An approach to simulate wind fields around an urban environment for wind energy application

This work proposes an approach to simulate wind flow fields around an urban environment with the aim of evaluating the potential impact of buildings on the general wind patterns and power production using the current generation of commercial wind turbines. The simulation process was performed with the aid of accessible computational tools that can potentially render the proposed procedure applicable in other cases of interest. The roughness of the urban environment was defined as the association of roughness map, topography, and an alternative process for obtaining the volumetry of buildings. A case study was conducted in a region located at the district of Boa Viagem (Recife-PE) for assessing the applicability of the approach. Scenarios were designed in order to simulate wind flow patterns and pre-identify sites that have suitable wind energy potential for electric power production by investigating the combination of wind speed magnitude and turbulence intensity. From the results obtained, it was possible to identify zones of potential wind sources that are not detected in classical wind atlas probably due to the influence of the built environment on local wind flow patterns.

[1]  Lin Lu,et al.  Investigation on the feasibility and enhancement methods of wind power utilization in high-rise buildings of Hong Kong , 2009 .

[2]  S. Mertens,et al.  The Energy Yield of Roof Mounted Wind Turbines , 2003 .

[3]  Josiane Zerubia,et al.  Automatic Building Extraction from DEMs using an Object Approach and Application to the 3D-city Modeling , 2008 .

[4]  Hrvoje Kozmar,et al.  Wind-tunnel simulations of the suburban ABL and comparison with international standards , 2011 .

[5]  Steven J. Burian,et al.  National Urban Database and Access Portal Tool , 2009 .

[6]  Johnny C. L. Chan,et al.  Numerical simulation of the urban boundary layer over the complex terrain of Hong Kong , 2005 .

[7]  C. Ratti,et al.  Analysis of 3-D Urban Databases with Respect to Pollution Dispersion for a Number of European and American Cities , 2001 .

[8]  Kit Ming Lam,et al.  Recent progress in CFD modelling of wind field and pollutant transport in street canyons , 2006 .

[9]  Alex Maurício Araújo,et al.  Simulación de la Producción de Energía Eléctrica con Aerogeneradores de Pequeño Tamaño , 2009 .

[10]  Emma Dayan,et al.  Wind energy in buildings , 2006 .

[11]  Nicholas P. Cheremisinoff Handbook of Air Pollution Prevention and Control , 2002 .

[12]  Zbigniew Lubosny Wind Turbine Generator Systems , 2003 .

[13]  R. Britter,et al.  FLOW AND DISPERSION IN URBAN AREAS , 2003 .

[14]  Daichin,et al.  Evaluation of wind environment around a residential complex using a PIV velocity field measurement technique , 2009 .

[15]  D. Byun,et al.  High-resolution dataset of urban canopy parameters for Houston, Texas , 2004 .

[16]  R. Simons,et al.  Upstream Turbulence Effect on Pollution Dispersion , 2005 .

[17]  G.A.M. van Kuik,et al.  Wind Energy in the Built Environment , 2005 .

[18]  A. M. G. Lopes,et al.  WindStation--a software for the simulation of atmospheric flows over complex topography , 2003, Environ. Model. Softw..

[19]  C. Donald Ahrens,et al.  Essentials of Meteorology: An Invitation to the Atmosphere , 1993 .

[20]  H. Taha Urban Surface Modification as a Potential Ozone Air-quality Improvement Strategy in California: A Mesoscale Modelling Study , 2008 .

[21]  Ronald M. Cionco,et al.  High resolution urban morphology data for urban wind flow modeling , 1998 .

[22]  Mats Sandberg,et al.  Effect of urban morphology on wind condition in idealized city models , 2009 .

[23]  H. S. Osborne,et al.  The international electrotechnical commission , 1953, Electrical Engineering.

[24]  S. Grossman-Clarke,et al.  Urban Fluid Mechanics: Air Circulation and Contaminant Dispersion in Cities , 2001 .