IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v15y2011i3p1545-1555.html
   My bibliography  Save this article

Evaluation of NWP performance for wind energy resource assessment in Oman

Author

Listed:
  • Charabi, Yassine
  • Al-Yahyai, Sultan
  • Gastli, Adel

Abstract

Few studies have been conducted to evaluate the wind energy potential in Oman. All of the published studies were based on ground measurements from weather stations, which provide wind data at 10Â m above the ground. The spatial and temporal coverage of the actual meteorological network in Oman presents some inadequacy with the need of the wind power industry in term of data sets. Currently, these assessments are done on a site-by-site basis, using existing station data and limited on-site monitoring data. A primary task under this research is to supplement existing wind-power potential assessments and develop an enhanced (spatially explicit) inventory of the wind resource across Oman. With the current available computational power, it is possible to use of high resolution numerical weather prediction (NWP) models to provide wind data usable for wind energy resource assessment. This paper evaluates the performance of NWP model data for wind energy application for Oman with a comparison to satellite data. Two models namely HRM and COSMO were used in this study. Suitable model resolution was first selected by evaluating the ability of the models to simulate weak local wind circulation (i.e. sea breeze), then one year of data was generated and compared to satellite data and ground measurements. The NWP data showed better accuracy over satellite data with comparison to the ground measurements. Wind power output was also calculated for selected sites with high potential.

Suggested Citation

  • Charabi, Yassine & Al-Yahyai, Sultan & Gastli, Adel, 2011. "Evaluation of NWP performance for wind energy resource assessment in Oman," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1545-1555, April.
    • Handle: RePEc:eee:rensus:v:15:y:2011:i:3:p:1545-1555
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364-0321(10)00424-7
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Gastli, Adel & Charabi, Yassine & Zekri, Slim, 2010. "GIS-based assessment of combined CSP electric power and seawater desalination plant for Duqum--Oman," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 821-827, February.
    2. AL-Yahyai, Sultan & Charabi, Yassine & Gastli, Adel & Al-Alawi, Saleh, 2010. "Assessment of wind energy potential locations in Oman using data from existing weather stations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(5), pages 1428-1436, June.
    3. 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.
    4. Gastli, Adel & Charabi, Yassine, 2010. "Solar electricity prospects in Oman using GIS-based solar radiation maps," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 790-797, February.
    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. Al-Hadhrami, L.M., 2013. "Comprehensive review of cooling and heating degree days characteristics over Kingdom of Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 305-314.
    2. 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.
    3. Xsitaaz T. Chadee & Naresh R. Seegobin & Ricardo M. Clarke, 2017. "Optimizing the Weather Research and Forecasting (WRF) Model for Mapping the Near-Surface Wind Resources over the Southernmost Caribbean Islands of Trinidad and Tobago," Energies, MDPI, vol. 10(7), pages 1-23, July.
    4. 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.
    5. Juan, Y.-H. & Wen, C.-Y. & Chen, W.-Y. & Yang, A.-S., 2021. "Numerical assessments of wind power potential and installation arrangements in realistic highly urbanized areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    6. Salvação, Nadia & Bentamy, Abderrahim & Guedes Soares, C., 2022. "Developing a new wind dataset by blending satellite data and WRF model wind predictions," Renewable Energy, Elsevier, vol. 198(C), pages 283-295.
    7. Al-Badi, A.H. & Malik, A. & Gastli, A., 2011. "Sustainable energy usage in Oman—Opportunities and barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3780-3788.
    8. Zhang, Yagang & Zhang, Jinghui & Yu, Leyi & Pan, Zhiya & Feng, Changyou & Sun, Yiqian & Wang, Fei, 2022. "A short-term wind energy hybrid optimal prediction system with denoising and novel error correction technique," Energy, Elsevier, vol. 254(PC).
    9. Omrani, Hiba & Drobinski, Philippe & Arsouze, Thomas & Bastin, Sophie & Lebeaupin-Brossier, Cindy & Mailler, Sylvain, 2017. "Spatial and temporal variability of wind energy resource and production over the North Western Mediterranean Sea: Sensitivity to air-sea interactions," Renewable Energy, Elsevier, vol. 101(C), pages 680-689.

    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. Al-Badi, A.H. & Malik, A. & Gastli, A., 2011. "Sustainable energy usage in Oman—Opportunities and barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3780-3788.
    2. 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.
    3. Martín-Pomares, Luis & Martínez, Diego & Polo, Jesús & Perez-Astudillo, Daniel & Bachour, Dunia & Sanfilippo, Antonio, 2017. "Analysis of the long-term solar potential for electricity generation in Qatar," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1231-1246.
    4. Yushchenko, Alisa & de Bono, Andrea & Chatenoux, Bruno & Kumar Patel, Martin & Ray, Nicolas, 2018. "GIS-based assessment of photovoltaic (PV) and concentrated solar power (CSP) generation potential in West Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2088-2103.
    5. Charabi, Yassine & Gastli, Adel, 2013. "Integration of temperature and dust effects in siting large PV power plant in hot arid area," Renewable Energy, Elsevier, vol. 57(C), pages 635-644.
    6. 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.
    7. Abdmouleh, Zeineb & Alammari, Rashid A.M. & Gastli, Adel, 2015. "Recommendations on renewable energy policies for the GCC countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1181-1191.
    8. Jangwon Suh & Jeffrey R. S. Brownson, 2016. "Solar Farm Suitability Using Geographic Information System Fuzzy Sets and Analytic Hierarchy Processes: Case Study of Ulleung Island, Korea," Energies, MDPI, vol. 9(8), pages 1-24, August.
    9. Hereher, Mohamed & El Kenawy, Ahmed M., 2020. "Exploring the potential of solar, tidal, and wind energy resources in Oman using an integrated climatic-socioeconomic approach," Renewable Energy, Elsevier, vol. 161(C), pages 662-675.
    10. Peterseim, Juergen H. & Herr, Alexander & Miller, Sarah & White, Stuart & O'Connell, Deborah A., 2014. "Concentrating solar power/alternative fuel hybrid plants: Annual electricity potential and ideal areas in Australia," Energy, Elsevier, vol. 68(C), pages 698-711.
    11. Chen, Fuying & Yang, Qing & Zheng, Niting & Wang, Yuxuan & Huang, Junling & Xing, Lu & Li, Jianlan & Feng, Shuanglei & Chen, Guoqian & Kleissl, Jan, 2022. "Assessment of concentrated solar power generation potential in China based on Geographic Information System (GIS)," Applied Energy, Elsevier, vol. 315(C).
    12. Azizkhani, Mostafa & Vakili, Abdullah & Noorollahi, Younes & Naseri, Farzin, 2017. "Potential survey of photovoltaic power plants using Analytical Hierarchy Process (AHP) method in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1198-1206.
    13. 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.
    14. Mahtta, Richa & Joshi, P.K. & Jindal, Alok Kumar, 2014. "Solar power potential mapping in India using remote sensing inputs and environmental parameters," Renewable Energy, Elsevier, vol. 71(C), pages 255-262.
    15. Hernández-Escobedo, Q. & Rodríguez-García, E. & Saldaña-Flores, R. & Fernández-García, A. & Manzano-Agugliaro, F., 2015. "Solar energy resource assessment in Mexican states along the Gulf of Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 216-238.
    16. Al-Yahyai, Sultan & Charabi, Yassine & Al-Badi, Abdullah & Gastli, Adel, 2012. "Nested ensemble NWP approach for wind energy assessment," Renewable Energy, Elsevier, vol. 37(1), pages 150-160.
    17. Pratibha Rani & Arunodaya Raj Mishra & Abbas Mardani & Fausto Cavallaro & Dalia Štreimikienė & Syed Abdul Rehman Khan, 2020. "Pythagorean Fuzzy SWARA–VIKOR Framework for Performance Evaluation of Solar Panel Selection," Sustainability, MDPI, vol. 12(10), pages 1-18, May.
    18. Al Hatmi, Y. & Tan, C.S. & Al Badi, A. & Charabi, Y., 2014. "Assessment of the consciousness levels on renewable energy resources in the Sultanate of Oman," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 1081-1089.
    19. Natarajan, Karthikeyan & Latva-Käyrä, Petri & Zyadin, Anas & Pelkonen, Paavo, 2016. "New methodological approach for biomass resource assessment in India using GIS application and land use/land cover (LULC) maps," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 256-268.
    20. Labordena, Mercè & Patt, Anthony & Bazilian, Morgan & Howells, Mark & Lilliestam, Johan, 2017. "Impact of political and economic barriers for concentrating solar power in Sub-Saharan Africa," Energy Policy, Elsevier, vol. 102(C), pages 52-72.

    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:15:y:2011:i:3:p:1545-1555. 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.