations of met-ocean conditions. The power production potential is approximated using an idealized power curve of the Siemens Gamesa SWT-6.0-154 6 MW wind turbine and the Pelamis 750 kW wave energy converter power matrix. The regional comparative approach provides novel insight into collocated system power variability on the US East Coast, and how it contrasts with the previously studied US West Coast and UK North Sea. Hourly and diurnal variability are found to decrease on the US West Coast and UK North Sea, with minimal effect on the US East Coast. The benefits for the West Coast extend to seasonal time scales (but as expected not to annual scales), but benefits for all regions depend on the specific wind-wave capacity mix. Reduced variability can benefit collocated wind and wave power, but these effects differ regionally and must be assessed locally.

Suggested Citation

  • Gideon, Roan A. & Bou-Zeid, Elie, 2021. "Collocating offshore wind and wave generators to reduce power output variability: A Multi-site analysis," Renewable Energy, Elsevier, vol. 163(C), pages 1548-1559.
    • Handle: RePEc:eee:renene:v:163:y:2021:i:c:p:1548-1559
    DOI: 10.1016/j.renene.2020.09.047
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148120314671
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2020.09.047?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fusco, Francesco & Nolan, Gary & Ringwood, John V., 2010. "Variability reduction through optimal combination of wind/wave resources – An Irish case study," Energy, Elsevier, vol. 35(1), pages 314-325.
    2. Astariz, S. & Iglesias, G., 2016. "Output power smoothing and reduced downtime period by combined wind and wave energy farms," Energy, Elsevier, vol. 97(C), pages 69-81.
    3. Rusu, Liliana, 2019. "The wave and wind power potential in the western Black Sea," Renewable Energy, Elsevier, vol. 139(C), pages 1146-1158.
    4. Gallagher, Sarah & Tiron, Roxana & Whelan, Eoin & Gleeson, Emily & Dias, Frédéric & McGrath, Ray, 2016. "The nearshore wind and wave energy potential of Ireland: A high resolution assessment of availability and accessibility," Renewable Energy, Elsevier, vol. 88(C), pages 494-516.
    5. Ueckerdt, Falko & Brecha, Robert & Luderer, Gunnar, 2015. "Analyzing major challenges of wind and solar variability in power systems," Renewable Energy, Elsevier, vol. 81(C), pages 1-10.
    6. Stoutenburg, Eric D. & Jenkins, Nicholas & Jacobson, Mark Z., 2010. "Power output variations of co-located offshore wind turbines and wave energy converters in California," Renewable Energy, Elsevier, vol. 35(12), pages 2781-2791.
    7. Francisco Haces-Fernandez & Hua Li & David Ramirez, 2018. "Assessment of the Potential of Energy Extracted from Waves and Wind to Supply Offshore Oil Platforms Operating in the Gulf of Mexico," Energies, MDPI, vol. 11(5), pages 1-25, April.
    8. Ferrari, Francesco & Besio, Giovanni & Cassola, Federico & Mazzino, Andrea, 2020. "Optimized wind and wave energy resource assessment and offshore exploitability in the Mediterranean Sea," Energy, Elsevier, vol. 190(C).
    9. Kalogeri, Christina & Galanis, George & Spyrou, Christos & Diamantis, Dimitris & Baladima, Foteini & Koukoula, Marika & Kallos, George, 2017. "Assessing the European offshore wind and wave energy resource for combined exploitation," Renewable Energy, Elsevier, vol. 101(C), pages 244-264.
    10. Astariz, S. & Perez-Collazo, C. & Abanades, J. & Iglesias, G., 2015. "Co-located wave-wind farms: Economic assessment as a function of layout," Renewable Energy, Elsevier, vol. 83(C), pages 837-849.
    11. Amponsah, Nana Yaw & Troldborg, Mads & Kington, Bethany & Aalders, Inge & Hough, Rupert Lloyd, 2014. "Greenhouse gas emissions from renewable energy sources: A review of lifecycle considerations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 461-475.
    12. Gaughan, Eilis & Fitzgerald, Breiffni, 2020. "An assessment of the potential for Co-located offshore wind and wave farms in Ireland," Energy, Elsevier, vol. 200(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gao, Qiang & Khan, Salman Saeed & Sergiienko, Nataliia & Ertugrul, Nesimi & Hemer, Mark & Negnevitsky, Michael & Ding, Boyin, 2022. "Assessment of wind and wave power characteristic and potential for hybrid exploration in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    2. Wei Sun & Sam Harrison & Gareth P. Harrison, 2020. "Value of Local Offshore Renewable Resource Diversity for Network Hosting Capacity," Energies, MDPI, vol. 13(22), pages 1-20, November.
    3. Christie, David & Neill, Simon P. & Arnold, Peter, 2023. "Characterising the wave energy resource of Lanzarote, Canary Islands," Renewable Energy, Elsevier, vol. 206(C), pages 1198-1211.
    4. Gao, Qiang & Yuan, Rui & Ertugrul, Nesimi & Ding, Boyin & Hayward, Jennifer A. & Li, Ye, 2023. "Analysis of energy variability and costs for offshore wind and hybrid power unit with equivalent energy storage system," Applied Energy, Elsevier, vol. 342(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gao, Qiang & Khan, Salman Saeed & Sergiienko, Nataliia & Ertugrul, Nesimi & Hemer, Mark & Negnevitsky, Michael & Ding, Boyin, 2022. "Assessment of wind and wave power characteristic and potential for hybrid exploration in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    2. Wen, Yi & Kamranzad, Bahareh & Lin, Pengzhi, 2022. "Joint exploitation potential of offshore wind and wave energy along the south and southeast coasts of China," Energy, Elsevier, vol. 249(C).
    3. Gao, Qiang & Yuan, Rui & Ertugrul, Nesimi & Ding, Boyin & Hayward, Jennifer A. & Li, Ye, 2023. "Analysis of energy variability and costs for offshore wind and hybrid power unit with equivalent energy storage system," Applied Energy, Elsevier, vol. 342(C).
    4. Gaughan, Eilis & Fitzgerald, Breiffni, 2020. "An assessment of the potential for Co-located offshore wind and wave farms in Ireland," Energy, Elsevier, vol. 200(C).
    5. P Patel, Ravi & Nagababu, Garlapati & Kachhwaha, Surendra Singh & V V Arun Kumar, Surisetty & M, Seemanth, 2022. "Combined wind and wave resource assessment and energy extraction along the Indian coast," Renewable Energy, Elsevier, vol. 195(C), pages 931-945.
    6. Clark, Caitlyn E. & Miller, Annalise & DuPont, Bryony, 2019. "An analytical cost model for co-located floating wind-wave energy arrays," Renewable Energy, Elsevier, vol. 132(C), pages 885-897.
    7. Shabnam Hosseinzadeh & Amir Etemad-Shahidi & Rodney A. Stewart, 2023. "Site Selection of Combined Offshore Wind and Wave Energy Farms: A Systematic Review," Energies, MDPI, vol. 16(4), pages 1-33, February.
    8. Muhammad Waqas Ayub & Ameer Hamza & George A. Aggidis & Xiandong Ma, 2023. "A Review of Power Co-Generation Technologies from Hybrid Offshore Wind and Wave Energy," Energies, MDPI, vol. 16(1), pages 1-21, January.
    9. Ferrari, Francesco & Besio, Giovanni & Cassola, Federico & Mazzino, Andrea, 2020. "Optimized wind and wave energy resource assessment and offshore exploitability in the Mediterranean Sea," Energy, Elsevier, vol. 190(C).
    10. Kalogeri, Christina & Galanis, George & Spyrou, Christos & Diamantis, Dimitris & Baladima, Foteini & Koukoula, Marika & Kallos, George, 2017. "Assessing the European offshore wind and wave energy resource for combined exploitation," Renewable Energy, Elsevier, vol. 101(C), pages 244-264.
    11. Astariz, S. & Iglesias, G., 2016. "Co-located wind and wave energy farms: Uniformly distributed arrays," Energy, Elsevier, vol. 113(C), pages 497-508.
    12. Martinez, A. & Iglesias, G., 2022. "Mapping of the levelised cost of energy for floating offshore wind in the European Atlantic," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    13. Sharay Astariz & Gregorio Iglesias, 2015. "Enhancing Wave Energy Competitiveness through Co-Located Wind and Wave Energy Farms. A Review on the Shadow Effect," Energies, MDPI, vol. 8(7), pages 1-23, July.
    14. Astariz, S. & Iglesias, G., 2016. "Output power smoothing and reduced downtime period by combined wind and wave energy farms," Energy, Elsevier, vol. 97(C), pages 69-81.
    15. Clemente, D. & Rosa-Santos, P. & Taveira-Pinto, F., 2021. "On the potential synergies and applications of wave energy converters: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    16. Lira-Loarca, Andrea & Ferrari, Francesco & Mazzino, Andrea & Besio, Giovanni, 2021. "Future wind and wave energy resources and exploitability in the Mediterranean Sea by 2100," Applied Energy, Elsevier, vol. 302(C).
    17. Del Pozo Gonzalez, Hector & Bianchi, Fernando D. & Dominguez-Garcia, Jose Luis & Gomis-Bellmunt, Oriol, 2023. "Co-located wind-wave farms: Optimal control and grid integration," Energy, Elsevier, vol. 272(C).
    18. Carlos Perez-Collazo & Deborah Greaves & Gregorio Iglesias, 2018. "A Novel Hybrid Wind-Wave Energy Converter for Jacket-Frame Substructures," Energies, MDPI, vol. 11(3), pages 1-20, March.
    19. Astariz, S. & Iglesias, G., 2017. "The collocation feasibility index – A method for selecting sites for co-located wave and wind farms," Renewable Energy, Elsevier, vol. 103(C), pages 811-824.
    20. Rusu, Liliana, 2019. "The wave and wind power potential in the western Black Sea," Renewable Energy, Elsevier, vol. 139(C), pages 1146-1158.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:163:y:2021:i:c:p:1548-1559. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.