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Assessment of large-scale wind energy potential in the emerging city of Duqm (Oman)

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  • Al-Yahyai, Sultan
  • Charabi, Yassine

Abstract

Duqm is an emerging port city for both industrial and truism applications. Energizing such city requires carful utilization of all available resources. Due to its geographical location, Duqm can harness the wind energy through developing grid connected wind farm. Therefore, a proper wind energy assessment using high temporal and spatial data is required before any financial investment. This paper investigates the assessment of a large-scale wind energy potential in the emerging city of Duqm (Oman). The initial wind assessment is conducted by the mean of dynamical downscaling Ensemble Numerical Weather Prediction Models. Multi-criteria decision support system was used to analysis the land suitability for wind energy applications. 25MW wind farm is also simulated using WAsP to estimate the annual energy production and the wake losses.

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  • Al-Yahyai, Sultan & Charabi, Yassine, 2015. "Assessment of large-scale wind energy potential in the emerging city of Duqm (Oman)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 438-447.
    • Handle: RePEc:eee:rensus:v:47:y:2015:i:c:p:438-447
    DOI: 10.1016/j.rser.2015.03.024
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    References listed on IDEAS

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    1. Charabi, Yassine & Gastli, Adel, 2010. "GIS assessment of large CSP plant in Duqum, Oman," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 835-841, February.
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    8. Charabi, Yassine & Gastli, Adel, 2012. "Spatio-temporal assessment of dust risk maps for solar energy systems using proxy data," Renewable Energy, Elsevier, vol. 44(C), pages 23-31.
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    2. Anwarzai, Mohammad Abed & Nagasaka, Ken, 2017. "Utility-scale implementable potential of wind and solar energies for Afghanistan using GIS multi-criteria decision analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 150-160.
    3. 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.
    4. Yassine Charabi & Sabah Abdul-Wahab & Abdul Majeed Al-Mahruqi & Selma Osman & Isra Osman, 2022. "The potential estimation and cost analysis of wind energy production in Oman," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 5917-5937, April.
    5. Amann, Juergen & Cantore, Nicola & Calí, Massimiliano & Todorov, Valentin & Cheng, Charles Fang Chin, 2021. "Switching it up: The effect of energy price reforms in Oman," World Development, Elsevier, vol. 142(C).
    6. Emilio Porcu & Jonas Rysgaard & Valerie Eveloy, 2020. "Discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources," Environmetrics, John Wiley & Sons, Ltd., vol. 31(7), November.
    7. 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.

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