Urban sustainability

Innovative simulation tools

Real-life models

Modelling Optimization of Energy Efficiency in Buildings for Urban Sustainability

MOEEBIUS introduces a Holistic Energy Performance Optimization Framework that enhances current 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.

 

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MOEEBIUS addresses occupant profiling and occupant’s behaviour as a fundamental factor for the optimization of energy performance at building and district level, through the implementation of a framework that both addresses occupant preferences and is adaptive to the operational patterns of the monitoring area.

 

Occupant behaviour is complex, stochastic and multi-disciplinary (Figure 1). Having deep understanding of occupant behaviour and being able to model and quantify its impact on use of building technologies and energy performance of buildings is crucial to design and operation of low energy buildings. Due to the complexity and the great district discrepancy of occupant behaviour, it is prerequisite for researchers to work together to define and simulate occupant behaviour in a consistent and standard way

In that context, two basic constraints are defined within the proposed framework:

  • profiling should appease the occupants and
  • energy performance optimization should take into account occupant comfort and occupant-specific preferences. 

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Needs of building occupants that may result in an action that affect the building energy use, source: Hong, T., D'Oca, S., Turner, W. J., & Taylor-Lange, S. C. (2015). An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs framework. Building and Environment, 92, 764-777

Towards this direction, the MOEEBIUS innovative occupant profiling framework monitors and learns transparently the operational and other occupant behavioural patterns (user preferences). Furthermore, the occupant profiling itself transparently aligns the knowledge regarding each building operational patterns to the occupants taking into account the building use and use this information in order to predict and automate basic operations. The MOEEBIUS Profiling engine utilize real-time energy data and ambient information in order to define dynamic consumer flexibility profiles and enable energy performance optimization through automated control strategies that balance energy performance with comfort and indoor quality requirements.

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If you want to know more about the MOEEBIUS innovative occupant profiling framework, please read full report about the MOEEBIUS Comfort Profiling Models!

 

 

 

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Tuesday, November 21, 2017

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EU  This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 680517.