Optimizing Energy Efficiency in Residential Buildings Using BIM and Energy Analysis Tools

Mohammad Karimi¹, K. Manjula Vani¹, Mustafa Karimi²

1. JNTUH
2. Ritsumeikan University

Published in Proceedings of the International Conference on Smart and Sustainable Built Environment (SASBE 2024), edited by Ali GhaffarianHoseini, Amirhosein GhaffarianHoseini, Farzad Rahimian and Mahesh Babu Purushothaman. Springer Nature, Lecture Notes in Civil Engineering, volume 591, 2025, pages 1232 to 1242. DOI 10.1007/978-981-96-4051-5_118.

Abstract

This study investigates the potential of using Building Information Modeling (BIM) and energy analysis tools to optimize the energy efficiency of multifamily residential buildings in Kabul, Afghanistan. The early design stage is critical, as key decisions made during this phase significantly enhance energy efficiency. By employing BIM and energy analysis tools, architects and engineers can evaluate various design scenarios and explore high-standard, energy-efficient materials to optimize energy consumption and promote environmental sustainability. This research utilizes BIM and Insight 360 energy analysis tools to analyze energy and cost optimization for a case study of a multifamily residential building in Kabul. The analysis demonstrates that applying different design scenarios and altering construction materials in the early design stage can substantially improve energy usage, measured in terms of Energy Use Intensity (EUI) and cost in USD/m2/year. The results indicate that integrating BIM and energy analysis tools significantly enhance energy efficiency in residential buildings, contributing to more sustainable construction practices and promoting environmentally friendly designs.

Keywords

Session

Presented in Track D, Friday 8 November 2024, 11:00 to 13:00, room WG 1020, Auckland University of Technology. Session chair Dr Alessandro Premier.

How to Cite

Karimi, M., Manjula Vani, K., & Karimi, M. (2025). Optimizing Energy Efficiency in Residential Buildings Using BIM and Energy Analysis Tools. In A. GhaffarianHoseini, A. GhaffarianHoseini, F. Rahimian, & M. B. Purushothaman (Eds.), Proceedings of the International Conference on Smart and Sustainable Built Environment (SASBE 2024) (Lecture Notes in Civil Engineering, Vol. 591, pp. 1232–1242). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-4051-5_118

About the Conference

Presented at SASBE 2024, the International Conference on Smart and Sustainable Built Environment, held in Auckland from 7 to 9 November 2024 and chaired by Professors Ali and Amirhosein GhaffarianHoseini, founders of GDI Academy. The version of record is published by Springer Nature; this page is the conference archive record kept by GDI Academy.