A methodology for digitally optimising energy consumption in buildings

Abstract

This study aimed at developing a methodology for digitally optimising energy consumption and indoor environmental parameters (heat, light, and air quality) of buildings using digital twin (DT) technology for dynamic occupant interactions. Along these lines, a Building Information Modelling (BIM)-based and Internet of Things (IoT)-driven DT system was developed to improve building occupants’ comfort and subsequently, optimise energy consumption. The prototype DT system was implemented in a University library environment as a case study in keeping with experimenting on the ‘Living Lab’ concept factoring in all nuances associated with live environments. The proposed system integrated IoT sensors with BIM providing a semiotic representation of the internal conditions in DT. The semiotic representations enable facility managers to take proactive actions to optimise thermal, lighting, and air quality conditions in the building. The findings of this research have several theoretical and practical contributions. More specifically, the innovative DT system integrates real-time data collected through multiple sensors with a 3D BIM-based model that dynamically combines the monitored data. The current state of the building is then reflected semiotically in the BIM model providing hence an efficient platform and a better impression of the indoor conditions to the building/facility manager for prompt decision-making and data-driven predictive actions. The BIM-based and IoT-driven DT system fills the gap regarding the static considerations of buildings for carrying out energy consumption management. The methodology used in this research to develop the DT system provides an exemplar for similar works to be carried out in creating a DT. Interestingly, a key uniqueness of this study lies in the implementation of the DT concept in a University library environment in keeping with experimenting on the “Living Lab” concept factoring all nuances associated with live environments for energy consumption management. Practically, the DT system with semiotic representations enables building/facility managers to take proactive actions to optimise thermal, lighting, and air quality conditions in the building. Another key contribution to practice can be found in the bespoke best practice guidelines. The guidelines provide an opportunity for building/facility managers and other stakeholders to advance best practices towards minimising energy consumption in buildings to help address climate change.

Date of Award	2023
Original language	English
Awarding Institution	Western Sydney University
Supervisor	Srinath Perera (Supervisor)