Multi-Objective Optimization of Office Building Energy Performance and Indoor Thermal Comfort Using NSGA-II Algorithm: Subtropical Climate
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F25%3A00387911" target="_blank" >RIV/68407700:21110/25:00387911 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21720/25:00387911
Result on the web
<a href="https://doi.org/10.1088/1755-1315/1546/1/012033" target="_blank" >https://doi.org/10.1088/1755-1315/1546/1/012033</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1088/1755-1315/1546/1/012033" target="_blank" >10.1088/1755-1315/1546/1/012033</a>
Alternative languages
Result language
angličtina
Original language name
Multi-Objective Optimization of Office Building Energy Performance and Indoor Thermal Comfort Using NSGA-II Algorithm: Subtropical Climate
Original language description
This study investigates the optimization of passive and active design strategies to enhance energy performance and indoor thermal comfort in a six-story office building located in Osaka (Japan), which represents a humid subtropical climate (Köppen-Geiger classification: Cfa). A Multi-Objective Optimization (MOO) framework was employed using the Non-dominated Sorting Genetic Algorithm II (NSGA-II). Additionally, a Sensitivity Analysis (SA) based on the Morris method was conducted to evaluate the influence of 18 design variables on three objective functions. Building Energy Modelling (BEM) and baseline energy simulations were carried out using EnergyPlus. Subsequently, 18 retrofitting variables—comprising both passive and active strategies—along with three objective functions, including Predicted Percentage of Dissatisfied (PPD), annual heating and cooling energy loads, were defined in jEPlus. The optimization and SA were then implemented using jEPlus+EA. The results indicate that optimized passive and active strategies significantly improved energy efficiency and indoor comfort, which reduced PPD by 16.1%, heating load by 26.4%, and cooling load by 51.5%. SA results showed that the Window-to-Wall Ratio (WWR) on the north, south, and east façades, as well as the south overhang depth, were the most influential variables. These findings provide valuable insights for climate-responsive design of office buildings in this climate region.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20101 - Civil engineering
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IOP Conference Series: Earth and Environmental Science
ISBN
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ISSN
1755-1307
e-ISSN
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Number of pages
10
Pages from-to
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Publisher name
Institute of Physics Publishing
Place of publication
Bristol
Event location
Prague, CTU
Event date
Sep 16, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001674556000033