IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i22p8637-d976090.html
   My bibliography  Save this article

Nearshore Wave Energy Resource Assessment for Off-Grid Islands: A Case Study in Cuyo Island, Palawan, Philippines

Author

Listed:
  • Jonathan C. Pacaldo

    (Center for Research in Energy Systems and Technology (CREST), University of San Carlos, Cebu City 6000, Philippines
    Engineering Graduate Program, School of Engineering, University of San Carlos, Cebu City 6000, Philippines
    Department of Electrical Engineering, Palawan State University, Puerto Princesa City 5300, Philippines)

  • Princess Hope T. Bilgera

    (Magwayen Enterprise for Management of Environmental Systems Incorporated, Quezon City 1105, Philippines
    OceanPixel Pte Ltd., 39 Pandan Road, Jurong, Singapore 609281, Singapore)

  • Michael Lochinvar S. Abundo

    (Center for Research in Energy Systems and Technology (CREST), University of San Carlos, Cebu City 6000, Philippines
    Engineering Graduate Program, School of Engineering, University of San Carlos, Cebu City 6000, Philippines
    OceanPixel Pte Ltd., 39 Pandan Road, Jurong, Singapore 609281, Singapore)

Abstract

Electrifying off-grid and isolated islands in the Philippines remains one of the challenges that hinders community development, and one of the solutions seen to ensure energy security, energy access and promote a low-carbon future is the use of renewable energy sources. This study determines the nearshore wave energy resource during monsoon seasons in Cuyo Island using a 40-year wave hindcast and 8-year on-site wind speed data as inputs to develop a high-resolution wave energy model using SWAN and assesses its annual energy production through matching with wave energy devices. The results show that the average significant wave height ( H s ), peak period ( T p ) and wave power density ( P d ) during a northeast monsoon are H s = 1.35 m, T p = 4.79 s and P d = 4.05 kW/m, respectively, while a southwest monsoon, which is sheltered by the mainland, results in H s = 0.52 m, T p = 3.37 s and P d = 0.34 kW/m. While the simulated model was observed to overestimate the significant wave height (bias = 0.398, RMSE = 0.54 and SI = 1.34), it has a strong relationship with the “observed values” (average r = 0.9). The annual energy production for Wave Dragon, Archimedes Wave Swing and Seawave Slot-Cone Generator are highest at 1970.6 MWh, 2462.04 MWh, 62.424 MWh and 4099.23 MWh, respectively.

Suggested Citation

  • Jonathan C. Pacaldo & Princess Hope T. Bilgera & Michael Lochinvar S. Abundo, 2022. "Nearshore Wave Energy Resource Assessment for Off-Grid Islands: A Case Study in Cuyo Island, Palawan, Philippines," Energies, MDPI, vol. 15(22), pages 1-29, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8637-:d:976090
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/22/8637/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/22/8637/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bento, A. Rute & Martinho, Paulo & Guedes Soares, C., 2018. "Wave energy assessement for Northern Spain from a 33-year hindcast," Renewable Energy, Elsevier, vol. 127(C), pages 322-333.
    2. Mirzaei, Ali & Tangang, Fredolin & Juneng, Liew, 2015. "Wave energy potential assessment in the central and southern regions of the South China Sea," Renewable Energy, Elsevier, vol. 80(C), pages 454-470.
    3. Wang, Zhifeng & Dong, Sheng & Li, Xue & Guedes Soares, C., 2016. "Assessments of wave energy in the Bohai Sea, China," Renewable Energy, Elsevier, vol. 90(C), pages 145-156.
    4. Diego Vicinanza & Lucia Margheritini & Jens Peter Kofoed & Mariano Buccino, 2012. "The SSG Wave Energy Converter: Performance, Status and Recent Developments," Energies, MDPI, vol. 5(2), pages 1-34, January.
    5. Rusu, Liliana & Guedes Soares, C., 2012. "Wave energy assessments in the Azores islands," Renewable Energy, Elsevier, vol. 45(C), pages 183-196.
    6. 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.
    7. Fadaeenejad, M. & Shamsipour, R. & Rokni, S.D. & Gomes, C., 2014. "New approaches in harnessing wave energy: With special attention to small islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 345-354.
    8. Stopa, Justin E. & Filipot, Jean-François & Li, Ning & Cheung, Kwok Fai & Chen, Yi-Leng & Vega, Luis, 2013. "Wave energy resources along the Hawaiian Island chain," Renewable Energy, Elsevier, vol. 55(C), pages 305-321.
    9. Rusu, Eugen & Guedes Soares, C., 2012. "Wave energy pattern around the Madeira Islands," Energy, Elsevier, vol. 45(1), pages 771-785.
    10. Veigas, M. & Ramos, V. & Iglesias, G., 2014. "A wave farm for an island: Detailed effects on the nearshore wave climate," Energy, Elsevier, vol. 69(C), pages 801-812.
    11. 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.
    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. Lin, Yifan & Dong, Sheng & Wang, Zhifeng & Guedes Soares, C., 2019. "Wave energy assessment in the China adjacent seas on the basis of a 20-year SWAN simulation with unstructured grids," Renewable Energy, Elsevier, vol. 136(C), pages 275-295.
    2. 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.
    3. 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.
    4. Bingölbali, Bilal & Jafali, Halid & Akpınar, Adem & Bekiroğlu, Serkan, 2020. "Wave energy potential and variability for the south west coasts of the Black Sea: The WEB-based wave energy atlas," Renewable Energy, Elsevier, vol. 154(C), pages 136-150.
    5. Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2020. "Wave energy assessment based on a 33-year hindcast for the Canary Islands," Renewable Energy, Elsevier, vol. 152(C), pages 259-269.
    6. Eugen Rusu, 2014. "Evaluation of the Wave Energy Conversion Efficiency in Various Coastal Environments," Energies, MDPI, vol. 7(6), pages 1-17, June.
    7. 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.
    8. Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2014. "Assessment of wave energy in the Canary Islands," Renewable Energy, Elsevier, vol. 68(C), pages 774-784.
    9. 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.
    10. Rute Bento, A. & Martinho, Paulo & Guedes Soares, C., 2015. "Numerical modelling of the wave energy in Galway Bay," Renewable Energy, Elsevier, vol. 78(C), pages 457-466.
    11. Xu, Sheng & Wang, Shan & Guedes Soares, C., 2019. "Review of mooring design for floating wave energy converters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 595-621.
    12. Sierra, J.P. & Casas-Prat, M. & Campins, E., 2017. "Impact of climate change on wave energy resource: The case of Menorca (Spain)," Renewable Energy, Elsevier, vol. 101(C), pages 275-285.
    13. 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.
    14. Mustapa, M.A. & Yaakob, O.B. & Ahmed, Yasser M. & Rheem, Chang-Kyu & Koh, K.K. & Adnan, Faizul Amri, 2017. "Wave energy device and breakwater integration: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 43-58.
    15. Américo S. Ribeiro & Maite deCastro & Liliana Rusu & Mariana Bernardino & João M. Dias & Moncho Gomez-Gesteira, 2020. "Evaluating the Future Efficiency of Wave Energy Converters along the NW Coast of the Iberian Peninsula," Energies, MDPI, vol. 13(14), pages 1-15, July.
    16. Egidijus Kasiulis & Jens Peter Kofoed & Arvydas Povilaitis & Algirdas Radzevičius, 2017. "Spatial Distribution of the Baltic Sea Near-Shore Wave Power Potential along the Coast of Klaipėda, Lithuania," Energies, MDPI, vol. 10(12), pages 1-18, December.
    17. Appendini, Christian M. & Urbano-Latorre, Claudia P. & Figueroa, Bernardo & Dagua-Paz, Claudia J. & Torres-Freyermuth, Alec & Salles, Paulo, 2015. "Wave energy potential assessment in the Caribbean Low Level Jet using wave hindcast information," Applied Energy, Elsevier, vol. 137(C), pages 375-384.
    18. Valentina Vannucchi & Lorenzo Cappietti, 2016. "Wave Energy Assessment and Performance Estimation of State of the Art Wave Energy Converters in Italian Hotspots," Sustainability, MDPI, vol. 8(12), pages 1-21, December.
    19. Carlo Lo Re & Giorgio Manno & Giuseppe Ciraolo & Giovanni Besio, 2019. "Wave Energy Assessment around the Aegadian Islands (Sicily)," Energies, MDPI, vol. 12(3), pages 1-20, January.
    20. Andrea Farkas & Nastia Degiuli & Ivana Martić, 2019. "Assessment of Offshore Wave Energy Potential in the Croatian Part of the Adriatic Sea and Comparison with Wind Energy Potential," Energies, MDPI, vol. 12(12), pages 1-20, June.

    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:gam:jeners:v:15:y:2022:i:22:p:8637-:d:976090. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.