A BIM-Based Optimization Model for Enhancing Building Energy Performance in Green Construction

The construction sector plays a significant role in global energy consumption and environmental degradation, necessitating innovative approaches to improve building energy performance in green construction. Building Information Modeling (BIM) has emerged as a powerful platform for integrating design, analysis, and decision-making throughout the building lifecycle. This study proposes a BIM-based optimization model aimed at enhancing building energy performance to support green construction objectives. The proposed model integrates BIM with building energy simulation and optimization techniques to evaluate and optimize key design parameters, including building orientation, envelope characteristics, material selection, and mechanical system configurations. The model is validated through a case study of a building project, where energy performance scenarios are simulated and compared. The results demonstrate that the BIM-based optimization model can significantly reduce annual energy consumption and improve overall energy efficiency compared to conventional design approaches. The findings highlight the effectiveness of BIM as a decision-support tool for energy-efficient design and provide practical insights for architects, engineers, and project stakeholders in implementing green construction strategies. This research contributes to the development of integrated BIM-based methodologies for sustainable building design and supports the advancement of energy-efficient construction practices.

Authors

Institutions

Publication Details

Journal
Civil Engineering and Architecture
Published
2026-05-01
DOI
https://doi.org/10.13189/cea.2026.140333
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A BIM-Based Optimization Model for Enhancing Building Energy Performance in Green Construction

Heni Fitriani, Melawaty Agustien, Muhammad Fajri Romdhoni, Dina Sekar Sari
Civil Engineering and Architecture
BIM and Construction Integration
article

A BIM-Based Optimization Model for Enhancing Building Energy Performance in Green Construction

Heni Fitriani, Melawaty Agustien, Muhammad Fajri Romdhoni, Dina Sekar Sari
article en

Abstract

The construction sector plays a significant role in global energy consumption and environmental degradation, necessitating innovative approaches to improve building energy performance in green construction. Building Information Modeling (BIM) has emerged as a powerful platform for integrating design, analysis, and decision-making throughout the building lifecycle. This study proposes a BIM-based optimization model aimed at enhancing building energy performance to support green construction objectives. The proposed model integrates BIM with building energy simulation and optimization techniques to evaluate and optimize key design parameters, including building orientation, envelope characteristics, material selection, and mechanical system configurations. The model is validated through a case study of a building project, where energy performance scenarios are simulated and compared. The results demonstrate that the BIM-based optimization model can significantly reduce annual energy consumption and improve overall energy efficiency compared to conventional design approaches. The findings highlight the effectiveness of BIM as a decision-support tool for energy-efficient design and provide practical insights for architects, engineers, and project stakeholders in implementing green construction strategies. This research contributes to the development of integrated BIM-based methodologies for sustainable building design and supports the advancement of energy-efficient construction practices.

Civil Engineering and ArchitectureVol. 14(3)
Sriwijaya University (ID)
Openalex Percentile: Top 7%
BIM and Construction Integration
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.