COMPUTATIONAL FLUID DYNAMICS MODELING FOR WIND RESOURCE ASSESSMENT IN URBAN AREAS USING REMOTE SENSING

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Year:
2016
Type of Publication:
In Proceedings
Keywords:
CFD, LiDAR, Wind flow, Wind Power Density
Authors:
Ecal, David Jess; Villanueva, Jara Kaye; Ang, Ma. Rosario Concepcion O.; Inocencio, Loureal Camille V.; Rejuso, Ma. Victoria D.; Tolentino, Jerome T.
Abstract:
In the advent of growing interest in renewable energy, particularly wind energy, there has been an increase in research regarding wind flow and behavior across desired areas. Due to the intricacies of wind flow and the complexity of urban structures, Computational Fluid Dynamics (CFD) is used to simulate the wind flow. CFD simulation can be a valuable tool in assessing the wind conditions on candidate sites as it accounts for the physical properties of the fluid and the domain being simulated. This study aims to simulate a detailed model for an urban setting, in particular, the Academic Oval of the University of the Philippines Diliman. This will take into account the velocity streamline model and wind power density across the area using ANSYS Fluent. With the availability of Light Detection and Ranging (LiDAR) derived products such as Digital Elevation Models (DEM) and Digital Terrain Models (DTM) is used for the urban wind simulation. The entire schema consists of two integral parts: pre-processing using Geographic Information System (GIS) tools on remotely-sensed data and simulation using CFD on the LiDAR extracted building geometries. Using a high-resolution DSM and DTM data, building features are delineated by optimizing GIS tools. The three-dimensional model generated from this is essential to the CFD wind modelling. For the wind simulation, the k–ώ Shear Stress Transport (SST) is used as a turbulence model as it gives a relatively more accurate result. Steady State Condition is assumed. Results are verified and wind flow is simulated using a post processor. Results are visualized as velocity streamlines and its animation, velocity and pressure contour map, and wind power density map. Based on the results, places of high elevation have a higher wind power density. These places have low presence of turbulence as it is distant from obstructions. This simulation provides a basic visualization on wind behavior around an urban area and may be used as an assessment tool for wind resource evaluation. For this study, the use of high-resolution data images provides a more accurate identification of urban geometries due to high-detailed image information. Based from the simulation results, incorporating it with a numerical model for wind simulation and analysis proves to be a promising tool for an accurate wind flow modelling.
Full text: Ab 0148.pdf [Bibtex]
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