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Development of Aeolian map of China using mesoscale atmospheric modelling

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  • Caralis, George
  • Gao, Zhiqiu
  • Yang, Peijin
  • Huang, Meng
  • Zervos, Arthouros
  • Rados, Kostas

Abstract

A mesoscale atmospheric modelling is applied in China aiming at the development and representation of Aeolian maps. The understanding of wind resource characteristics in the country with the highest wind installed capacity and the largest prospects for further wind energy development is an essential step for the further analysis of important issues related with large scale wind integration. In this connection, the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS) developed at the US Naval Research Laboratory was used. Systematic application of COAMPS, with appropriate adjustment of numerical parameters for one year was carried out for China providing simultaneous information of wind statistics over every potential area for wind farm development. Analysis and processing of this information lead to the creation of mesoscale Aeolian maps over the country. Additionally, analytical wind data time-series have been reproduced providing simultaneous information of wind speed for one year. These data are essential inputs for computational tools to analyse large scale wind integration issues, simulate the whole power system of China or one of the subsystems, estimate wind energy curtailment and wind capacity credit, analyse storage solutions like hydro pumped storage and smart grids.

Suggested Citation

  • Caralis, George & Gao, Zhiqiu & Yang, Peijin & Huang, Meng & Zervos, Arthouros & Rados, Kostas, 2015. "Development of Aeolian map of China using mesoscale atmospheric modelling," Renewable Energy, Elsevier, vol. 74(C), pages 60-69.
    • Handle: RePEc:eee:renene:v:74:y:2015:i:c:p:60-69
    DOI: 10.1016/j.renene.2014.07.055
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    References listed on IDEAS

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    1. Al-Yahyai, Sultan & Charabi, Yassine & Gastli, Adel, 2010. "Review of the use of Numerical Weather Prediction (NWP) Models for wind energy assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3192-3198, December.
    2. Caralis, G. & Papantonis, D. & Zervos, A., 2012. "The role of pumped storage systems towards the large scale wind integration in the Greek power supply system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2558-2565.
    3. Kotroni, V. & Lagouvardos, K. & Lykoudis, S., 2014. "High-resolution model-based wind atlas for Greece," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 479-489.
    4. Gualtieri, Giovanni & Secci, Sauro, 2011. "Wind shear coefficients, roughness length and energy yield over coastal locations in Southern Italy," Renewable Energy, Elsevier, vol. 36(3), pages 1081-1094.
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    1. 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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