Parametric Optimization of Thermal Comfort from Architectural Design Phase

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21450%2F25%3A00386918" target="_blank" >RIV/68407700:21450/25:00386918 - isvavai.cz</a>

Výsledek na webu

<a href="https://dare-conf.eu/publication/DARe_2025.pdf" target="_blank" >https://dare-conf.eu/publication/DARe_2025.pdf</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Parametric Optimization of Thermal Comfort from Architectural Design Phase

Popis výsledku v původním jazyce

Optimizing thermal comfort in buildings is an increasing priority to address occupant well-being while contributing to sustainability and reducing energy consumption (Alsharif et al. 2021; Rane et al. 2023). Several approaches to thermal comfort have been explored, including optimizing envelope design (Bojic et al. 2013), model predictive control (MPC) for HVAC systems (Carli et al. 10/6/2019), data-driven approaches using machine learning models (Chen et al. 06182021), and statistical methods to integrate thermal comfort into the design of low-energy buildings (Hawila and Merabtine 2021). However, persistent challenges remain major concerns for building professionals. These challenges relate to data transfer, which refers to interoperability between software, data management throughout the building’s lifecycle, and time lost during the project development phase. This article explores an approach to optimizing the thermal performance of building using Dynamo integrated into the BIM software Autodesk Revit and the EN15251 standard (now included in EN16798-1) as a guideline which provides reference parameters for assessing indoor environmental quality. The proposed optimization approach aims to minimize deviations from the comfort temperature and annual thermal loads according to the scenarios. In order to achieve the desired results, we have divided our research into three main stages: firstly, collecting the necessary input data to assess the indoor environmental quality of the building; secondly, modelling the architectural design using the BIM software Autodesk Revit and performing simulations to optimize thermal comfort using Dynamo integrated with Revit; and finally, validating the optimized model by verifying the results according to the standard. The results demonstrate the effectiveness of using Dynamo integrated with Revit to automate analysis, simulation, and optimization cycles from a high-performance design perspective. This approach allows the building to be optimized according to the desired category of thermal conditions while significantly saving considerable time.

Název v anglickém jazyce

Parametric Optimization of Thermal Comfort from Architectural Design Phase

Popis výsledku anglicky

Optimizing thermal comfort in buildings is an increasing priority to address occupant well-being while contributing to sustainability and reducing energy consumption (Alsharif et al. 2021; Rane et al. 2023). Several approaches to thermal comfort have been explored, including optimizing envelope design (Bojic et al. 2013), model predictive control (MPC) for HVAC systems (Carli et al. 10/6/2019), data-driven approaches using machine learning models (Chen et al. 06182021), and statistical methods to integrate thermal comfort into the design of low-energy buildings (Hawila and Merabtine 2021). However, persistent challenges remain major concerns for building professionals. These challenges relate to data transfer, which refers to interoperability between software, data management throughout the building’s lifecycle, and time lost during the project development phase. This article explores an approach to optimizing the thermal performance of building using Dynamo integrated into the BIM software Autodesk Revit and the EN15251 standard (now included in EN16798-1) as a guideline which provides reference parameters for assessing indoor environmental quality. The proposed optimization approach aims to minimize deviations from the comfort temperature and annual thermal loads according to the scenarios. In order to achieve the desired results, we have divided our research into three main stages: firstly, collecting the necessary input data to assess the indoor environmental quality of the building; secondly, modelling the architectural design using the BIM software Autodesk Revit and performing simulations to optimize thermal comfort using Dynamo integrated with Revit; and finally, validating the optimized model by verifying the results according to the standard. The results demonstrate the effectiveness of using Dynamo integrated with Revit to automate analysis, simulation, and optimization cycles from a high-performance design perspective. This approach allows the building to be optimized according to the desired category of thermal conditions while significantly saving considerable time.

Druh

D - Stať ve sborníku

CEP obor

—

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

Digital Architectural Research - DARe

ISBN

978-83-68077-87-2

ISSN

—

e-ISSN

—

Počet stran výsledku

19

Strana od-do

287-305

Název nakladatele

Bialystok University of Technology Publishing Office

Místo vydání

Białystok

Místo konání akce

Białystok

Datum konání akce

4. 6. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—