Multi-Objective Optimization of Office Building Energy Performance and Indoor Thermal Comfort Using NSGA-II Algorithm: Subtropical Climate

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/68407700:21720/25:00387911

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Multi-Objective Optimization of Office Building Energy Performance and Indoor Thermal Comfort Using NSGA-II Algorithm: Subtropical Climate

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Multi-Objective Optimization of Office Building Energy Performance and Indoor Thermal Comfort Using NSGA-II Algorithm: Subtropical Climate

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20101 - Civil engineering

Projekt

—

Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název statě ve sborníku

IOP Conference Series: Earth and Environmental Science

ISBN

—

ISSN

1755-1307

e-ISSN

—

Počet stran výsledku

10

Strana od-do

—

Název nakladatele

Institute of Physics Publishing

Místo vydání

Bristol

Místo konání akce

Prague, CTU

Datum konání akce

16. 9. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001674556000033