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LarsHarrie

Lars Harrie

Professor

LarsHarrie

Input data requirements for daylight simulations in urban densifications

Author

  • Karolina Pantazatou
  • Jouri Kanters
  • Per-Ola Olsson
  • Lars Harrie
  • Johannes Lande Nyborg

Summary, in English

One of the biggest challenges in urban densifications is securing adequate daylight access. This study examines the potential of using semantic 3D city models as input to daylight simulations. It is focusing on investigating input data requirements to these simulations from a geodata, 3D city model specification and measuring guideline perspective. To achieve this, geodata simulation input requirements for the most common daylight metrics are documented. Next, 3D city model data from two Swedish municipalities along with 3D data constructed by ourselves in CAD- and GIS-environments are utilized to explore the impact of using 3D city models of different levels of detail (LOD) and positional accuracy in daylight simulations linked to Swedish and European laws and recommendations. Similarly, the measuring guidelines and 3D city model specification requirements related to balconies and other façade accessories are also evaluated along with the utilization of façade reflectance properties and colour. It is found that LOD1 is sufficient for the obstruction angle metric for most roof types but for e.g., gabled roofs LOD2 should be used. A positional accuracy on a decimetre-level is accurate enough for the aforementioned metric. Daylight factor simulations require that balconies and façade accessories protruding more than a couple of decimetres must be represented in the 3D city model along with information on façade material and colour. The outcome of the study is expressed in the form of a list of recommendations for the creation of national profiles of 3D city models supporting daylight simulations.

Department/s

  • Dept of Physical Geography and Ecosystem Science
  • Energy-efficient and Environmental Building Design (M.Sc.)
  • LTH Profile Area: Circular Building Sector
  • Division of Energy and Building Design
  • Department of Architecture and Built Environment
  • eSSENCE: The e-Science Collaboration
  • Centre for Geographical Information Systems (GIS Centre)

Publishing year

2023-06-01

Language

English

Publication/Series

Urban Informatics

Volume

2

Issue

1

Document type

Journal article

Publisher

Springer

Topic

  • Architectural Engineering
  • Software Engineering
  • Geosciences, Multidisciplinary
  • Probability Theory and Statistics

Keywords

  • Daylight simulations
  • Semantic 3D city models
  • CityGML
  • Daylight factor
  • Urban densifications
  • sustainable urban development

Status

Published

Project

  • Facilitating energy and noise simulations in the planning of urban densification

ISBN/ISSN/Other

  • ISSN: 2731-6963