IDEAS home Printed from https://ideas.repec.org/a/gam/jcltec/v4y2022i1p2-34d720937.html
   My bibliography  Save this article

Techno-Economic Analysis and Modelling of the Feasibility of Wind Energy in Kuwait

Author

Listed:
  • Ali M. H. A. Khajah

    (School of Engineering, London South Bank University, London SE1 0AA, UK)

  • Simon P. Philbin

    (School of Engineering, London South Bank University, London SE1 0AA, UK)

Abstract

There continues to be significant attention and investment in wind power generation, which can supply a high percentage of the global demand for renewable energy if harvested efficiently. The research study is based on a techno-economic analysis of the feasibility of implementing wind power generation in Kuwait for 105 MW of electricity generation based on 50 wind turbines, which is a major requirement for clean energy. The study focused on three main areas of analysis and numerical modelling using the RETScreen software tool. The first area involved evaluating the performance and efficacy of generating wind power by collecting, analysing, and modelling data on observed wind levels, wind turbine operation, and wind power generation. The second area comprised an environmental impact report to assess the environmental benefits of implementing wind power. The third area involved economic analysis of installing wind power in Kuwait. The analysis was undertaken to determine the energy recovery time for wind energy and determine the mitigation of global warming and pollution levels, the decrease of toxic emissions, and any cost savings from implementing clean energy systems in Kuwait. Additionally, sensitivity analysis was undertaken to determine the impact of certain variables in the modelling process. The results were used to estimate that the energy price would be $0.053 per kWh for a power generation capacity of 105 MWh based on an initial cost of US $168 million and O&M of $5 million for 214,000 MWh of electricity exported to the grid. Moreover, the wind turbine farm will potentially avoid the emission of approximately 1.8 million t of carbon dioxide per year, thereby saving about $9 million over 20 years spent through installing carbon capture systems for conventional power plants. The wind farm is estimated to have a payback time of 9.1 years.

Suggested Citation

  • Ali M. H. A. Khajah & Simon P. Philbin, 2022. "Techno-Economic Analysis and Modelling of the Feasibility of Wind Energy in Kuwait," Clean Technol., MDPI, vol. 4(1), pages 1-21, January.
    • Handle: RePEc:gam:jcltec:v:4:y:2022:i:1:p:2-34:d:720937
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2571-8797/4/1/2/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2571-8797/4/1/2/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Diogo Menezes & Mateus Mendes & Jorge Alexandre Almeida & Torres Farinha, 2020. "Wind Farm and Resource Datasets: A Comprehensive Survey and Overview," Energies, MDPI, vol. 13(18), pages 1-24, September.
    2. Sultan, Ali J. & Hughes, Kevin J. & Ingham, Derek B. & Ma, Lin & Pourkashanian, Mohamed, 2020. "Techno-economic competitiveness of 50 MW concentrating solar power plants for electricity generation under Kuwait climatic conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    3. Mouraviev, Nikolai, 2021. "Renewable energy in Kazakhstan: Challenges to policy and governance," Energy Policy, Elsevier, vol. 149(C).
    4. Leili Soltanisehat & Reza Alizadeh & Nader Mehregan, 2019. "Research and Development Investment and Productivity Growth in Firms with Different Levels of Technology," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 23(4), pages 795-818, Autumn.
    5. Peter Bachant & Martin Wosnik, 2016. "Effects of Reynolds Number on the Energy Conversion and Near-Wake Dynamics of a High Solidity Vertical-Axis Cross-Flow Turbine," Energies, MDPI, vol. 9(2), pages 1-18, January.
    6. Du, Weikang & Zhao, Yongsheng & He, Yanping & Liu, Yadong, 2016. "Design, analysis and test of a model turbine blade for a wave basin test of floating wind turbines," Renewable Energy, Elsevier, vol. 97(C), pages 414-421.
    7. Mehran Dehghan & Carlos F. Pfeiffer & Elyas Rakhshani & Reza Bakhshi-Jafarabadi, 2021. "A Review on Techno-Economic Assessment of Solar Water Heating Systems in the Middle East," Energies, MDPI, vol. 14(16), pages 1-28, August.
    8. Jianhua Xu & Zhonghua Han & Xiaochao Yan & Wenping Song, 2019. "Design Optimization of a Multi-Megawatt Wind Turbine Blade with the NPU-MWA Airfoil Family," Energies, MDPI, vol. 12(17), pages 1-24, August.
    9. Alizadeh, Reza & Lund, Peter D. & Soltanisehat, Leili, 2020. "Outlook on biofuels in future studies: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    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. Han Peng & Songyin Li & Linjian Shangguan & Yisa Fan & Hai Zhang, 2023. "Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research," Sustainability, MDPI, vol. 15(10), pages 1-35, May.

    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. Suzer, Ahmet Esat & Atasoy, Vehbi Emrah & Ekici, Selcuk, 2021. "Developing a holistic simulation approach for parametric techno-economic analysis of wind energy," Energy Policy, Elsevier, vol. 149(C).
    2. Alizadeh, Reza & Soltanisehat, Leili & Lund, Peter D. & Zamanisabzi, Hamed, 2020. "Improving renewable energy policy planning and decision-making through a hybrid MCDM method," Energy Policy, Elsevier, vol. 137(C).
    3. Elena Vechkinzova & Yelena Petrenko & Yana S. Matkovskaya & Gaukhar Koshebayeva, 2021. "The Dilemma of Long-Term Development of the Electric Power Industry in Kazakhstan," Energies, MDPI, vol. 14(9), pages 1-21, April.
    4. Bonaiuto, M. & Mosca, O. & Milani, A. & Ariccio, S. & Dessi, F. & Fornara, F., 2024. "Beliefs about technological and contextual features drive biofuels’ social acceptance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    5. Ehab AlShamaileh & Iessa Sabbe Moosa & Heba Al-Fayyad & Bashar Lahlouh & Hussein A. Kazem & Qusay Abu-Afifeh & Bety S. Al-Saqarat & Muayad Esaifan & Imad Hamadneh, 2022. "Performance Comparison and Light Reflectance of Al, Cu, and Fe Metals in Direct Contact Flat Solar Heating Systems," Energies, MDPI, vol. 15(23), pages 1-15, November.
    6. Piotr Kułyk & Łukasz Augustowski, 2021. "Economic Profitability of a Hybrid Approach to Powering Residual Households from Natural Sources in Two Wind Zones of the Lubuskie Voivodeship in Poland," Energies, MDPI, vol. 14(21), pages 1-15, October.
    7. Wang, Xinbao & Cai, Chang & Cai, Shang-Gui & Wang, Tengyuan & Wang, Zekun & Song, Juanjuan & Rong, Xiaomin & Li, Qing'an, 2023. "A review of aerodynamic and wake characteristics of floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    8. Daniel Duda & Vitalii Yanovych & Volodymyr Tsymbalyuk & Václav Uruba, 2022. "Effect of Manufacturing Inaccuracies on the Wake Past Asymmetric Airfoil by PIV," Energies, MDPI, vol. 15(3), pages 1-27, February.
    9. Kaminski, Meghan & Simpson, Juliet & Loth, Eric & Fingersh, Lee Jay & Scholbrock, Andy & Johnson, Nick & Johnson, Kathryn & Pao, Lucy & Griffith, Todd, 2023. "Gravo-aeroelastically-scaled demonstrator field tests to represent blade response of a flexible extreme-scale downwind turbine," Renewable Energy, Elsevier, vol. 218(C).
    10. Jozami, Emiliano & Mele, Fernando D & Piastrellini, Roxana & Civit, Bárbara M & Feldman, Susana R, 2022. "Life cycle assessment of bioenergy from lignocellulosic herbaceous biomass: The case study of Spartina argentinensis," Energy, Elsevier, vol. 254(PA).
    11. Pritpal Singh & Gurdeep Singh & G. P. S. Sodhi, 2022. "Data envelopment analysis based optimization for improving net ecosystem carbon and energy budget in cotton (Gossypium hirsutum L.) cultivation: methods and a case study of north-western India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2079-2119, February.
    12. Ma, Ning & Lei, Hang & Han, Zhaolong & Zhou, Dai & Bao, Yan & Zhang, Kai & Zhou, Lei & Chen, Caiyong, 2018. "Airfoil optimization to improve power performance of a high-solidity vertical axis wind turbine at a moderate tip speed ratio," Energy, Elsevier, vol. 150(C), pages 236-252.
    13. Jiyong Lee & Mirko Musa & Chris Feist & Jinjin Gao & Lian Shen & Michele Guala, 2019. "Wake Characteristics and Power Performance of a Drag-Driven in-Bank Vertical Axis Hydrokinetic Turbine," Energies, MDPI, vol. 12(19), pages 1-20, September.
    14. Wang, Xinbao & Cai, Chang & Wu, Xianyou & Chen, Yewen & Wang, Tengyuan & Zhong, Xiaohui & Li, Qing'an, 2024. "Numerical validation of the dynamic aerodynamic similarity criterion for floating offshore wind turbines under equivalent pitch motions," Energy, Elsevier, vol. 294(C).
    15. Daniel Duda & Václav Uruba & Vitalii Yanovych, 2021. "Wake Width: Discussion of Several Methods How to Estimate It by Using Measured Experimental Data," Energies, MDPI, vol. 14(15), pages 1-19, August.
    16. Ephraim Bonah Agyekum & Tomiwa Sunday Adebayo & Festus Victor Bekun & Nallapaneni Manoj Kumar & Manoj Kumar Panjwani, 2021. "Effect of Two Different Heat Transfer Fluids on the Performance of Solar Tower CSP by Comparing Recompression Supercritical CO 2 and Rankine Power Cycles, China," Energies, MDPI, vol. 14(12), pages 1-19, June.
    17. Rojhat Ibrahim & Bálint Baranyai & Haval Abdulkareem & Tamás János Katona, 2023. "Energy Use and Indoor Environment Performance in Sustainably Designed Refugee Shelters: Three Incremental Phases," Sustainability, MDPI, vol. 15(8), pages 1-19, April.
    18. Wen, Binrong & Tian, Xinliang & Dong, Xingjian & Li, Zhanwei & Peng, Zhike & Zhang, Wenming & Wei, Kexiang, 2020. "Design approaches of performance-scaled rotor for wave basin model tests of floating wind turbines," Renewable Energy, Elsevier, vol. 148(C), pages 573-584.
    19. Xu, You-Lin & Peng, Yi-Xin & Zhan, Sheng, 2019. "Optimal blade pitch function and control device for high-solidity straight-bladed vertical axis wind turbines," Applied Energy, Elsevier, vol. 242(C), pages 1613-1625.
    20. Villeneuve, Thierry & Boudreau, Matthieu & Dumas, Guy, 2020. "Improving the efficiency and the wake recovery rate of vertical-axis turbines using detached end-plates," Renewable Energy, Elsevier, vol. 150(C), pages 31-45.

    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:jcltec:v:4:y:2022:i:1:p:2-34:d:720937. 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.