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Integration of wave power in Haida Gwaii

Author

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  • Boronowski, Susan
  • Wild, Peter
  • Rowe, Andrew
  • Cornelis van Kooten, G.

Abstract

Remote communities, such as Haida Gwaii, Canada, often have high energy costs due to their dependence on diesel fuel for generation. Haida Gwaii's lengthy coastline, exposed to the northeast Pacific Ocean, provides opportunities for capturing wave energy to potentially reduce energy costs. A mixed integer optimization model of the Haida Gwaii network is used to develop an operational strategy indicative of realistic operator behaviour. Two offshore locations are analyzed where the annual mean theoretical wave power is 42kW/m and 16kW/m, respectively. Results from both models show that the wave energy resource in Haida Gwaii has the potential to reduce the operational cost of energy and carbon dioxide emissions. A maximum allowable capital cost, above which the overall cost of energy would increase, is determined for various levels of installed wave capacity. Offshore transmission cost estimates are included, as well as the effects of the offshore transmission distance.

Suggested Citation

  • Boronowski, Susan & Wild, Peter & Rowe, Andrew & Cornelis van Kooten, G., 2010. "Integration of wave power in Haida Gwaii," Renewable Energy, Elsevier, vol. 35(11), pages 2415-2421.
    • Handle: RePEc:eee:renene:v:35:y:2010:i:11:p:2415-2421
    DOI: 10.1016/j.renene.2010.02.017
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    References listed on IDEAS

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    Citations

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    1. Sierra, J.P. & Mösso, C. & González-Marco, D., 2014. "Wave energy resource assessment in Menorca (Spain)," Renewable Energy, Elsevier, vol. 71(C), pages 51-60.
    2. Halliday, J. Ross & Dorrell, David G. & Wood, Alan R., 2011. "An application of the Fast Fourier Transform to the short-term prediction of sea wave behaviour," Renewable Energy, Elsevier, vol. 36(6), pages 1685-1692.
    3. Sierra, J.P. & González-Marco, D. & Sospedra, J. & Gironella, X. & Mösso, C. & Sánchez-Arcilla, A., 2013. "Wave energy resource assessment in Lanzarote (Spain)," Renewable Energy, Elsevier, vol. 55(C), pages 480-489.
    4. Sierra, J.P. & Martín, C. & Mösso, C. & Mestres, M. & Jebbad, R., 2016. "Wave energy potential along the Atlantic coast of Morocco," Renewable Energy, Elsevier, vol. 96(PA), pages 20-32.
    5. Masoud, Alaa A., 2022. "On the Nile Fan's wave power potential and controlling factors integrating spectral and geostatistical techniques," Renewable Energy, Elsevier, vol. 196(C), pages 921-945.
    6. 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.
    7. Shih-Chun Hsiao & Chao-Tzuen Cheng & Tzu-Yin Chang & Wei-Bo Chen & Han-Lun Wu & Jiun-Huei Jang & Lee-Yaw Lin, 2021. "Assessment of Offshore Wave Energy Resources in Taiwan Using Long-Term Dynamically Downscaled Winds from a Third-Generation Reanalysis Product," Energies, MDPI, vol. 14(3), pages 1-25, January.
    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. 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.
    10. Bhattacharya, Saptarshi & Pennock, Shona & Robertson, Bryson & Hanif, Sarmad & Alam, Md Jan E. & Bhatnagar, Dhruv & Preziuso, Danielle & O’Neil, Rebecca, 2021. "Timing value of marine renewable energy resources for potential grid applications," Applied Energy, Elsevier, vol. 299(C).
    11. 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.

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