IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v52y2013icp8-15.html
   My bibliography  Save this article

Wind energy assessment: Masdar City case study

Author

Listed:
  • Janajreh, Isam
  • Su, Liu
  • Alan, Fathi

Abstract

Annual wind data at Masdar City (24.4202° N, 54.6132° E) has been recorded in attempt to assess wind energy potential. Thereby, accurate wind energy production can be assessed for a given region. The vertical wind profile is inferred and was appropriately fitted with power law profile. The spectrum of the temporal data is obtained which exhibits turbulent type. Investigation of high resolution temporal records also emphasized the turbulence, non-periodicity, and intermittency of the wind data. Consequently, frequency-scale wavelet decomposition is carried out, and intermittency of the data is identified. The measured wind capacity categorized Masdar City as poor wind region. It is followed by fitting the measured wind data with the maximum likelihood Weibull distribution. The power curves of two sizes of horizontal axis wind turbines (HAWTs) are coupled with the Weibull distribution. The annual energy production was found to be 3307.08 MWh and 28.73 MWh at the height of 50 m for the large and small turbine, respectively. Considering the turbine efficiency and the return on the investment for the current case study, results are in favor of small size HAWT deployment, i.e. 3.5 KW Windspot, over the larger size.

Suggested Citation

  • Janajreh, Isam & Su, Liu & Alan, Fathi, 2013. "Wind energy assessment: Masdar City case study," Renewable Energy, Elsevier, vol. 52(C), pages 8-15.
    • Handle: RePEc:eee:renene:v:52:y:2013:i:c:p:8-15
    DOI: 10.1016/j.renene.2012.09.025
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148112005964
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2012.09.025?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. Chellali, F. & Khellaf, A. & Belouchrani, A., 2010. "Wavelet spectral analysis of the temperature and wind speed data at Adrar, Algeria," Renewable Energy, Elsevier, vol. 35(6), pages 1214-1219.
    2. 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.
    3. Chang, Tsang-Jung & Wu, Yu-Ting & Hsu, Hua-Yi & Chu, Chia-Ren & Liao, Chun-Min, 2003. "Assessment of wind characteristics and wind turbine characteristics in Taiwan," Renewable Energy, Elsevier, vol. 28(6), pages 851-871.
    4. Pilavachi, P.A. & Kalampalikas, N.G. & Kakouris, M.K. & Kakaras, E. & Giannakopoulos, D., 2009. "The energy policy of the Republic of Cyprus," Energy, Elsevier, vol. 34(5), pages 547-554.
    5. Kelleher, J. & Ringwood, J.V., 2009. "A computational tool for evaluating the economics of solar and wind microgeneration of electricity," Energy, Elsevier, vol. 34(4), pages 401-409.
    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. Kisel, Einari & Hamburg, Arvi & Härm, Mihkel & Leppiman, Ando & Ots, Märt, 2016. "Concept for Energy Security Matrix," Energy Policy, Elsevier, vol. 95(C), pages 1-9.
    2. Wang, B. & Cot, L.D. & Adolphe, L. & Geoffroy, S. & Sun, S., 2017. "Cross indicator analysis between wind energy potential and urban morphology," Renewable Energy, Elsevier, vol. 113(C), pages 989-1006.
    3. Juaidi, Adel & Montoya, Francisco G. & Gázquez, Jose A. & Manzano-Agugliaro, Francisco, 2016. "An overview of energy balance compared to sustainable energy in United Arab Emirates," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1195-1209.
    4. Hast, A. & Syri, S. & Jokiniemi, J. & Huuskonen, M. & Cross, S., 2015. "Review of green electricity products in the United Kingdom, Germany and Finland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1370-1384.
    5. Francesco Balduzzi & Marco Zini & Andreu Carbó Molina & Gianni Bartoli & Tim De Troyer & Mark C. Runacres & Giovanni Ferrara & Alessandro Bianchini, 2020. "Understanding the Aerodynamic Behavior and Energy Conversion Capability of Small Darrieus Vertical Axis Wind Turbines in Turbulent Flows," Energies, MDPI, vol. 13(11), pages 1-15, June.
    6. Mokri, Alaeddine & Aal Ali, Mona & Emziane, Mahieddine, 2013. "Solar energy in the United Arab Emirates: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 340-375.
    7. Almansoori, Ali & Betancourt-Torcat, Alberto, 2015. "Design optimization model for the integration of renewable and nuclear energy in the United Arab Emirates’ power system," Applied Energy, Elsevier, vol. 148(C), pages 234-251.
    8. Browne, Oliver & Poletti, Stephen & Young, David, 2015. "How does market power affect the impact of large scale wind investment in 'energy only' wholesale electricity markets?," Energy Policy, Elsevier, vol. 87(C), pages 17-27.
    9. Bahrami, Arian & Teimourian, Amir & Okoye, Chiemeka Onyeka & Khosravi, Nima, 2019. "Assessing the feasibility of wind energy as a power source in Turkmenistan; a major opportunity for Central Asia's energy market," Energy, Elsevier, vol. 183(C), pages 415-427.
    10. Escalante Soberanis, M.A. & Mérida, W., 2015. "Regarding the influence of the Van der Hoven spectrum on wind energy applications in the meteorological mesoscale and microscale," Renewable Energy, Elsevier, vol. 81(C), pages 286-292.
    11. Martínez Ceseña, Eduardo A. & Good, Nicholas & Mancarella, Pierluigi, 2015. "Electrical network capacity support from demand side response: Techno-economic assessment of potential business cases for small commercial and residential end-users," Energy Policy, Elsevier, vol. 82(C), pages 222-232.
    12. Weijermars, Ruud, 2014. "US shale gas production outlook based on well roll-out rate scenarios," Applied Energy, Elsevier, vol. 124(C), pages 283-297.
    13. Al-Nassar, W.K. & Neelamani, S. & Al-Salem, K.A. & Al-Dashti, H.A., 2019. "Feasibility of offshore wind energy as an alternative source for the state of Kuwait," Energy, Elsevier, vol. 169(C), pages 783-796.
    14. González-Longatt, Francisco & Medina, Humberto & Serrano González, Javier, 2015. "Spatial interpolation and orographic correction to estimate wind energy resource in Venezuela," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 1-16.
    15. Premalatha, M. & Tauseef, S.M. & Abbasi, Tasneem & Abbasi, S.A., 2013. "The promise and the performance of the world's first two zero carbon eco-cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 660-669.
    16. Chadee, Xsitaaz T. & Clarke, Ricardo M., 2018. "Wind resources and the levelized cost of wind generated electricity in the Caribbean islands of Trinidad and Tobago," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2526-2540.

    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Sergei Kolesnik & Yossi Rabinovitz & Michael Byalsky & Asher Yahalom & Alon Kuperman, 2023. "Assessment of Wind Speed Statistics in Samaria Region and Potential Energy Production," Energies, MDPI, vol. 16(9), pages 1-35, May.
    6. 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.
    7. Wang, Jianzhou & Qin, Shanshan & Jin, Shiqiang & Wu, Jie, 2015. "Estimation methods review and analysis of offshore extreme wind speeds and wind energy resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 26-42.
    8. Abbes, Mohamed & Belhadj, Jamel, 2012. "Wind resource estimation and wind park design in El-Kef region, Tunisia," Energy, Elsevier, vol. 40(1), pages 348-357.
    9. 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.
    10. Chang, Tian-Pau & Liu, Feng-Jiao & Ko, Hong-Hsi & Huang, Ming-Chao, 2017. "Oscillation characteristic study of wind speed, global solar radiation and air temperature using wavelet analysis," Applied Energy, Elsevier, vol. 190(C), pages 650-657.
    11. Usta, Ilhan, 2016. "An innovative estimation method regarding Weibull parameters for wind energy applications," Energy, Elsevier, vol. 106(C), pages 301-314.
    12. Ouammi, Ahmed & Sacile, Roberto & Zejli, Driss & Mimet, Abdelaziz & Benchrifa, Rachid, 2010. "Sustainability of a wind power plant: Application to different Moroccan sites," Energy, Elsevier, vol. 35(10), pages 4226-4236.
    13. Wu, Jie & Wang, Jianzhou & Chi, Dezhong, 2013. "Wind energy potential assessment for the site of Inner Mongolia in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 215-228.
    14. 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.
    15. Chen, Yen-Haw & Lu, Su-Ying & Chang, Yung-Ruei & Lee, Ta-Tung & Hu, Ming-Che, 2013. "Economic analysis and optimal energy management models for microgrid systems: A case study in Taiwan," Applied Energy, Elsevier, vol. 103(C), pages 145-154.
    16. Chandel, S.S. & Ramasamy, P. & Murthy, K.S.R, 2014. "Wind power potential assessment of 12 locations in western Himalayan region of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 530-545.
    17. Ritter, Matthias & Shen, Zhiwei & López Cabrera, Brenda & Odening, Martin & Deckert, Lars, 2015. "Designing an index for assessing wind energy potential," Renewable Energy, Elsevier, vol. 83(C), pages 416-424.
    18. Xinxin He & Jungang Luo & Ganggang Zuo & Jiancang Xie, 2019. "Daily Runoff Forecasting Using a Hybrid Model Based on Variational Mode Decomposition and Deep Neural Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(4), pages 1571-1590, March.
    19. Jaramillo, O.A. & Borja, M.A., 2004. "Wind speed analysis in La Ventosa, Mexico: a bimodal probability distribution case," Renewable Energy, Elsevier, vol. 29(10), pages 1613-1630.
    20. Katinas, Vladislovas & Gecevicius, Giedrius & Marciukaitis, Mantas, 2018. "An investigation of wind power density distribution at location with low and high wind speeds using statistical model," Applied Energy, Elsevier, vol. 218(C), pages 442-451.

    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:52:y:2013:i:c:p:8-15. 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.