IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v195y2022icp1087-1102.html
   My bibliography  Save this article

Potential, trend and economic assessments of global wave power

Author

Listed:
  • Shao, Zhuxiao
  • Gao, Huijun
  • Liang, Bingchen
  • Lee, Dongyoung

Abstract

Renewable energies with reasonable structure are required to replace traditional fossil energies to against the global anthropogenic warming and energy crisis. Hydropower has provided the largest resource of renewable energy during the last decades; however, only less than 27.6% is potentially available in Southern Hemisphere countries. Here, we found that wave power can remarkably supplement hydropower at the global scale, and wave power can supply more than half of the electricity demands in 44 coastal countries. During the period from 1979 to 2018, wave power is generally increasing along 71.3% of the coast (especially along 88.9% of the southern coast); but hydropower generation in 54% of coastal countries has decreased recently. In the basic scenario, the cost of developing wave power in 72 and 70 coastal countries is less than their half prices of national household and business electricity, respectively; even in the pessimistic scenario, economically exploitable wave power potential is about 82% of theoretical potential. Our finding highlights the potential wave power in maintaining the international security of energy budget in future.

Suggested Citation

  • Shao, Zhuxiao & Gao, Huijun & Liang, Bingchen & Lee, Dongyoung, 2022. "Potential, trend and economic assessments of global wave power," Renewable Energy, Elsevier, vol. 195(C), pages 1087-1102.
  • Handle: RePEc:eee:renene:v:195:y:2022:i:c:p:1087-1102
    DOI: 10.1016/j.renene.2022.06.100
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148122009405
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2022.06.100?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. Majidi, AjabGul & Bingölbali, Bilal & Akpınar, Adem & Iglesias, Gregorio & Jafali, Halid, 2021. "Downscaling wave energy converters for optimum performance in low-energy seas," Renewable Energy, Elsevier, vol. 168(C), pages 705-722.
    2. Penalba, Markel & Davidson, Josh & Windt, Christian & Ringwood, John V., 2018. "A high-fidelity wave-to-wire simulation platform for wave energy converters: Coupled numerical wave tank and power take-off models," Applied Energy, Elsevier, vol. 226(C), pages 655-669.
    3. David E. H. J. Gernaat & Patrick W. Bogaart & Detlef P. van Vuuren & Hester Biemans & Robin Niessink, 2017. "High-resolution assessment of global technical and economic hydropower potential," Nature Energy, Nature, vol. 2(10), pages 821-828, October.
    4. Bingölbali, Bilal & Majidi, Ajab Gul & Akpınar, Adem, 2021. "Inter- and intra-annual wave energy resource assessment in the south-western Black Sea coast," Renewable Energy, Elsevier, vol. 169(C), pages 809-819.
    5. Veigas, M. & López, M. & Iglesias, G., 2014. "Assessing the optimal location for a shoreline wave energy converter," Applied Energy, Elsevier, vol. 132(C), pages 404-411.
    6. Silva, Dina & Martinho, Paulo & Guedes Soares, C., 2018. "Wave energy distribution along the Portuguese continental coast based on a thirty three years hindcast," Renewable Energy, Elsevier, vol. 127(C), pages 1064-1075.
    7. Dina Silva & Eugen Rusu & Carlos Guedes Soares, 2013. "Evaluation of Various Technologies for Wave Energy Conversion in the Portuguese Nearshore," Energies, MDPI, vol. 6(3), pages 1-21, March.
    8. Liang, Bingchen & Shao, Zhuxiao & Wu, Guoxiang & Shao, Meng & Sun, Jinwei, 2017. "New equations of wave energy assessment accounting for the water depth," Applied Energy, Elsevier, vol. 188(C), pages 130-139.
    9. Ozkan, Cigdem & Mayo, Talea, 2019. "The renewable wave energy resource in coastal regions of the Florida peninsula," Renewable Energy, Elsevier, vol. 139(C), pages 530-537.
    10. Fairley, I. & Karunarathna, H. & Masters, I., 2018. "The influence of waves on morphodynamic impacts of energy extraction at a tidal stream turbine site in the Pentland Firth," Renewable Energy, Elsevier, vol. 125(C), pages 630-647.
    11. Karunarathna, Harshinie & Maduwantha, Pravin & Kamranzad, Bahareh & Rathnasooriya, Harsha & de Silva, Kasun, 2020. "Evaluation of spatio-temporal variability of ocean wave power resource around Sri Lanka," Energy, Elsevier, vol. 200(C).
    12. Moazami, Amin & Nik, Vahid M. & Carlucci, Salvatore & Geving, Stig, 2019. "Impacts of future weather data typology on building energy performance – Investigating long-term patterns of climate change and extreme weather conditions," Applied Energy, Elsevier, vol. 238(C), pages 696-720.
    13. Zhao, Yanan & Li, Mingliang & Long, Rui & Liu, Zhichun & Liu, Wei, 2021. "Dynamic modeling and analysis of an advanced adsorption-based osmotic heat engines to harvest solar energy," Renewable Energy, Elsevier, vol. 175(C), pages 638-649.
    14. Rusu, Liliana, 2019. "The wave and wind power potential in the western Black Sea," Renewable Energy, Elsevier, vol. 139(C), pages 1146-1158.
    15. Kankal, Murat & AkpInar, Adem & Kömürcü, Murat Ihsan & Özsahin, Talat Sükrü, 2011. "Modeling and forecasting of Turkey's energy consumption using socio-economic and demographic variables," Applied Energy, Elsevier, vol. 88(5), pages 1927-1939, May.
    16. Rusu, Eugen & Onea, Florin, 2019. "An assessment of the wind and wave power potential in the island environment," Energy, Elsevier, vol. 175(C), pages 830-846.
    17. López-Ruiz, Alejandro & Bergillos, Rafael J. & Ortega-Sánchez, Miguel, 2016. "The importance of wave climate forecasting on the decision-making process for nearshore wave energy exploitation," Applied Energy, Elsevier, vol. 182(C), pages 191-203.
    18. García-Medina, Gabriel & Yang, Zhaoqing & Wu, Wei-Cheng & Wang, Taiping, 2021. "Wave resource characterization at regional and nearshore scales for the U.S. Alaska coast based on a 32-year high-resolution hindcast," Renewable Energy, Elsevier, vol. 170(C), pages 595-612.
    19. Ahn, Seongho & Haas, Kevin A. & Neary, Vincent S., 2020. "Wave energy resource characterization and assessment for coastal waters of the United States," Applied Energy, Elsevier, vol. 267(C).
    20. Penalba, Markel & Ulazia, Alain & Ibarra-Berastegui, Gabriel & Ringwood, John & Sáenz, Jon, 2018. "Wave energy resource variation off the west coast of Ireland and its impact on realistic wave energy converters’ power absorption," Applied Energy, Elsevier, vol. 224(C), pages 205-219.
    21. Guillou, Nicolas & Chapalain, Georges, 2020. "Assessment of wave power variability and exploitation with a long-term hindcast database," Renewable Energy, Elsevier, vol. 154(C), pages 1272-1282.
    22. López-Ruiz, Alejandro & Bergillos, Rafael J. & Raffo-Caballero, Juan M. & Ortega-Sánchez, Miguel, 2018. "Towards an optimum design of wave energy converter arrays through an integrated approach of life cycle performance and operational capacity," Applied Energy, Elsevier, vol. 209(C), pages 20-32.
    23. Deng, Zhengzhi & Wang, Lin & Zhao, Xizeng & Wang, Peng, 2020. "Wave power extraction by a nearshore oscillating water column converter with a surging lip-wall," Renewable Energy, Elsevier, vol. 146(C), pages 662-674.
    24. Scherer, Laura & Pfister, Stephan, 2016. "Global water footprint assessment of hydropower," Renewable Energy, Elsevier, vol. 99(C), pages 711-720.
    25. Martinez, A. & Iglesias, G., 2020. "Wave exploitability index and wave resource classification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    26. Wan, Ling & Gao, Zhen & Moan, Torgeir & Lugni, Claudio, 2016. "Experimental and numerical comparisons of hydrodynamic responses for a combined wind and wave energy converter concept under operational conditions," Renewable Energy, Elsevier, vol. 93(C), pages 87-100.
    27. Harshinie Karunarathna & Pravin Maduwantha & Bahareh Kamranzad & Harsha Rathnasooriya & Kasun De Silva, 2020. "Impacts of Global Climate Change on the Future Ocean Wave Power Potential: A Case Study from the Indian Ocean," Energies, MDPI, vol. 13(11), pages 1-22, June.
    28. Seleshi G. Yalew & Michelle T. H. van Vliet & David E. H. J. Gernaat & Fulco Ludwig & Ariel Miara & Chan Park & Edward Byers & Enrica De Cian & Franziska Piontek & Gokul Iyer & Ioanna Mouratiadou & Ja, 2020. "Impacts of climate change on energy systems in global and regional scenarios," Nature Energy, Nature, vol. 5(10), pages 794-802, October.
    29. Penalba, Markel & Ulazia, Alain & Saénz, Jon & Ringwood, John V., 2020. "Impact of long-term resource variations on wave energy Farms: The Icelandic case," Energy, Elsevier, vol. 192(C).
    30. Lavidas, George, 2019. "Energy and socio-economic benefits from the development of wave energy in Greece," Renewable Energy, Elsevier, vol. 132(C), pages 1290-1300.
    31. Şan, Murat & Akpınar, Adem & Bingölbali, Bilal & Kankal, Murat, 2021. "Geo-spatial multi-criteria evaluation of wave energy exploitation in a semi-enclosed sea," Energy, Elsevier, vol. 214(C).
    32. Mei, H. & Li, Y.P. & Suo, C. & Ma, Y. & Lv, J., 2020. "Analyzing the impact of climate change on energy-economy-carbon nexus system in China," Applied Energy, Elsevier, vol. 262(C).
    33. Fairley, I. & Masters, I. & Karunarathna, H., 2015. "The cumulative impact of tidal stream turbine arrays on sediment transport in the Pentland Firth," Renewable Energy, Elsevier, vol. 80(C), pages 755-769.
    34. Kofoed, Jens Peter & Frigaard, Peter & Friis-Madsen, Erik & Sørensen, Hans Chr., 2006. "Prototype testing of the wave energy converter wave dragon," Renewable Energy, Elsevier, vol. 31(2), pages 181-189.
    35. Amarouche, Khalid & Akpınar, Adem & Bachari, Nour El Islam & Houma, Fouzia, 2020. "Wave energy resource assessment along the Algerian coast based on 39-year wave hindcast," Renewable Energy, Elsevier, vol. 153(C), pages 840-860.
    36. Zheng, C.W. & Li, C.Y., 2017. "Propagation characteristic and intraseasonal oscillation of the swell energy of the Indian Ocean," Applied Energy, Elsevier, vol. 197(C), pages 342-353.
    37. Zhong, Jin & Bollen, Math & Rönnberg, Sarah, 2021. "Towards a 100% renewable energy electricity generation system in Sweden," Renewable Energy, Elsevier, vol. 171(C), pages 812-824.
    38. Carballo, R. & Arean, N. & Álvarez, M. & López, I. & Castro, A. & López, M. & Iglesias, G., 2019. "Wave farm planning through high-resolution resource and performance characterization," Renewable Energy, Elsevier, vol. 135(C), pages 1097-1107.
    39. Gunn, Kester & Stock-Williams, Clym, 2012. "Quantifying the global wave power resource," Renewable Energy, Elsevier, vol. 44(C), pages 296-304.
    40. Henderson, Ross, 2006. "Design, simulation, and testing of a novel hydraulic power take-off system for the Pelamis wave energy converter," Renewable Energy, Elsevier, vol. 31(2), pages 271-283.
    41. Ahn, Seongho & Neary, Vincent S., 2021. "Wave energy resource characterization employing joint distributions in frequency-direction-time domain," Applied Energy, Elsevier, vol. 285(C).
    42. Liang, Bingchen & Shao, Zhuxiao & Wu, Yajie & Shi, Hongda & Liu, Zhen, 2017. "Numerical study to estimate the wave energy under Wave-Current Interaction in the Qingdao coast, China," Renewable Energy, Elsevier, vol. 101(C), pages 845-855.
    Full references (including those not matched with items on IDEAS)

    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. Shi, Xueli & Liang, Bingchen & Du, Shengtao & Shao, Zhuxiao & Li, Shaowu, 2022. "Wave energy assessment in the China East Adjacent Seas based on a 25-year wave-current interaction numerical simulation," Renewable Energy, Elsevier, vol. 199(C), pages 1381-1407.
    2. Sun, Peidong & Xu, Bin & Wang, Jichao, 2022. "Long-term trend analysis and wave energy assessment based on ERA5 wave reanalysis along the Chinese coastline," Applied Energy, Elsevier, vol. 324(C).
    3. Tunde Aderinto & Hua Li, 2018. "Ocean Wave Energy Converters: Status and Challenges," Energies, MDPI, vol. 11(5), pages 1-26, May.
    4. Choupin, O. & Têtu, A. & Del Río-Gamero, B. & Ferri, F. & Kofoed, JP., 2022. "Premises for an annual energy production and capacity factor improvement towards a few optimised wave energy converters configurations and resources pairs," Applied Energy, Elsevier, vol. 312(C).
    5. Majidi, Ajab Gul & Ramos, Victor & Amarouche, Khalid & Rosa Santos, Paulo & das Neves, Luciana & Taveira-Pinto, Francisco, 2023. "Assessing the impact of wave model calibration in the uncertainty of wave energy estimation," Renewable Energy, Elsevier, vol. 212(C), pages 415-429.
    6. Shi, Xueli & Li, Shaowu & Liang, Bingchen & Zhao, Jianchun & Liu, Ye & Wang, Zhenlu, 2023. "Numerical study on the impact of wave-current interaction on wave energy resource assessments in Zhoushan sea area, China," Renewable Energy, Elsevier, vol. 215(C).
    7. Laura Castro-Santos & Ana Rute Bento & Carlos Guedes Soares, 2020. "The Economic Feasibility of Floating Offshore Wave Energy Farms in the North of Spain," Energies, MDPI, vol. 13(4), pages 1-19, February.
    8. Liliana Rusu & Eugen Rusu, 2021. "Evaluation of the Worldwide Wave Energy Distribution Based on ERA5 Data and Altimeter Measurements," Energies, MDPI, vol. 14(2), pages 1-16, January.
    9. Guillou, Nicolas & Chapalain, Georges, 2018. "Annual and seasonal variabilities in the performances of wave energy converters," Energy, Elsevier, vol. 165(PB), pages 812-823.
    10. Rusu, Liliana, 2022. "The near future expected wave power in the coastal environment of the Iberian Peninsula," Renewable Energy, Elsevier, vol. 195(C), pages 657-669.
    11. Ribeiro, A.S. & deCastro, M. & Costoya, X. & Rusu, Liliana & Dias, J.M. & Gomez-Gesteira, M., 2021. "A Delphi method to classify wave energy resource for the 21st century: Application to the NW Iberian Peninsula," Energy, Elsevier, vol. 235(C).
    12. Rusu, Liliana, 2020. "A projection of the expected wave power in the Black Sea until the end of the 21st century," Renewable Energy, Elsevier, vol. 160(C), pages 136-147.
    13. Yang, Zhaoqing & García Medina, Gabriel & Neary, Vincent S. & Ahn, Seongho & Kilcher, Levi & Bharath, Aidan, 2023. "Multi-decade high-resolution regional hindcasts for wave energy resource characterization in U.S. coastal waters," Renewable Energy, Elsevier, vol. 212(C), pages 803-817.
    14. Delpey, Matthias & Lastiri, Ximun & Abadie, Stéphane & Roeber, Volker & Maron, Philippe & Liria, Pedro & Mader, Julien, 2021. "Characterization of the wave resource variability in the French Basque coastal area based on a high-resolution hindcast," Renewable Energy, Elsevier, vol. 178(C), pages 79-95.
    15. Foteinis, Spyros, 2022. "Wave energy converters in low energy seas: Current state and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    16. Morim, Joao & Cartwright, Nick & Etemad-Shahidi, Amir & Strauss, Darrell & Hemer, Mark, 2016. "Wave energy resource assessment along the Southeast coast of Australia on the basis of a 31-year hindcast," Applied Energy, Elsevier, vol. 184(C), pages 276-297.
    17. Ahn, Seongho & Neary, Vincent S. & Haas, Kevin A., 2022. "Global wave energy resource classification system for regional energy planning and project development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    18. Choupin, Ophelie & Del Río-Gamero, B. & Schallenberg-Rodríguez, Julieta & Yánez-Rosales, Pablo, 2022. "Integration of assessment-methods for wave renewable energy: Resource and installation feasibility," Renewable Energy, Elsevier, vol. 185(C), pages 455-482.
    19. Laura Castro-Santos & Dina Silva & A. Rute Bento & Nadia Salvação & C. Guedes Soares, 2018. "Economic Feasibility of Wave Energy Farms in Portugal," Energies, MDPI, vol. 11(11), pages 1-16, November.
    20. de Oliveira, Lucas & Santos, Ivan Felipe Silva dos & Schmidt, Nágila Lucietti & Tiago Filho, Geraldo Lúcio & Camacho, Ramiro Gustavo Ramirez & Barros, Regina Mambeli, 2021. "Economic feasibility study of ocean wave electricity generation in Brazil," Renewable Energy, Elsevier, vol. 178(C), pages 1279-1290.

    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:195:y:2022:i:c:p:1087-1102. 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.