IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i15p9352-d876226.html
   My bibliography  Save this article

Assessing the Potential of Wind Energy as Sustainable Energy Production in Ramallah, Palestine

Author

Listed:
  • Ramez Abdallah

    (Department of Mechanical Engineering, Faculty of Engineering, Near East University, Via Mersin 10 Turkey, Nicosia 99138, Cyprus
    Mechanical and Mechatronics Engineering Department, Faculty of Engineering & Information Technology, An-Najah National University, Nablus P.O. Box 7, Palestine)

  • Hüseyin Çamur

    (Department of Mechanical Engineering, Faculty of Engineering, Near East University, Via Mersin 10 Turkey, Nicosia 99138, Cyprus)

Abstract

The meteorological statistics collected from six-year wind speed data of Ramallah in Palestine are used to evaluate the potential of wind energy. The Weibull function is utilized to statistically assess the wind performance. An examination of the wind data using hourly wind directions and speeds throughout the six-year period between 2016 and 2021. The investigation revealed that the Weibull model provided a precise explanation of the actual wind data using the maximum likelihood estimator approach for scale and shape parameters. The most prevalent wind direction in Ramallah was west-northwest, accounting for 29.5% of all occurrences. Summer months have the maximum power density, reaching 129.9 at 50 m, 196.0 at 75 m, and 268.9 W/m 2 at 100 m. In the conclusion, yearly energy outputs, capacity factors, and economic potential for fifteen wind turbines ranging in size from 0.5 to 5 MW had been evaluated. It was revealed that the greatest capacity factor is about 36% and has a high economic potential at a cost of less than 0.07 $/kWh for an appropriate selection of wind turbine models. This baseline research will be utilized as a decision-making basis for the best and most economical wind energy investment in Palestine.

Suggested Citation

  • Ramez Abdallah & Hüseyin Çamur, 2022. "Assessing the Potential of Wind Energy as Sustainable Energy Production in Ramallah, Palestine," Sustainability, MDPI, vol. 14(15), pages 1-21, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9352-:d:876226
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/15/9352/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/15/9352/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fyrippis, Ioannis & Axaopoulos, Petros J. & Panayiotou, Gregoris, 2010. "Wind energy potential assessment in Naxos Island, Greece," Applied Energy, Elsevier, vol. 87(2), pages 577-586, February.
    2. Mohamad M. Alayat & Youssef Kassem & Hüseyin Çamur, 2018. "Assessment of Wind Energy Potential as a Power Generation Source: A Case Study of Eight Selected Locations in Northern Cyprus," Energies, MDPI, vol. 11(10), pages 1-22, October.
    3. Hasan, Afif, 1992. "Wind energy in West Bank and Gaza Strip," Renewable Energy, Elsevier, vol. 2(6), pages 637-639.
    4. Tamer Khatib & Amin Bazyan & Hiba Assi & Sura Malhis, 2021. "Palestine Energy Policy for Photovoltaic Generation: Current Status and What Should Be Next?," Sustainability, MDPI, vol. 13(5), pages 1-19, March.
    5. 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.
    6. Persaud, Shashi & Flynn, Damian & Fox, Brendan, 1999. "Potential for wind generation on the Guyana coastlands," Renewable Energy, Elsevier, vol. 18(2), pages 175-189.
    7. Masseran, Nurulkamal, 2015. "Evaluating wind power density models and their statistical properties," Energy, Elsevier, vol. 84(C), pages 533-541.
    8. Li, Yi & Wu, Xiao-Peng & Li, Qiu-Sheng & Tee, Kong Fah, 2018. "Assessment of onshore wind energy potential under different geographical climate conditions in China," Energy, Elsevier, vol. 152(C), pages 498-511.
    9. 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.
    10. Baseer, M.A. & Meyer, J.P. & Rehman, S. & Alam, Md. Mahbub, 2017. "Wind power characteristics of seven data collection sites in Jubail, Saudi Arabia using Weibull parameters," Renewable Energy, Elsevier, vol. 102(PA), pages 35-49.
    11. Fant, Charles & Adam Schlosser, C. & Strzepek, Kenneth, 2016. "The impact of climate change on wind and solar resources in southern Africa," Applied Energy, Elsevier, vol. 161(C), pages 556-564.
    12. Shabbaneh, Rateb & Hasan, Afif, 1997. "Wind energy potential in Palestine," Renewable Energy, Elsevier, vol. 11(4), pages 479-483.
    13. Solyali, Davut & Altunç, Mustafa & Tolun, Süleyman & Aslan, Zafer, 2016. "Wind resource assessment of Northern Cyprus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 180-187.
    14. Bataineh, Khaled M. & Dalalah, Doraid, 2013. "Assessment of wind energy potential for selected areas in Jordan," Renewable Energy, Elsevier, vol. 59(C), pages 75-81.
    15. Deep, Sneh & Sarkar, Arnab & Ghawat, Mayur & Rajak, Manoj Kumar, 2020. "Estimation of the wind energy potential for coastal locations in India using the Weibull model," Renewable Energy, Elsevier, vol. 161(C), pages 319-339.
    16. Imad H. Ibrik, 2019. "Techno-Economic Analysis of Wind Energy Resources Based on Real Measurements in West Bank Palestine," International Journal of Energy Economics and Policy, Econjournals, vol. 9(6), pages 26-32.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Birgir Freyr Ragnarsson & Gudmundur V. Oddsson & Runar Unnthorsson & Birgir Hrafnkelsson, 2015. "Levelized Cost of Energy Analysis of a Wind Power Generation System at Búrfell in Iceland," Energies, MDPI, vol. 8(9), pages 1-22, September.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Yahya Z. Alharthi & Mahbube K. Siddiki & Ghulam M. Chaudhry, 2018. "Resource Assessment and Techno-Economic Analysis of a Grid-Connected Solar PV-Wind Hybrid System for Different Locations in Saudi Arabia," Sustainability, MDPI, vol. 10(10), pages 1-22, October.
    8. Mohamad M. Alayat & Youssef Kassem & Hüseyin Çamur, 2018. "Assessment of Wind Energy Potential as a Power Generation Source: A Case Study of Eight Selected Locations in Northern Cyprus," Energies, MDPI, vol. 11(10), pages 1-22, October.
    9. Mehr Gul & Nengling Tai & Wentao Huang & Muhammad Haroon Nadeem & Moduo Yu, 2019. "Assessment of Wind Power Potential and Economic Analysis at Hyderabad in Pakistan: Powering to Local Communities Using Wind Power," Sustainability, MDPI, vol. 11(5), pages 1-23, March.
    10. Herrero-Novoa, Cristina & Pérez, Isidro A. & Sánchez, M. Luisa & García, Ma Ángeles & Pardo, Nuria & Fernández-Duque, Beatriz, 2017. "Wind speed description and power density in northern Spain," Energy, Elsevier, vol. 138(C), pages 967-976.
    11. Yip, Chak Man Andrew & Gunturu, Udaya Bhaskar & Stenchikov, Georgiy L., 2016. "Wind resource characterization in the Arabian Peninsula," Applied Energy, Elsevier, vol. 164(C), pages 826-836.
    12. Alrashidi, Musaed & Rahman, Saifur & Pipattanasomporn, Manisa, 2020. "Metaheuristic optimization algorithms to estimate statistical distribution parameters for characterizing wind speeds," Renewable Energy, Elsevier, vol. 149(C), pages 664-681.
    13. Lepore, Antonio & Palumbo, Biagio & Pievatolo, Antonio, 2020. "A Bayesian approach for site-specific wind rose prediction," Renewable Energy, Elsevier, vol. 150(C), pages 691-702.
    14. Mehr Gul & Nengling Tai & Wentao Huang & Muhammad Haroon Nadeem & Moduo Yu, 2020. "Evaluation of Wind Energy Potential Using an Optimum Approach based on Maximum Distance Metric," Sustainability, MDPI, vol. 12(5), pages 1-23, March.
    15. Hamza S. Abdalla Lagili & Aşkın Kiraz & Youssef Kassem & Hüseyin Gökçekuş, 2023. "Wind and Solar Energy for Sustainable Energy Production for Family Farms in Coastal Agricultural Regions of Libya Using Measured and Multiple Satellite Datasets," Energies, MDPI, vol. 16(18), pages 1-53, September.
    16. Saeed, Muhammad Abid & Ahmed, Zahoor & Zhang, Weidong, 2020. "Wind energy potential and economic analysis with a comparison of different methods for determining the optimal distribution parameters," Renewable Energy, Elsevier, vol. 161(C), pages 1092-1109.
    17. Youssef Kassem & Hüseyin Çamur & Ramzi Aateg Faraj Aateg, 2020. "Exploring Solar and Wind Energy as a Power Generation Source for Solving the Electricity Crisis in Libya," Energies, MDPI, vol. 13(14), pages 1-29, July.
    18. 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.
    19. Hamouda, Yasmina Abdellatif, 2012. "Wind energy in Egypt: Economic feasibility for Cairo," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3312-3319.
    20. 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.

    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:gam:jsusta:v:14:y:2022:i:15:p:9352-:d:876226. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.