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Evaluating the Impact of Insulation Materials on Energy Efficiency Using BIM-Based Simulation for Existing Building Retrofits: Case Study of an Apartment Building in Kanazawa, Japan

Author(s):
ORCID
ORCID
Medium: journal article
Language(s): English
Published in: Buildings, , n. 4, v. 15
Page(s): 570
DOI: 10.3390/buildings15040570
Abstract:

This research aims to facilitate informed decision-making to enhance building energy simulation, reduce costs, and minimize CO2 emissions through building insulation enhancements employing BIM-based simulation. Architectural models of an apartment, a prevalent residential structure in Japan, were developed and examined under diverse insulation scenarios utilizing ArchiCAD 28. Five insulation substances were chosen based on existing guidelines to ensure conformity with local standards and were evaluated for their thermal and environmental properties: Cellulose Fiber, Glass Wool, Urethane Foam, Phenolic Board, and Rock Wool for evaluation based on thermal and environmental properties. The simulation parameters were aligned with Japan’s energy efficiency standards and climate conditions. The factors addressed encompass energy performance evaluation, economic viability, and CO2 emissions. Simulation findings highlight Urethane Foam as the most effective and environmentally friendly building insulation material. This study provides valuable perspectives for property owners, building designers, and contractors, offering a framework for insulation enhancement choices that optimizes sustainable construction, reduces environmental impact, and enhances cost-effectiveness through the implementation of BIM-based simulation.

Copyright: © 2025 by the authors; licensee MDPI, Basel, Switzerland.
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10820673
  • Published on:
    11/03/2025
  • Last updated on:
    11/03/2025
 
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