Parametric Optimization of Window Surfaces Based on Targeted Illumination Levels in Specific Rooms of Building

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21450%2F25%3A00387205" target="_blank" >RIV/68407700:21450/25:00387205 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.52842/conf.ecaade.2025.2.185" target="_blank" >https://doi.org/10.52842/conf.ecaade.2025.2.185</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.52842/conf.ecaade.2025.2.185" target="_blank" >10.52842/conf.ecaade.2025.2.185</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Parametric Optimization of Window Surfaces Based on Targeted Illumination Levels in Specific Rooms of Building

Popis výsledku v původním jazyce

In the building design process, optimizing windows is critical for improving a building's energy efficiency, as it balances the needs for natural lighting, heating, and cooling. Previous studies have explored various factors affecting window performances, including size, orientation, and glazing properties. Several techniques and methods have demonstrated that building envelope characteristics, such as the window-to-wall ratio and shading devices, significantly impact natural lighting and energy consumption. However, with the rapid technological advancements in the construction industry, one persistent challenge remains the need to save time in the design process. This article explores a parametric method for optimizing window surface areas in a residential house project using Dynamo and Python within a Revit environment. The goal is to ensure that each room achieves a target level of natural illuminance expressed in lux, while meeting energy efficiency and aesthetic requirements. This approach is based on precise calculations aligned with lighting standards and automation using Dynamo and Python. Initially, we manually calculated the window areas required to meet the target illuminance levels for each room. This was followed by a parametric method, which began with the creation of shared parameters linked to the windows in a pre-designed 3D architectural model and the development of Dynamo scripts to calculate room and window areas in the base model. Subsequently, we developed scripts using Dynamo and Python within Revit to calculate the required window opening areas to achieve the target illuminance level and adjust the window dimensions accordingly. Finally, we compared the manual and parametric approaches. The results of this research provide a streamlined and efficient solution for window optimization during building design, ensuring compliance with lighting standards while enhancing energy performance.

Název v anglickém jazyce

Parametric Optimization of Window Surfaces Based on Targeted Illumination Levels in Specific Rooms of Building

Popis výsledku anglicky

In the building design process, optimizing windows is critical for improving a building's energy efficiency, as it balances the needs for natural lighting, heating, and cooling. Previous studies have explored various factors affecting window performances, including size, orientation, and glazing properties. Several techniques and methods have demonstrated that building envelope characteristics, such as the window-to-wall ratio and shading devices, significantly impact natural lighting and energy consumption. However, with the rapid technological advancements in the construction industry, one persistent challenge remains the need to save time in the design process. This article explores a parametric method for optimizing window surface areas in a residential house project using Dynamo and Python within a Revit environment. The goal is to ensure that each room achieves a target level of natural illuminance expressed in lux, while meeting energy efficiency and aesthetic requirements. This approach is based on precise calculations aligned with lighting standards and automation using Dynamo and Python. Initially, we manually calculated the window areas required to meet the target illuminance levels for each room. This was followed by a parametric method, which began with the creation of shared parameters linked to the windows in a pre-designed 3D architectural model and the development of Dynamo scripts to calculate room and window areas in the base model. Subsequently, we developed scripts using Dynamo and Python within Revit to calculate the required window opening areas to achieve the target illuminance level and adjust the window dimensions accordingly. Finally, we compared the manual and parametric approaches. The results of this research provide a streamlined and efficient solution for window optimization during building design, ensuring compliance with lighting standards while enhancing energy performance.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20103 - Architecture engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 43rd International Conference on Education and Research in Computer Aided Architectural Design in Europe Volume 2

ISBN

9789491207402

ISSN

2684-1843

e-ISSN

—

Počet stran výsledku

10

Strana od-do

185-194

Název nakladatele

Education and research in Computer Aided Architectural Design in Europe

Místo vydání

Brussels

Místo konání akce

Ankara

Datum konání akce

1. 9. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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