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Mathematical Modelling in Civil Engineering

The Journal of Technical University of Civil Engineering of Bucharest

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2066-6934
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Wind Data Analysis and Wind Flow Simulation Over Large Areas

Angel Terziev
  • Corresponding author
  • Lecturer, Assoc. Prof., PhD, Technical University of Sofia, Faculty of Power Engineering and power Machines, Bulgaria
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/ Ivan Antonov / Rositsa Velichkova
Published Online: 2014-04-12 | DOI: https://doi.org/10.2478/mmce-2014-0005

Abstract

Increasing the share of renewable energy sources is one of the core policies of the European Union. This is because of the fact that this energy is essential in reducing the greenhouse gas emissions and securing energy supplies. Currently, the share of wind energy from all renewable energy sources is relatively low. The choice of location for a certain wind farm installation strongly depends on the wind potential. Therefore the accurate assessment of wind potential is extremely important. In the present paper an analysis is made on the impact of significant possible parameters on the determination of wind energy potential for relatively large areas. In the analysis the type of measurements (short- and long-term on-site measurements), the type of instrumentation and the terrain roughness factor are considered. The study on the impact of turbulence on the wind flow distribution over complex terrain is presented, and it is based on the real on-site data collected by the meteorological tall towers installed in the northern part of Bulgaria. By means of CFD based software a wind map is developed for relatively large areas. Different turbulent models in numerical calculations were tested and recommendations for the usage of the specific models in flows modeling over complex terrains are presented. The role of each parameter in wind map development is made. Different approaches for determination of wind energy potential based on the preliminary developed wind map are presented.

Keywords : turbulence modeling; wind map; CFD modeling; wind data processing

References

  • [1] O’Sullivan, J. (2012). Modeling wind flow over complex terrain, Ph. D dissertation, University of Auckland,.Google Scholar

  • [2] O’Sullivan J., Pecnik R., Iaccarino G. (2010). Investigating turbulence in wind flow over complex terrain,Procceding of the summer programm, (pp. 129-)Google Scholar

  • [3] Eidsvik, K. J., (2005) A system for wind power estimation in mountainous terrain prediction of Askervein hilldata. Wind Energy 8, (2), (pp. 237-249)Google Scholar

  • [4] Loureiro, J., Monteiro A., Pinho F., Silva Freire A. (2009). The effect of roughness on separating flow over two-dimensional hills. Experiments in Fluids 46 (4), (pp. 577-596.)Web of ScienceGoogle Scholar

  • [5] Terziev A., Petrov P., Ivanov A. (2009). Study and analysis of the possibilities of using the referent wind measurement data in wind potential assessment, Proceeding of National Conference with International Participation, "Mechanisms, machine techniques, mechanical and energy technologies"., 26-28 June, Sliven 2009y., magazine "Mechanics of machines", (pp. 46-49), ISSN 0861-9727.Google Scholar

  • [6] Standard for the preparation of wind energy assessments. German wind energy association. Advisory board for wind resource. 2. (Edition 2005-02).Google Scholar

  • [7] Petrov P., Terziev A., Ivanov A. (2009). Types of meteorological masts and measuring equipment applied in the study of wind potential Proceeding of National Conference with International Participation, "Mechanisms, machine techniques, mechanical and energy technologies"., 26-28 June, Sliven 2009., magazine "Mechanics of machines", (pp. 42-45), ISSN 0861-9727.Google Scholar

  • [8] http://www.goldensoftware.com/products/didger/uses.shtmlGoogle Scholar

  • [9] http://dataforwind.com/extraction.phpGoogle Scholar

  • [10] Oliver M. A., Webster R., (1990). Kriging: a method of interpolation for geographical information systems, International Journal of Geographical Information Systems, Volume 4, Issue 3, (pp. 312-332).Google Scholar

  • [11] http://www.windpower.orgGoogle Scholar

  • [12] Scientific Project № ДО02-48/10.12.2008, Technical University of Varna, “Development of specilized scientific infrastructure of the study of the potential of solar and wind", Supported by the Bulgarian Ministry of Education.Google Scholar

  • [13] http://www.nrgsystems.comGoogle Scholar

  • [14] http://cr.middlebury.edu/es/wind_group/terrain.htmGoogle Scholar

  • [15]www.ansys.com, The simulations are performed in the Rousse University „Angel Kantchev” scientific center. Google Scholar

About the article

Published Online: 2014-04-12

Published in Print: 2014-03-01


Citation Information: Mathematical Modelling in Civil Engineering, Volume 10, Issue 1, Pages 38–45, ISSN (Online) 2066-6934, DOI: https://doi.org/10.2478/mmce-2014-0005.

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© by Angel Terziev. This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. BY-NC-ND 3.0

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