Harnessing Digital Twin for Simulation Performance Analysis, using a Hempcrete Building

The emergence of new technologies has increasingly stimulated advancement in building performance simulation and enables sustainable construction, towards
climate change mitigation. This paper harnesses digital twins to investigate simulation performance analysis and consequently, performance gap reduction using a hempcrete building. A monitored hempcrete building is used as the physical object and database system, where relevant monitored data of temperature and relative humidity is obtained. The digital imitation of the hempcrete building is the digital twin that contains static and dynamic data obtained from its physical twin. Also, the measured model interacts with the simulated system and the model then processes the data to extract relevant information for simulation. The digital twin simulation and analysis of the synthesized data is carried out in IES iSCAN. Simulation of the monitored hempcrete building is carried out in IES Virtual Environment. The results will provide insights on calibrated digital twin framework for facilitating simulation performance analysis and optimize hempcrete simulation for energy efficient designs in the built environment.