Abstract
Abstract. We propose a server-client web architecture identifying areas with high wind energy potential by employing 3D technologies and OGC standards. The assessment of a whole city or sub-regions will be supported by integrating Computational Fluid Dynamics (CFD) with historical wind sensor readings. The results, in 3D space, of such analysis could be used for locating installation points of small-scale vertical axis wind turbines in an urban area.
Highlights
The urban fabric could be a prosperous environment for wind energy harnessing
A web based client-server architecture can be used to assess the wind energy potential in an urban environment by integrating static Computational Fluid Dynamics (CFD) simulations, wind historical data, Web 3D technologies and OGC Standards which would allow researchers, entrepreneurs and civilians to estimate the yearly yield of such investment
Assuming that the city model geometry has not been altered by the time of the CFD simulations were conducted, when an event in the historical wind data is found with low tolerance in the wind direction and speed, we assume the same boundary conditions as the CFD simulations and the same numerical results (Figure 1)
Summary
The urban fabric could be a prosperous environment for wind energy harnessing. Simulation processes, Computational Fluid Dynamics (CFD), play a fundamental role in numerically estimating wind velocity and direction in a segregated/sampled 3D space. In an urban context a CDF simulation could have a high error tolerance, mainly for performance improvement, the calculation of a dynamic velocity field in the course of a year is greatly demanding. The toolsets and methodologies for performing such simulations are not accessible for non-experts with interest of assessing the energy yield of a small scale wind turbine installation on a building. The latest revision of the HTML language enables hypertext to render interactive/high performance 2D/3D graphics utilizing the WebGl API without the need for a plugin
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