IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v35y2010i8p1870-1878.html
   My bibliography  Save this article

Optimal site matching of wind turbine generator: Case study of the Gulf of Suez region in Egypt

Author

Listed:
  • EL-Shimy, M.

Abstract

During the last few years, Egypt has emerged as the leader of wind power in the Middle East and Africa. In the Gulf of Suez region, a continuously expanding large-scale grid-connected wind farm is available at Zafarana site. The Gulf of EL-Zayt site in the Gulf of Suez region is now under extensive studies related to wind power projects such as feasibility and bird migration studies. Therefore, the Gulf of Suez region is considered in this paper for optimal site matching of wind turbine generator (WTG). This paper treats the problem of site matching of WTG through improved formulation of the capacity factor. Such factor is estimated based on Weibull PDF and an accurate model for the WTG output-power-curve. Ornithological, martial, and other limitations placed on WTG hub heights in the Gulf of Suez region in Egypt are taken into account. In addition, a MATLAB based program is created to implement the presented technique of optimal site matching of WTG. Based on turbine-performance-index (TPI) maximization, optimal output-power-curve and optimal commercial WTG are determined for each candidate site in the Gulf of Suez region. Long-term performance measurements at Zafarana wind farms in comparison with the results are used to validate the presented technique and the optimality of the results.

Suggested Citation

  • EL-Shimy, M., 2010. "Optimal site matching of wind turbine generator: Case study of the Gulf of Suez region in Egypt," Renewable Energy, Elsevier, vol. 35(8), pages 1870-1878.
    • Handle: RePEc:eee:renene:v:35:y:2010:i:8:p:1870-1878
    DOI: 10.1016/j.renene.2009.12.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014810900562X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2009.12.013?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. Jowder, Fawzi A.L., 2009. "Wind power analysis and site matching of wind turbine generators in Kingdom of Bahrain," Applied Energy, Elsevier, vol. 86(4), pages 538-545, April.
    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. Shafiqur Rehman & Salman A. Khan & Luai M. Alhems, 2020. "A Rule-Based Fuzzy Logic Methodology for Multi-Criteria Selection of Wind Turbines," Sustainability, MDPI, vol. 12(20), pages 1-21, October.
    2. Bilal, Boudy & Adjallah, Kondo Hloindo & Sava, Alexandre & Yetilmezsoy, Kaan & Ouassaid, Mohammed, 2023. "Wind turbine output power prediction and optimization based on a novel adaptive neuro-fuzzy inference system with the moving window," Energy, Elsevier, vol. 263(PE).
    3. Joselin Herbert, G.M. & Iniyan, S. & Amutha, D., 2014. "A review of technical issues on the development of wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 619-641.
    4. Arias-Rosales, Andrés & Osorio-Gómez, Gilberto, 2018. "Wind turbine selection method based on the statistical analysis of nominal specifications for estimating the cost of energy," Applied Energy, Elsevier, vol. 228(C), pages 980-998.
    5. Perkin, Samuel & Garrett, Deon & Jensson, Pall, 2015. "Optimal wind turbine selection methodology: A case-study for Búrfell, Iceland," Renewable Energy, Elsevier, vol. 75(C), pages 165-172.
    6. Qin, Yuxiao & Liu, Pei & Li, Zheng, 2024. "Enhancing accuracy of flexibility characterization in integrated energy system design: A variable temporal resolution optimization method," Energy, Elsevier, vol. 288(C).
    7. Shafiqur Rehman & Salman A. Khan, 2016. "Fuzzy Logic Based Multi-Criteria Wind Turbine Selection Strategy—A Case Study of Qassim, Saudi Arabia," Energies, MDPI, vol. 9(11), pages 1-26, October.
    8. Carrillo, C. & Obando Montaño, A.F. & Cidrás, J. & Díaz-Dorado, E., 2013. "Review of power curve modelling for wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 572-581.
    9. Wang, Jianzhou & Hu, Jianming & Ma, Kailiang, 2016. "Wind speed probability distribution estimation and wind energy assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 881-899.
    10. Dawn, Subhojit & Tiwari, Prashant Kumar & Goswami, Arup Kumar, 2019. "An approach for long term economic operations of competitive power market by optimal combined scheduling of wind turbines and FACTS controllers," Energy, Elsevier, vol. 181(C), pages 709-723.
    11. Xiao, Yulong & Zou, Chongzhe & Dong, Mingqi & Chi, Hetian & Yan, Yulin & Jiang, Shulan, 2024. "Feasibility study: Economic and technical analysis of optimal configuration and operation of a hybrid CSP/PV/wind power cogeneration system with energy storage," Renewable Energy, Elsevier, vol. 225(C).
    12. Jun, Dong & Tian-tian, Feng & Yi-sheng, Yang & Yu, Ma, 2014. "Macro-site selection of wind/solar hybrid power station based on ELECTRE-II," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 194-204.
    13. Giallanza, A. & Porretto, M. & Cannizzaro, L. & Marannano, G., 2017. "Analysis of the maximization of wind turbine energy yield using a continuously variable transmission system," Renewable Energy, Elsevier, vol. 102(PB), pages 481-486.
    14. Esmaieli, M. & Ahmadian, M., 2018. "The effect of research and development incentive on wind power investment, a system dynamics approach," Renewable Energy, Elsevier, vol. 126(C), pages 765-773.
    15. 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.
    16. Dawn, Subhojit & Tiwari, Prashant Kumar & Goswami, Arup Kumar, 2017. "An approach for efficient assessment of the performance of double auction competitive power market under variable imbalance cost due to high uncertain wind penetration," Renewable Energy, Elsevier, vol. 108(C), pages 230-243.
    17. Belabes, B. & Youcefi, A. & Guerri, O. & Djamai, M. & Kaabeche, A., 2015. "Evaluation of wind energy potential and estimation of cost using wind energy turbines for electricity generation in north of Algeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1245-1255.
    18. Qin, Yuxiao & Liu, Pei & Li, Zheng, 2022. "Multi-timescale hierarchical scheduling of an integrated energy system considering system inertia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    19. 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.
    20. A. G. Olabi & Tabbi Wilberforce & Khaled Elsaid & Tareq Salameh & Enas Taha Sayed & Khaled Saleh Husain & Mohammad Ali Abdelkareem, 2021. "Selection Guidelines for Wind Energy Technologies," Energies, MDPI, vol. 14(11), pages 1-34, June.

    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. Ohunakin, Olayinka S., 2011. "Wind resources in North-East geopolitical zone, Nigeria: An assessment of the monthly and seasonal characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1977-1987, May.
    2. Chang, Tian-Pau & Ko, Hong-Hsi & Liu, Feng-Jiao & Chen, Pai-Hsun & Chang, Ying-Pin & Liang, Ying-Hsin & Jang, Horng-Yuan & Lin, Tsung-Chi & Chen, Yi-Hwa, 2012. "Fractal dimension of wind speed time series," Applied Energy, Elsevier, vol. 93(C), pages 742-749.
    3. Liu, Feng Jiao & Chang, Tian Pau, 2011. "Validity analysis of maximum entropy distribution based on different moment constraints for wind energy assessment," Energy, Elsevier, vol. 36(3), pages 1820-1826.
    4. 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.
    5. Akdağ, Seyit Ahmet & Güler, Önder, 2018. "Alternative Moment Method for wind energy potential and turbine energy output estimation," Renewable Energy, Elsevier, vol. 120(C), pages 69-77.
    6. 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.
    7. 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.
    8. Gugliani, G.K. & Sarkar, A. & Ley, C. & Mandal, S., 2018. "New methods to assess wind resources in terms of wind speed, load, power and direction," Renewable Energy, Elsevier, vol. 129(PA), pages 168-182.
    9. Gökçek, Murat & Genç, Mustafa Serdar, 2009. "Evaluation of electricity generation and energy cost of wind energy conversion systems (WECSs) in Central Turkey," Applied Energy, Elsevier, vol. 86(12), pages 2731-2739, December.
    10. Dai, Juchuan & Yang, Xin & Hu, Wei & Wen, Li & Tan, Yayi, 2018. "Effect investigation of yaw on wind turbine performance based on SCADA data," Energy, Elsevier, vol. 149(C), pages 684-696.
    11. Giallanza, A. & Porretto, M. & Cannizzaro, L. & Marannano, G., 2017. "Analysis of the maximization of wind turbine energy yield using a continuously variable transmission system," Renewable Energy, Elsevier, vol. 102(PB), pages 481-486.
    12. Ohunakin, S. Olayinka & Ojolo, S. Joshua & Ogunsina, S. Babatunde & Dinrifo, R. Rufus, 2012. "Analysis of cost estimation and wind energy evaluation using wind energy conversion systems (WECS) for electricity generation in six selected high altitude locations in Nigeria," Energy Policy, Elsevier, vol. 48(C), pages 594-600.
    13. Jin, Jingliang & Zhou, Dequn & Zhou, Peng & Miao, Zhuang, 2014. "Environmental/economic power dispatch with wind power," Renewable Energy, Elsevier, vol. 71(C), pages 234-242.
    14. Carranza, O. & Figueres, E. & Garcerá, G. & Gonzalez-Medina, R., 2013. "Analysis of the control structure of wind energy generation systems based on a permanent magnet synchronous generator," Applied Energy, Elsevier, vol. 103(C), pages 522-538.
    15. Dong, Yao & Wang, Jianzhou & Jiang, He & Shi, Xiaomeng, 2013. "Intelligent optimized wind resource assessment and wind turbines selection in Huitengxile of Inner Mongolia, China," Applied Energy, Elsevier, vol. 109(C), pages 239-253.
    16. Shafiqur Rehman & Salman A. Khan, 2016. "Fuzzy Logic Based Multi-Criteria Wind Turbine Selection Strategy—A Case Study of Qassim, Saudi Arabia," Energies, MDPI, vol. 9(11), pages 1-26, October.
    17. Chang, Tian Pau, 2011. "Estimation of wind energy potential using different probability density functions," Applied Energy, Elsevier, vol. 88(5), pages 1848-1856, May.
    18. Chang, Tian Pau, 2011. "Performance comparison of six numerical methods in estimating Weibull parameters for wind energy application," Applied Energy, Elsevier, vol. 88(1), pages 272-282, January.
    19. Mei, Jie & Chen, Chen & Wang, Jianhui & Kirtley, James L., 2019. "Coalitional game theory based local power exchange algorithm for networked microgrids," Applied Energy, Elsevier, vol. 239(C), pages 133-141.
    20. Arias-Rosales, Andrés & Osorio-Gómez, Gilberto, 2018. "Wind turbine selection method based on the statistical analysis of nominal specifications for estimating the cost of energy," Applied Energy, Elsevier, vol. 228(C), pages 980-998.

    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:35:y:2010:i:8:p:1870-1878. 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.