IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v56y2016icp272-282.html
   My bibliography  Save this article

Assessment of wind energy potential over Ontario and Great Lakes using the NARR data: 1980–2012

Author

Listed:
  • Ashtine, Masaō
  • Bello, Richard
  • Higuchi, Kaz

Abstract

Patterns and trends in wind speed and wind power over the entire province of Ontario, Canada, and the adjacent Great Lakes and coastal Hudson and James Bays for small wind turbine hub heights (10 and 30m) were analyzed for the period 1980–2012 using the North American Regional Reanalysis (NARR) dataset. Air density, atmospheric pressure, temperature, and the instantaneous u and v components of wind speed at three-hourly intervals, with a grid resolution of 32km were used for estimating wind power. Statistically significant increasing seasonal and annual 33 year trends in wind power predominate over large water bodies like the Great Lakes and eastern James Bay, where ice cover is diminishing. Significant correlations between wind power and decreasing surface albedo corresponding to declining ice-cover, along with increasing instability in the 10–30m surface layer during the fall and winter months were noted over the Great Lakes, particularly over Lake Superior. The trends suggest a continuing potential for increasing offshore electrical wind generation while lake-ice cover continues to decline.

Suggested Citation

  • Ashtine, Masaō & Bello, Richard & Higuchi, Kaz, 2016. "Assessment of wind energy potential over Ontario and Great Lakes using the NARR data: 1980–2012," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 272-282.
  • Handle: RePEc:eee:rensus:v:56:y:2016:i:c:p:272-282
    DOI: 10.1016/j.rser.2015.11.019
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S136403211501271X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2015.11.019?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. Pryor, S.C. & Barthelmie, R.J., 2010. "Climate change impacts on wind energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 430-437, January.
    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. Akintayo Temiloluwa Abolude & Wen Zhou, 2018. "Assessment and Performance Evaluation of a Wind Turbine Power Output," Energies, MDPI, vol. 11(8), pages 1-15, August.
    2. Li, Jiale & Yu, Xiong (Bill), 2018. "Onshore and offshore wind energy potential assessment near Lake Erie shoreline: A spatial and temporal analysis," Energy, Elsevier, vol. 147(C), pages 1092-1107.
    3. Ali Mostafaeipour & Mostafa Rezaei & Mehdi Jahangiri & Mojtaba Qolipour, 2020. "Feasibility analysis of a new tree-shaped wind turbine for urban application: A case study," Energy & Environment, , vol. 31(7), pages 1230-1256, November.
    4. Ulazia, Alain & Sáenz, Jon & Ibarra-Berastegi, Gabriel & González-Rojí, Santos J. & Carreno-Madinabeitia, Sheila, 2019. "Global estimations of wind energy potential considering seasonal air density changes," Energy, Elsevier, vol. 187(C).
    5. Ismail Kamdar & Shahid Ali & Juntakan Taweekun & Hafiz Muhammad Ali, 2021. "Wind Farm Site Selection Using WAsP Tool for Application in the Tropical Region," Sustainability, MDPI, vol. 13(24), pages 1-25, December.
    6. Langodan, Sabique & Viswanadhapalli, Yesubabu & Dasari, Hari Prasad & Knio, Omar & Hoteit, Ibrahim, 2016. "A high-resolution assessment of wind and wave energy potentials in the Red Sea," Applied Energy, Elsevier, vol. 181(C), pages 244-255.
    7. Boudia, Sidi Mohammed & Santos, João Andrade, 2019. "Assessment of large-scale wind resource features in Algeria," Energy, Elsevier, vol. 189(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. Huber, Matthias & Dimkova, Desislava & Hamacher, Thomas, 2014. "Integration of wind and solar power in Europe: Assessment of flexibility requirements," Energy, Elsevier, vol. 69(C), pages 236-246.
    2. Jerez, S. & Thais, F. & Tobin, I. & Wild, M. & Colette, A. & Yiou, P. & Vautard, R., 2015. "The CLIMIX model: A tool to create and evaluate spatially-resolved scenarios of photovoltaic and wind power development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1-15.
    3. Huo, Dongxia & Bagadeem, Salim & Elsherazy, Tarek Abbas & Nasnodkar, Siddhesh Prabhu & Kalra, Akash, 2023. "Renewable energy consumption and the rising effect of climate policy uncertainty: Fresh policy analysis from China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1459-1474.
    4. Jha, Sunil Kr. & Bilalovic, Jasmin & Jha, Anju & Patel, Nilesh & Zhang, Han, 2017. "Renewable energy: Present research and future scope of Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 297-317.
    5. Miguel Á. Rodríguez-López & Emilio Cerdá & Pablo del Rio, 2020. "Modeling Wind-Turbine Power Curves: Effects of Environmental Temperature on Wind Energy Generation," Energies, MDPI, vol. 13(18), pages 1-21, September.
    6. Rusu, Eugen, 2024. "The expected wind power dynamics in the Mediterranean Sea considering different climate change scenarios," Renewable Energy, Elsevier, vol. 227(C).
    7. Perera, A.T.D. & Khayatian, F. & Eggimann, S. & Orehounig, K. & Halgamuge, Saman, 2022. "Quantifying the climate and human-system-driven uncertainties in energy planning by using GANs," Applied Energy, Elsevier, vol. 328(C).
    8. Gaitan, Carlos F. & Cannon, Alex J., 2013. "Validation of historical and future statistically downscaled pseudo-observed surface wind speeds in terms of annual climate indices and daily variability," Renewable Energy, Elsevier, vol. 51(C), pages 489-496.
    9. Laino, Emilio & Iglesias, Gregorio, 2023. "Extreme climate change hazards and impacts on European coastal cities: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    10. Wang, Bing & Ke, Ruo-Yu & Yuan, Xiao-Chen & Wei, Yi-Ming, 2014. "China׳s regional assessment of renewable energy vulnerability to climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 185-195.
    11. Grubert, E. & Zacarias, M., 2022. "Paradigm shifts for environmental assessment of decarbonizing energy systems: Emerging dominance of embodied impacts and design-oriented decision support needs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    12. Aissatou Ndiaye & Mounkaila Saley Moussa & Cheikh Dione & Windmanagda Sawadogo & Jan Bliefernicht & Laouali Dungall & Harald Kunstmann, 2022. "Projected Changes in Solar PV and Wind Energy Potential over West Africa: An Analysis of CORDEX-CORE Simulations," Energies, MDPI, vol. 15(24), pages 1-22, December.
    13. Cinzia Rainone & Danilo De Siero & Luigi Iuspa & Antonio Viviani & Giuseppe Pezzella, 2023. "A Numerical Procedure for Variable-Pitch Law Formulation of Vertical-Axis Wind Turbines," Energies, MDPI, vol. 16(1), pages 1-20, January.
    14. Miao, Haozeyu & Xu, Haiming & Huang, Gang & Yang, Kai, 2023. "Evaluation and future projections of wind energy resources over the Northern Hemisphere in CMIP5 and CMIP6 models," Renewable Energy, Elsevier, vol. 211(C), pages 809-821.
    15. Aslam, Naveed & Yang, Wanping & Saeed, Rabia & Ullah, Fahim, 2024. "Energy transition as a solution for energy security risk: Empirical evidence from BRI countries," Energy, Elsevier, vol. 290(C).
    16. Mirzaei, Ali & Tangang, Fredolin & Juneng, Liew, 2014. "Wave energy potential along the east coast of Peninsular Malaysia," Energy, Elsevier, vol. 68(C), pages 722-734.
    17. Bergen, Matías & Muñoz, Francisco D., 2018. "Quantifying the effects of uncertain climate and environmental policies on investments and carbon emissions: A case study of Chile," Energy Economics, Elsevier, vol. 75(C), pages 261-273.
    18. Jahangir, Mohammad Hossein & Mazinani, Mehran, 2020. "Evaluation of the convertible offshore wave energy capacity of the southern strip of the Caspian Sea," Renewable Energy, Elsevier, vol. 152(C), pages 331-346.
    19. Früh, Wolf-Gerrit, 2013. "Long-term wind resource and uncertainty estimation using wind records from Scotland as example," Renewable Energy, Elsevier, vol. 50(C), pages 1014-1026.
    20. Bonjean Stanton, Muriel C. & Dessai, Suraje & Paavola, Jouni, 2016. "A systematic review of the impacts of climate variability and change on electricity systems in Europe," Energy, Elsevier, vol. 109(C), pages 1148-1159.

    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:rensus:v:56:y:2016:i:c:p:272-282. 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.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.