Parametric Optimization of Thermal Comfort from Architectural Design Phase

Result code in 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>

Result on the web

<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

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Result language

angličtina

Original language name

Parametric Optimization of Thermal Comfort from Architectural Design Phase

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20103 - Architecture engineering

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

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

Article name in the collection

Digital Architectural Research - DARe

ISBN

978-83-68077-87-2

ISSN

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e-ISSN

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Number of pages

19

Pages from-to

287-305

Publisher name

Bialystok University of Technology Publishing Office

Place of publication

Białystok

Event location

Białystok

Event date

Jun 4, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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