Development of a Management System to Improve the Energy Efficiency of Public Buildings by Integrating IoT and BIM

Abstract

Development of a Management System to Improve the Energy Efficiency of Public Buildings by Integrating IoT and BIM. pp (submitted 09Jun2022; Accepted 24Nov2022) Development of a Management System to Improve the Energy Efficiency of Public Buildings by Integrating IoT and BIM Ehsan Saghatforoush 1, Hamidreza Abbasianjahromi 2, Mohammad Amin Talaghat 3, and Zahra Kahvandi 4 Abstract Question: How can the building information models be more dynamic using IoT, so that it improves the comfort level of end-users in educational settings? Purpose: A major challenge for using BIM during the building's life cycle, and especially at the post-occupancy stage is the lack of live information in the model, which reflects the need for a dynamic model. The requirements for quality control of the interior of buildings and ensuring the comfort of residents, especially in the educational environment due to their high importance in providing comfort, improving productivity, and lean maintenance, have increased. The lean maintenance process structure is designed based on five lean principles, which guide and support organizations to pursue maintenance excellence and improve the level of comfort and energy. Research Method: This study provides a solution that uses environmental data collected through Internet of Things (IoT) sensors to make the model dynamic. This is done by entering the live data into the building information model of a building. For this purpose, a web-based platform is designed that provides the possibility of displaying the level of comfort and control recommendations to improve the level of comfort. Findings: This study shows that temperature and humidity are the two most effective parameters for the level of comfort. The dynamic building model of the institutional building used in the case study is then created and the level of comfort of its users is evaluated. Limitations/Implications: One of the limitations of this research is the costly and timeconsuming preparation and installation of sensors because just temperature humidity were selected as the effective environmental parameters to collect the environmental parameters affecting the comfort level of users of an educational setting and entering this data into the building information model. Value for authors: This study improves the comfort level of institutional project users by monitoring live information on a web-based platform significantly