MOEEBIUS aims to improve District Energy Performance Predictability by People Behaviour and demand Modelling to facilitate new ESCO business models.
MOEEBIUS introduces a Holistic Energy Performance Optimization Framework that enhances current (passive and active building elements) modelling approaches and delivers innovative simulation tools which deeply grasp and describe real-life building operation complexities in accurate simulation predictions that significantly reduce the “performance gap” and enhance multi-fold, continuous optimization of building energy performance as a means to further mitigate and reduce the identified “performance gap” in real-time or through retrofitting.
MOEEBIUS main objective is Advancing the capabilities of current Building and District Energy Performance Simulation Tools, to enable accurate predictions through addressing current modelling and measurement & verification inefficiencies.
Nimbus Research Centre role was through the People Behaviour & Technology Integration group that provided User Engagement Monitoring and Modelling along with Predictive Control Algorithms as part of the building control strategies, as well as an adaptive building maintenance VR environment.
The project ended in mid 2019. However, for the final results and more information, please take a look at the following video: