ER3DS - Emission Reduction in Smart Cities Using 3D Spatial Sensing and Analysis
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Renewable energy is a very important issue in the vision of smart city, especially applying the photovoltaic panels on the roof or façade of the building for the energy creation and carbon dioxide emissions reduction. Complex and dynamic shading effects on the building envelop can be accounted for using state-of-the-art 3D city models in order to calculate the hourly solar potential through the year in a dense urban area. Upscaling the computation to a city scale is, however, a demanding challenge as the preparation of 3D city model and ingenious computation algorithm need an efficient solution in terms of accuracy and computation efforts. As of now, there lacks 3D solar potential computation and carbon dioxide reduction on a city scale of more than 1 million inhabitants.
PV application in different context of climate and culture.
The main aim of this project is to integrate the knowledge of highly detailed 3D spatial sensing and analysis, building energy use, and urban climate from the Taiwan and Germany academics, to incorporate with SMEs and government authorities, and to promote the Building-Integrated Photovoltaics (BIPV) by joint scientific initiatives and events.
Our cooperation between Germany and Taiwan teams will focus on using highly detailed 3D city models obtained from airborne and UAV-borne laser scanning data by a sophisticated raytracing algorithm, implemented in the Heidelberg’s open source research software VOSTOK (Voxel Octree Solar Toolkit). Further advancement will be achieved by integrating meteorological data (Central Weather Bureau CWB of Taiwan and Deutscher Wetterdienst DWD of Germany). A more realistic PV potential will be computed by considering the building regulation for the roof and attached facilities which are differently implemented in Germany and Taiwan.
3D solar potential modeling in VOSTOK
The combination of energy modeling, highly detailed 3D geographic sensing and computation will allow us to reveal a completely new picture of the current energy situation in a city and how the potential of future emission reduction is distributed in space and time. Our novel methodological approach is an important component for a universal smart city infrastructure. The result of our project is a flexible smart city service that can update the emission reduction estimations continuously.