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.

 

MOEEBIUS will introduce a Holistic Energy Performance Optimization Framework that will enhance current (passive and active building elements) modelling approaches and delivers innovative simulation tools which:

1. deeply grasp and describe real-life building operation complexities in accurate simulation predictions that significantly reduce the “performance gap” and,

2. 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.

The MOEEBIUS Framework comprises the configuration and integration of an innovative suite of end-user tools and applications enabling:

  • Improved Building Energy Performance Assessment on the basis of enhanced BEPS models (seamlessly addressing dynamic aspects of building operation, such as occupancy and weather conditions), that are iteratively and dynamically updated through feedback received from actual building measurements to allow for more accurate representation of the real-life complexities of the building,

  • Precise allocation of detailed performance contributions of critical building components, for directly assessing actual performance against predicted values and easily identifying performance deviations, their root causes and further optimization needs,

  • Real-time building performance optimization (during the operation and maintenance phase) including advanced simulation-based (human-centric) control and real-time self-diagnosis features, to resolve problems occurring due to user-behaviour, occupancy and climatic alterations and continuously tackle performance deviations that emerge throughout the building’s life due to non-efficient controls, low performing systems or poor maintenance,

  • Optimized retrofitting decision making on the basis of improved and accurate LCA/ LCC-based (Life-Cycle Assessment/ Life-Cycle Cost) performance predictions, ensuring that the building performs as intended (regarding structural, environmental and energy performance, along with health, safety and comfort of occupants) and enabling optimized ROI along the building lifecycle,

  • Real-time peak-load management optimization at the district level. By upscaling the holistic optimization approach at the level of blocks of buildings and whole districts, MOEEBIUS will address uncertainties imposed by the stochastic nature of intermittent renewable energy sources and allow their efficient integration into the Smart Grid, through fine-grained control and exploitation of the aggregated capacity and flexibility of buildings and district heating systems (forming dynamic Virtual Power Plants-VPP) in highly effective energy efficiency and demand response schemes.

solution moeebius 

The MOEEBIUS Solution

Saturday, December 16, 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.