Shadowing Calculation on Urban Areas from Semantic 3D City Models
Longxiang Xu (Student TU Delft)
Camilo León-Sánchez (TU Delft - Urban Data Science)
Giorgio Agugiaro (TU Delft - Urban Data Science)
Jantien Stoter (TU Delft - Urban Data Science)
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Abstract
Nowadays, our society is in the transit to adopt more sustainable energy sources to reduce our impact on the environment; one alternative is solar energy. However, this is highly affected by the surroundings, which might cause shadowing effects. In this paper, we present our method to perform shadowing calculations in urban areas using semantic 3D city models, which is split into five sections: Point Grid Generation, Sun-Ray Generation, Nightside Filtering, Bounding Volume Hierarchy and the intersection between the sun rays and the BVH to identify which locations are shadowed at a given moment (epoch). Our tests are performed in Rotterdam’s city center, a dense urban area in The Netherlands. Our initial results indicate that the computational time per 100 k grid points fluctuates within 0.2–0.7s.