MOEEBIUS objective: Advancing the capabilities of current Building and District Energy Performance Simulation Tools, to enable accurate predictions through addressing current modelling and measurement & verification inefficiencies.
Energy performance assessments at building and district level require procedures that guarantee the quality and accuracy of the evaluation. MOEEBIUS will address data quality and reliability in a three-fold manner:
Provision of enhanced building and district level models addressing the complexity and impact on energy performance of different building and district-wide systems (materials, equipment, energy generation, loads, energy management systems, district heating systems) and sources of uncertainty (occupants’ comfort-based energy behaviour, indoor air quality (health) constraints, weather, RES generation output, demand flexibility). MOEEBIUS adopts a holistic modelling and simulation approach that extends current Energy Performance Simulation Models by incorporating the physical sub-system (buildings, their equipment and their usage, along with districts and their systems), the human sub-system (occupants and their behaviours) and the general surrounding environment (weather, its fluctuations and impact on the other systems) and integrating all of them in a scalable Holistic Energy Performance Optimization Framework applied at local (building) and global (district) scale.
Establishment of a standardized, model-based Measurement and Verification Protocol that sets the basis for (a) improved energy performance base lining, (b) standardized and highly granular energy measurements, performance assessment and savings verification and (c) holistic evaluation of building performance throughout its whole lifecycle.
Enhancement of data collection mechanisms, with the specification of appropriate wireless sensor/ actuator topologies (properly capturing indoor/ outdoor ambient conditions, energy data and health-relevant parameters), introduction of innovative energy autonomous, low-cost, plug & play sensing devices (MOEEBIUS NOD) and integration of external data sources (weather data, BEMS data, DH data) into the MOEEBIUS rich Data Acquisition and Management mechanisms (MOEEBIUS-PIPE) enabling enhanced and highly granular analytics, whilst alleviating non-meaningful and useless data.
Modelling of the dynamic aspects (occupants, weather) affecting energy performance will be a continuous process within MOEEBIUS, enabling their successive calibration, updating and fine-tuning on the basis of real-life measurements.
Scaling up at the district level, MOEEBIUS will enable accurate forecasts of Distributed Energy Resources-DERs (supply and demand) performance and their aggregated flexibility to respond to demand side management events for improving district energy performance through optimized peak-load management.