IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v78y2015icp253-263.html
   My bibliography  Save this article

Synoptic and sub-synoptic circulation effects on wind resource variability – A case study from a coastal terrain setting in New Zealand

Author

Listed:
  • Gibson, Peter B.
  • Cullen, Nicolas J.

Abstract

This paper investigates linkages between synoptic and sub-synoptic scale atmospheric circulation and temporal wind resource variability, adopting a synoptic weather typing approach. These linkages were examined in a complex terrain, coastal setting in southern New Zealand. Over a 28 month period, approximately 71% of the intermonthly variability in power density was explained by the monthly frequency of a subset of weather types. Within this subset, weather types associated with strong south-west or west orientated pressure gradients were related to enhanced power density, whereas weather types associated with stagnant pressure gradients were related to reduced power density. At the sub-synoptic scale, the effect of the sea breeze on the wind resource was found to be of importance but dependent on both the season and the ambient larger scale atmospheric circulation. Aspects of the sea breeze circulation also appear to be complicated by additional thermal and dynamical influences associated with the larger scale terrain complexity. Similar wind regimes likely occur elsewhere and should be examined specifically in the context of the wind resource.

Suggested Citation

  • Gibson, Peter B. & Cullen, Nicolas J., 2015. "Synoptic and sub-synoptic circulation effects on wind resource variability – A case study from a coastal terrain setting in New Zealand," Renewable Energy, Elsevier, vol. 78(C), pages 253-263.
  • Handle: RePEc:eee:renene:v:78:y:2015:i:c:p:253-263
    DOI: 10.1016/j.renene.2015.01.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148115000117
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2015.01.004?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. Green, Richard & Vasilakos, Nicholas, 2010. "Market behaviour with large amounts of intermittent generation," Energy Policy, Elsevier, vol. 38(7), pages 3211-3220, July.
    2. Dvorak, Michael J. & Archer, Cristina L. & Jacobson, Mark Z., 2010. "California offshore wind energy potential," Renewable Energy, Elsevier, vol. 35(6), pages 1244-1254.
    3. Brayshaw, David James & Troccoli, Alberto & Fordham, Rachael & Methven, John, 2011. "The impact of large scale atmospheric circulation patterns on wind power generation and its potential predictability: A case study over the UK," Renewable Energy, Elsevier, vol. 36(8), pages 2087-2096.
    4. Islam, M.R. & Saidur, R. & Rahim, N.A., 2011. "Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution function," Energy, Elsevier, vol. 36(2), pages 985-992.
    5. Rahimi, Ehsan & Rabiee, Abdorreza & Aghaei, Jamshid & Muttaqi, Kashem M. & Esmaeel Nezhad, Ali, 2013. "On the management of wind power intermittency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 643-653.
    6. Mirhosseini, M. & Sharifi, F. & Sedaghat, A., 2011. "Assessing the wind energy potential locations in province of Semnan in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 449-459, January.
    7. Keyhani, A. & Ghasemi-Varnamkhasti, M. & Khanali, M. & Abbaszadeh, R., 2010. "An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran," Energy, Elsevier, vol. 35(1), pages 188-201.
    8. Brandon Storm & Sukanta Basu, 2010. "The WRF Model Forecast-Derived Low-Level Wind Shear Climatology over the United States Great Plains," Energies, MDPI, vol. 3(2), pages 1-19, February.
    9. Mayhoub, A.B. & Azzam, A., 1997. "A survey on the assessment of wind energy potential in Egypt," Renewable Energy, Elsevier, vol. 11(2), pages 235-247.
    10. Mostafaeipour, A. & Sedaghat, A. & Dehghan-Niri, A.A. & Kalantar, V., 2011. "Wind energy feasibility study for city of Shahrbabak in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2545-2556, August.
    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. Ohba, Masamichi & Kadokura, Shinji & Nohara, Daisuke, 2016. "Impacts of synoptic circulation patterns on wind power ramp events in East Japan," Renewable Energy, Elsevier, vol. 96(PA), pages 591-602.
    2. Ohba, Masamichi & Kanno, Yuki & Nohara, Daisuke, 2022. "Climatology of dark doldrums in Japan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    3. Ohba, Masamichi & Kanno, Yuki & Bando, Shigeru, 2023. "Effects of meteorological and climatological factors on extremely high residual load and possible future changes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    4. Romanic, Djordje & Parvu, Dan & Refan, Maryam & Hangan, Horia, 2018. "Wind and tornado climatologies and wind resource modelling for a modern development situated in “Tornado Alley”," Renewable Energy, Elsevier, vol. 115(C), pages 97-112.

    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. Pishgar-Komleh, S.H. & Keyhani, A. & Sefeedpari, P., 2015. "Wind speed and power density analysis based on Weibull and Rayleigh distributions (a case study: Firouzkooh county of Iran)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 313-322.
    2. Fazelpour, Farivar & Markarian, Elin & Soltani, Nima, 2017. "Wind energy potential and economic assessment of four locations in Sistan and Balouchestan province in Iran," Renewable Energy, Elsevier, vol. 109(C), pages 646-667.
    3. Amirinia, Gholamreza & Mafi, Somayeh & Mazaheri, Said, 2017. "Offshore wind resource assessment of Persian Gulf using uncertainty analysis and GIS," Renewable Energy, Elsevier, vol. 113(C), pages 915-929.
    4. Fazelpour, Farivar & Soltani, Nima & Soltani, Sina & Rosen, Marc A., 2015. "Assessment of wind energy potential and economics in the north-western Iranian cities of Tabriz and Ardabil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 87-99.
    5. Mostafaeipour, Ali & Jadidi, Mohsen & Mohammadi, Kasra & Sedaghat, Ahmad, 2014. "An analysis of wind energy potential and economic evaluation in Zahedan, Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 641-650.
    6. Mollahosseini, Arash & Hosseini, Seyed Amid & Jabbari, Mostafa & Figoli, Alberto & Rahimpour, Ahmad, 2017. "Renewable energy management and market in Iran: A holistic review on current state and future demands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 774-788.
    7. El Alimi, Souheil & Maatallah, Taher & Dahmouni, Anouar Wajdi & Ben Nasrallah, Sassi, 2012. "Modeling and investigation of the wind resource in the gulf of Tunis, Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5466-5478.
    8. Siyavash Filom & Soheil Radfar & Roozbeh Panahi & Erfan Amini & Mehdi Neshat, 2021. "Exploring Wind Energy Potential as a Driver of Sustainable Development in the Southern Coasts of Iran: The Importance of Wind Speed Statistical Distribution Model," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    9. Minaeian, Ali & Sedaghat, Ahmad & Mostafaeipour, Ali & Akbar Alemrajabi, Ali, 2017. "Exploring economy of small communities and households by investing on harnessing wind energy in the province of Sistan-Baluchestan in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 835-847.
    10. Morteza Aien & Omid Mahdavi, 2020. "On the Way of Policy Making to Reduce the Reliance of Fossil Fuels: Case Study of Iran," Sustainability, MDPI, vol. 12(24), pages 1-28, December.
    11. Abul Kalam Azad & Mohammad Golam Rasul & Talal Yusaf, 2014. "Statistical Diagnosis of the Best Weibull Methods for Wind Power Assessment for Agricultural Applications," Energies, MDPI, vol. 7(5), pages 1-30, May.
    12. Khahro, Shahnawaz Farhan & Tabbassum, Kavita & Mahmood Soomro, Amir & Liao, Xiaozhong & Alvi, Muhammad Bux & Dong, Lei & Manzoor, M. Farhan, 2014. "Techno-economical evaluation of wind energy potential and analysis of power generation from wind at Gharo, Sindh Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 460-474.
    13. Mostafaeipour, Ali & Sedaghat, Ahmad & Ghalishooyan, Morteza & Dinpashoh, Yagob & Mirhosseini, Mojtaba & Sefid, Mohammad & Pour-Rezaei, Maryam, 2013. "Evaluation of wind energy potential as a power generation source for electricity production in Binalood, Iran," Renewable Energy, Elsevier, vol. 52(C), pages 222-229.
    14. Amirinia, Gholamreza & Kamranzad, Bahareh & Mafi, Somayeh, 2017. "Wind and wave energy potential in southern Caspian Sea using uncertainty analysis," Energy, Elsevier, vol. 120(C), pages 332-345.
    15. Mohammadi, Kasra & Mostafaeipour, Ali & Sabzpooshani, Majid, 2014. "Assessment of solar and wind energy potentials for three free economic and industrial zones of Iran," Energy, Elsevier, vol. 67(C), pages 117-128.
    16. Tian, Qun & Huang, Gang & Hu, Kaiming & Niyogi, Dev, 2019. "Observed and global climate model based changes in wind power potential over the Northern Hemisphere during 1979–2016," Energy, Elsevier, vol. 167(C), pages 1224-1235.
    17. Akpınar, Adem, 2013. "Evaluation of wind energy potentiality at coastal locations along the north eastern coasts of Turkey," Energy, Elsevier, vol. 50(C), pages 395-405.
    18. Tiang, Tow Leong & Ishak, Dahaman, 2012. "Technical review of wind energy potential as small-scale power generation sources in Penang Island Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3034-3042.
    19. Yaniktepe, B. & Koroglu, T. & Savrun, M.M., 2013. "Investigation of wind characteristics and wind energy potential in Osmaniye, Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 703-711.
    20. Xsitaaz T. Chadee & Naresh R. Seegobin & Ricardo M. Clarke, 2017. "Optimizing the Weather Research and Forecasting (WRF) Model for Mapping the Near-Surface Wind Resources over the Southernmost Caribbean Islands of Trinidad and Tobago," Energies, MDPI, vol. 10(7), pages 1-23, July.

    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:78:y:2015:i:c:p:253-263. 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.