3D City modeling for urban scale heating energy demand forecasting

Strzalka, Aneta; Bogdahn, Jürgen; Coors, Volker; Eicker, Ursula

doi:10.1080/10789669.2011.582920

Cited by 78 publications

(2 citation statements)

References 13 publications

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“…Users can create their own ADE to these facades to store additional information. For example, for energy analysis purposes, the U-value of building facades could be stored (Strzalka, et al, 2011).…”

Section: Proposing Lod35mentioning

confidence: 99%

“…LoD requirements depend on the applications. For example, LoD2 models would often suffice for visualization purposes, whereas LoD4 models are more suitable for simulation purposes (Strzalka, et al, 2011). To support fast rendering in visualization and satisfy different application needs, transformation between different LoDs must be achieved.…”

Section: Introductionmentioning

confidence: 99%

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Automatic Transformation of Different Levels of Detail in 3D GIS City Models in CityGML

Deng

Cheng

2015

International Journal of 3-D Information Modeling

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3D Geographic Information System (GIS) models are increasingly used for planning and analyses on a city level. Defining 3D GIS city models in different levels of detail (LoD) is often needed to browse and handle large models more efficiently. In this paper, a methodology framework for automatic transformation of different LoDs in CityGML is presented and illustrated. A new exterior shell extraction algorithm was developed from the Ray Tracing algorithm for classifying building surfaces as interior or exterior. A transformation framework among each LoD was developed based on the new exterior shell extraction algorithm. The transformation framework also includes an additional LoD called LoD3.5 that the authors proposed in this paper. The new LoD can satisfy the needs of applications which require information about interior rooms while maintaining a small data storage. The results show that the new exterior shell extraction algorithm can help achieve an automatic derivation of LoDs in CityGML.

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Section: Proposing Lod35mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%