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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One of the primary activities of MOEEBIUS project is the definition of MOEEBIUS Business scenarios and use-cases which will further enable the definition of specifications of MOEEBIUS platform. A list of 5 Business Scenarios has been derived after consultation with MOEEBIUS end users, from ESCOs and facility managers, to Maintenance Experts and Aggregators, and taking into account the main objectives of the project:

  • real-time building performance optimization towards the establishment of a sustainable environment;
  • active Participation in Demand Response Schemas through the optimal management of consumers portfolio;
  • optimized Predictive maintenance diagnostics and decision making tool to ensure high levels of business performance;
  • optimized retrofitting decision making on the basis of improved and accurate LCA/ LCC-based performance predictions;
  • holistic DSS towards the establishment of a sustainable building level and district level environment.

The latter is considered as a meta-scenario, addressing the different building management processes as examined in the project. Following the definition of business scenarios, we proceed with the extraction of MOEEBIUS technical use cases which set the frame for MOEEBIUS reference architecture. A total number of 11 use cases has been defined: 

  • UC-01: Real Time Monitoring of Building Operation    
  • UC-02: Real-time Building Optimization through Simulation-based Automation
  • UC-03: Building Energy Performance Assessment on the basis of enhanced BEPS models
  • UC-04: Addressing the role of occupants as a main parameter on buildings operation
  • UC-05: Visual Analytics over consumers’ historical data
  • UC-06: Hypothesis analysis for the optimal management of consumers on DSM strategies
  • UC-07: District level dynamic assessment framework for energy performance optimization              
  • UC-08: Building performance optimization through the selection of predictive maintenance strategies
  • UC-09: Establishment of a Virtual Reality environment for Predictive Maintenance support
  • UC-10: Supporting retrofitting decision-making by addressing real time building operation
  • UC-11: Holistic DSS addressing real time building and district operation, predictive maintenance and retrofitting strategies

Read the latest project report to find out more about business scenarios, use cases and requirements. Download the report >>>

 

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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.