Title
Shadowing Calculation on Urban Areas from Semantic 3D City Models
Author
Xu, Longxiang (Student TU Delft)
León Sánchez, C.A. (TU Delft Urban Data Science) 
Agugiaro, G. (TU Delft Urban Data Science)
Stoter, J.E. (TU Delft Urban Data Science)
Contributor
Kolbe, Thomas H. (editor)
Donaubauer, Andreas (editor)
Beil, Christof (editor)
Date
2024
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.
Subject
Solar potential
3DCM
Shadows analysis
Raytracing
To reference this document use:
http://resolver.tudelft.nl/uuid:a8c4a992-5047-49e8-b084-ab9fa91cc28c
DOI
https://doi.org/10.1007/978-3-031-43699-4_2
Publisher
Springer, Cham
Embargo date
2024-08-21
ISBN
978-3-031-43698-7
Source
Recent Advances in 3D Geoinformation Science: Proceedings of the 18th 3D GeoInfo Conference
Event
18th 3D Geoinfo Conference, 2023-09-12 → 2023-09-14, Technical University of Munich, Munich, Germany
Series
Lecture Notes in Geoinformation and Cartography, 1863-2246
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Part of collection
Institutional Repository
Document type
conference paper
Rights
© 2024 Longxiang Xu, C.A. León Sánchez, G. Agugiaro, J.E. Stoter