The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIV-4/W1-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-4/W1-2020, 71–74, 2020
https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-71-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-4/W1-2020, 71–74, 2020
https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-71-2020

  03 Sep 2020

03 Sep 2020

VISUAL ANALYTICS WEB PLATFORM FOR DETECTING HIGH WIND ENERGY POTENTIAL IN URBAN ENVIRONMENTS BY EMPLOYING OGC STANDARDS

A. Koukofikis and V. Coors A. Koukofikis and V. Coors
  • University of Applied Sciences Stuttgart, Schellingstraße 24, 70174 Stuttgart, Germany

Keywords: Visual analytics, CFD, Wind energy, OGC, 3DPS, Web Visualization, WebGL

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.