Impact of geometrical resolution on long-term climate-based daylight metrics

Conference paper (2024)

Authors

N. Forouzandeh Shahraki Environmental & Climate Design - Architecture and the Built Environment
E. Brembilla Environmental & Climate Design - Architecture and the Built Environment
J.E. Stoter Urban Data Science - Architecture and the Built Environment
L. Nan Urban Data Science - Architecture and the Built Environment
Research Group
Environmental & Climate Design (Architecture and the Built Environment) (TU Delft)
Copyright: © 2024 N. Forouzandeh Shahraki, E. Brembilla, J.E. Stoter, L. Nan
DOI
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https://doi.org/10.26868/25222708.2023.1132
Daylight Blinds automated control Complex fenestration systems Radiance matrix methods
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Published Date

2024

Language

English

Reuse Rights

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Faculty

Architecture and the Built Environment

Department

Architectural Engineering +Technology

Research Group

Environmental & Climate Design

Abstract

3D modeling of indoor spaces is a prerequisite for daylight simulation, and the accuracy of the 3D models has a significant impact on the simulation. The goal of this study was to quantify the errors caused by modeling indoor spaces at different accuracy levels to find the optimal balance between the reliability of the results and labor investment. For this purpose, we introduce a level of detail (LOD) concept for indoor spaces based on the size of non-permanent indoor objects by inclusion and exclusion from the simulation scene. The errors corresponding to models with low accuracies are measured by climate-based simulation using an improved two-phase method. Our results show that inaccurate modeling of indoor spaces causes between 10-70% error in TAI with 25% median across all spaces.

Files

Bs2023_1132.pdf
(.pdf | 3.67 Mb)