IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v30y2014icp790-795.html
   My bibliography  Save this article

Wind energy resource assessment of Izmit in the West Black Sea Coastal Region of Turkey

Author

Listed:
  • Kucukali, Serhat
  • Dinçkal, Çiğdem

Abstract

The wind energy potential of Izmit (41.19 N, 30.30 E), which is located in the West Black Sea Coastal Region of Turkey, is assessed with the statistical analysis of the gathered wind data at the 50-m height measurement mast covering the period of 06/2008-06/2009. The annual average wind speed is calculated as 6m/s and the prevailing wind direction is ENE (60°). The Weibull distribution parameters of shape and scale factor are found as 2.03 and 6.73m/s, respectively. The measured wind speed data are compared with the data of nearby meteorological stations and the results show that there is a considerable difference between the onsite measurements and the measurements of the meteorological stations. Moreover, a turbulence analysis is carried out and the turbulence intensity is negatively correlated with the normalized height from ground level with canopy height. The energy generation performances of three different wind turbines are evaluated by using the onsite wind speed measurements and the assessment shows that the capacity factor increase by a factor of two from 17% to 34% depending on the type of the turbine. Furthermore, an economic analysis is carried out for a 50MW wind energy project for the potential site and the proposed project benefit/cost ratio is calculated as 8.

Suggested Citation

  • Kucukali, Serhat & Dinçkal, Çiğdem, 2014. "Wind energy resource assessment of Izmit in the West Black Sea Coastal Region of Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 790-795.
    • Handle: RePEc:eee:rensus:v:30:y:2014:i:c:p:790-795
    DOI: 10.1016/j.rser.2013.11.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032113007673
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2013.11.018?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. Carta, J.A. & Ramírez, P. & Velázquez, S., 2009. "A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 933-955, June.
    2. Baris, Kemal & Kucukali, Serhat, 2012. "Availibility of renewable energy sources in Turkey: Current situation, potential, government policies and the EU perspective," Energy Policy, Elsevier, vol. 42(C), pages 377-391.
    3. Ucar, Aynur & Balo, Figen, 2010. "Assessment of wind power potential for turbine installation in coastal areas of Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(7), pages 1901-1912, September.
    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. Kim, Choong-Ki & Jang, Seonju & Kim, Tae Yun, 2018. "Site selection for offshore wind farms in the southwest coast of South Korea," Renewable Energy, Elsevier, vol. 120(C), pages 151-162.
    2. Valliyil Mohammed Aboobacker & Puthuveetil Razak Shanas & Subramanian Veerasingam & Ebrahim M. A. S. Al-Ansari & Fadhil N. Sadooni & Ponnumony Vethamony, 2021. "Long-Term Assessment of Onshore and Offshore Wind Energy Potentials of Qatar," Energies, MDPI, vol. 14(4), pages 1-21, February.
    3. Melikoglu, Mehmet, 2016. "The role of renewables and nuclear energy in Turkey׳s Vision 2023 energy targets: Economic and technical scrutiny," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1-12.
    4. Ilkiliç, Cumali & Aydin, Hüseyin, 2015. "Wind power potential and usage in the coastal regions of Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 78-86.
    5. Jahangiri, Mehdi & Haghani, Ahmad & Mostafaeipour, Ali & Khosravi, Adel & Raeisi, Heidar Ali, 2019. "Assessment of solar-wind power plants in Afghanistan: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 99(C), pages 169-190.
    6. Allouhi, A. & Zamzoum, O. & Islam, M.R. & Saidur, R. & Kousksou, T. & Jamil, A. & Derouich, A., 2017. "Evaluation of wind energy potential in Morocco's coastal regions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 311-324.
    7. Zheng, Chong Wei & Li, Chong Yin & Pan, Jing & Liu, Ming Yang & Xia, Lin Lin, 2016. "An overview of global ocean wind energy resource evaluations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1240-1251.
    8. Ayodele, T.R. & Ogunjuyigbe, A.S.O., 2016. "Wind energy potential of Vesleskarvet and the feasibility of meeting the South African׳s SANAE IV energy demand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 226-234.
    9. Shoaib, Muhammad & Siddiqui, Imran & Amir, Yousaf Muhammad & Rehman, Saif Ur, 2017. "Evaluation of wind power potential in Baburband (Pakistan) using Weibull distribution function," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1343-1351.
    10. Kucukali, Serhat, 2016. "Risk scorecard concept in wind energy projects: An integrated approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 975-987.

    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. 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.
    2. Maatallah, Taher & Ghodhbane, Nahed & Ben Nasrallah, Sassi, 2016. "Assessment viability for hybrid energy system (PV/wind/diesel) with storage in the northernmost city in Africa, Bizerte, Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1639-1652.
    3. Omoyele, Olalekan & Hoffmann, Maximilian & Koivisto, Matti & Larrañeta, Miguel & Weinand, Jann Michael & Linßen, Jochen & Stolten, Detlef, 2024. "Increasing the resolution of solar and wind time series for energy system modeling: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    4. 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.
    5. 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.
    6. Tang, Jie & Brouste, Alexandre & Tsui, Kwok Leung, 2015. "Some improvements of wind speed Markov chain modeling," Renewable Energy, Elsevier, vol. 81(C), pages 52-56.
    7. Sajid Ali & Sang-Moon Lee & Choon-Man Jang, 2017. "Techno-Economic Assessment of Wind Energy Potential at Three Locations in South Korea Using Long-Term Measured Wind Data," Energies, MDPI, vol. 10(9), pages 1-24, September.
    8. Aruna Kanagaraj & Kumudini Devi Raguru Pandu, 2020. "Investigations of Various Market Models in a Deregulated Power Environment Using ACOPF," Energies, MDPI, vol. 13(9), pages 1-17, May.
    9. Botelho, D.F. & de Oliveira, L.W. & Dias, B.H. & Soares, T.A. & Moraes, C.A., 2022. "Integrated prosumers–DSO approach applied in peer-to-peer energy and reserve tradings considering network constraints," Applied Energy, Elsevier, vol. 317(C).
    10. Ozcan, Mustafa, 2018. "The role of renewables in increasing Turkey's self-sufficiency in electrical energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2629-2639.
    11. Han, Qinkai & Wang, Tianyang & Chu, Fulei, 2022. "Nonparametric copula modeling of wind speed-wind shear for the assessment of height-dependent wind energy in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    12. repec:eco:journ2:2017-04-06 is not listed on IDEAS
    13. Rodriguez-Hernandez, O. & Jaramillo, O.A. & Andaverde, J.A. & del Río, J.A., 2013. "Analysis about sampling, uncertainties and selection of a reliable probabilistic model of wind speed data used on resource assessment," Renewable Energy, Elsevier, vol. 50(C), pages 244-252.
    14. Abdul, Daud & Wenqi, Jiang & Tanveer, Arsalan, 2022. "Prioritization of renewable energy source for electricity generation through AHP-VIKOR integrated methodology," Renewable Energy, Elsevier, vol. 184(C), pages 1018-1032.
    15. Mostafaeipour, Ali, 2010. "Productivity and development issues of global wind turbine industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1048-1058, April.
    16. Aytav, Emre & Kocar, Günnur, 2013. "Biodiesel from the perspective of Turkey: Past, present and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 335-350.
    17. Ezbakhe, Fatine & Pérez-Foguet, Agustí, 2021. "Decision analysis for sustainable development: The case of renewable energy planning under uncertainty," European Journal of Operational Research, Elsevier, vol. 291(2), pages 601-613.
    18. Olgun Aydin & Bartłomiej Igliński & Krzysztof Krukowski & Marek Siemiński, 2022. "Analyzing Wind Energy Potential Using Efficient Global Optimization: A Case Study for the City Gdańsk in Poland," Energies, MDPI, vol. 15(9), pages 1-22, April.
    19. Wang, Jianzhou & Huang, Xiaojia & Li, Qiwei & Ma, Xuejiao, 2018. "Comparison of seven methods for determining the optimal statistical distribution parameters: A case study of wind energy assessment in the large-scale wind farms of China," Energy, Elsevier, vol. 164(C), pages 432-448.
    20. Satir, Mert & Murphy, Fionnuala & McDonnell, Kevin, 2018. "Feasibility study of an offshore wind farm in the Aegean Sea, Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2552-2562.
    21. Muhammad Fitra Zambak & Catra Indra Cahyadi & Jufri Helmi & Tengku Machdhalie Sofie & Suwarno Suwarno, 2023. "Evaluation and Analysis of Wind Speed with the Weibull and Rayleigh Distribution Models for Energy Potential Using Three Models," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 427-432, March.

    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:30:y:2014:i:c:p:790-795. 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.