Performance Evaluation of Automatically Generated BIM from Laser Scanner Data for Sustainability Analyses

Authors

Chao Wang, College of Engineering
Yong K. Cho, College of Engineering

Document Type

Conference Proceeding

Publication Date

1-1-2015

Abstract

Existing buildings now represent the greatest opportunity to improve building energy efficiency. Building performance analysis is becoming increasingly important because decision makers can have a better visualization of their building's performance and quickly make the solution for improving building energy efficiency and reducing environmental impacts. Nowadays, building information models (BIMs) have been widely created during the design phase of new buildings, and it can be easily imported to third party software to conduct various analyses. However, a BIM is not always available for all existing buildings. Even if a BIM is available during the design and construction phases, it is very challenging to keep updating it while a building is aged. A manual process to create or update a BIM is very time consuming and labor intensive. A laser scanning technology has been a popular tool to create as-is BIM. However it still needs labor-intensive manual processes to create a BIM out of point clouds. This paper introduces automatic as-is simplified BIM creation from point clouds for energy simulations. A framework of decision support system that can assist decision makers on retrofits for existing buildings is introduced as well. A case study on a residential house was tested in this study to validate the proposed framework, and the technical feasibility of the developed system was positively demonstrated.

Publication Source (Journal or Book title)

Procedia Engineering

First Page

918

Last Page

925

Recommended Citation

Wang, C., & Cho, Y. (2015). Performance Evaluation of Automatically Generated BIM from Laser Scanner Data for Sustainability Analyses. Procedia Engineering, 118, 918-925. https://doi.org/10.1016/j.proeng.2015.08.531