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Wind Turbine Power Output Assessment in Built Environment

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DOI: 10.4236/sgre.2013.41001    4,724 Downloads   8,678 Views   Citations


In future planning of the city, it is very important to consider the proper intelligent integration of renewable energy sources into the built environment for developing smart cities. Analysis of the wind velocity profile in the built environment is very important for finding out the energy content in the wind and also to analyze the performance of wind turbines in the built environment. In this study, building topologies of smart city are investigated for finding out the wind velocity profile and the wind turbine power output in the built environment. The wind velocity distribution across buildings is numerically simulated by using commercial CFD (Computational Fluid Dynamics) software CFD-ACE+. Wind turbine power output is estimated by using the power curve of real commercial wind turbine and wind velocity distribution simulated by CFD software. It has been observed that the wind is accelerated in the intervening space between the buildings irrespective of distance between the walls of adjacent buildings under the condition, which are investigated in this study. The wind is accelerated across buildings, and is reduced rapidly after blowing through buildings, and recovered gradually. Since the wind is accelerated in the intervening space between buildings and reduced in the area at the back of buildings, a wind turbine should be installed at the area at the back of the buildings and located on center between the buildings. In this work, it is observed that size dimensions and layout of the building are effective in realizing a smart city for utilizing renewable energy such as wind turbine in the built environment.

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A. Nishimura, T. Ito, J. Murata, T. Ando, Y. Kamada, M. Hirota and M. Kolhe, "Wind Turbine Power Output Assessment in Built Environment," Smart Grid and Renewable Energy, Vol. 4 No. 1, 2013, pp. 1-10. doi: 10.4236/sgre.2013.41001.


[1] M. Liserre, T. Sauter and J. Y. Hung, “Future Energy Systems,” IEEE Industrial Electronics Magazine, 2010, pp. 18-37.
[2] L. F. Ochoa and G. P. Harrison, “Minimizing Energy Losses: Optimal Accommodation and Smart Operation of Renewable Distributed Generation,” IEEE Transactions on Power System, Vol. 26, No. 1, 2011, pp. 198-205. doi:10.1109/TPWRS.2010.2049036
[3] M. Kolhe, “Smart Grid: Charting a New Energy Future: Research, Development and Demonstration,” The Electricity Journal, Vol. 25, No. 2, 20112, pp. 88-93.
[4] M. Wissner, “The Smart Grid—A Saucerful of Secrets?” Applied Energy, Vol. 88, No. 7, 2011, pp. 2509-2518. doi:10.1016/j.apenergy.2011.01.042
[5] M. Kolhe, K. Agbossou, J. Hamelin and T. K. Bose, “Analytical Model for Predicting the Performance of Photovoltaic Array Coupled with a Wind Turbine in a Stand-Alone Renewable Energy System Based on Hydrogen,” Renewable Energy, Vol. 28, No. 5, 2003, pp. 727-742. doi:10.1016/S0960-1481(02)00107-6
[6] T. Vijayapriya and D. P. Kothari, “Smart Grid: An OverView,” Smart Grid and Renewable Energy, Vol. 2, No. 2, 2011, pp. 305-311. doi:10.4236/sgre.2011.24035
[7] “Ministry of Economy, Trade and Industry in Japan,” 2012.
[8] “Smart Grid Demonstration Project in Sino-Singapore Tianjin Eco-City,”
[9] C. Y. Wen, A. S. Yang, L. Y. Tseng and W. T. Tsai, “Flow Analysis of a Ribbed Helix Lip Seal with Consideration of Fluid-Structure Interaction,” Computers & Fluids, Vol. 40, No. 1, 2011, pp. 324-332. doi:10.1016/j.compfluid.2010.10.005
[10] H. H. Caicedo, M. Hernandez, C. P. Fall and D. T. Eddington, “Multiphysics Simulation of a Microfluidic Perfusion Chamber for Brain Slice Physiology,” Biomed Microdevices, Vol. 12, No. 5, 2010, pp. 761-767. doi:10.1007/s10544-010-9430-5
[11] C. Xing, M. J. Braun and H. Li, “Damping and Added Mass Coefficients for a Squeeze Film Damper Using the Full 3-D Navier Stokes Equation,” Tribology International, Vol. 43, No. 3, 2010, pp. 654-666.
[12] G. Demirkaya, C. W. Soh and O. J. Ilegbusi, “Direct Solution of Navier-Stokes Equations by Radial Basis Functions,” Applied Mathematical Modeling, Vol. 32, No. 9, 2008, pp. 1848-1858.
[13] T. Glatzel, C. Litterst, C. Cupelli, T. Lindrmann, C. Moosmann, R. Niekrawietz, W. Streule, R. Zengerle and P. Koltay, “Computational Fluid Dynamics (CFD) Software Tools for Microfluidic Applications—A Case Study,” Computers & Fluids, Vol. 37, No. 3, 2008, pp. 218-235.
[14] M. A. Kabir, M. M. K. Khan and M. G. Rasul, “Flow of a Mixed Solution in a Channel with Obstruction at the Entry: Experimental and Numerical Investigation and Comparison with Other Fluids,” Experimental Thermal and Fluid Science, Vol. 30, No. 6, 2006, pp. 497-512.
[15] ESI, “CFD-ACE+ Modules Manual Part 1,” ESI CFD Inc., Huntsville, 2009.
[16] ESI, “CFD-ACE+ Modules Manual Part 2,” ESI CFD Inc., Huntsville, 2009.
[17] K. Nishimura, R. Yasuda and S. Ito, “An Experimental and Numerical Study of Concentration Prediction around a Building: Part II Numerical Simulation by Model,” Journal of Japanese Society of Atmosphere Environment, Vol. 34, No. 2, 1999, pp. 103-122.
[18] “Aeolos Wind Turbine Home Page,” 2012.
[19] Ministry of Internal Affairs and Communications, “Dwelling by Area of Floor Space (6 Groups) and Tenure of Dwelling (2 Groups)—Japan, 3 Major Metropolitan Areas, Prefectures and Major Cities (1998-2008),” 2012.

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