Shadowing Calculation on Urban Areas from Semantic 3D City Models

Conference paper (2024)

Authors

Longxiang Xu Student
C.A. León Sánchez Urban Data Science - Architecture and the Built Environment
G. Agugiaro Urban Data Science - Architecture and the Built Environment
J.E. Stoter Urban Data Science - Architecture and the Built Environment
Research Group
Urban Data Science (Architecture and the Built Environment) (TU Delft)
Copyright: © 2024 Longxiang Xu, C.A. León Sánchez, G. Agugiaro, J.E. Stoter
DOI: https://doi.org/10.1007/978-3-031-43699-4_2
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Published Date

2024

Language

English

Reuse Rights

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Faculty

Architecture and the Built Environment

Department

Urbanism

Research Group

Urban Data Science

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.

Files

978-3-031-43699-4_2.pdf
(.pdf | 0.571 Mb)
- Embargo expired in 21-08-2024