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.


If you are an ESCO, Maintenance Company, Facility Manager and are interested in the development of MOEEBIUS project, watch the movie, contact us and cooperate with MOEEBIUS Consortium!


The MOEEBIUS Living Lab will be an environment for experience sharing and exchange towards user-driven open innovation of products and services. The activities to be carried out within the MOEEBIUS Living Lab will be oriented towards fulfilling the following objectives:

  • Widely disseminate the project outcomes towards end-users and various stakeholders so as to generate a broad awareness and engagement/ involvement in the various project activities.
  • Create opportunities for further exploitation and replication of the project results after its official completion.
  • Obtain feedback from the end-users and interested stakeholders throughout the whole project implementation duration and optimize all project developments, so as to directly address critical needs of end-users, building occupants and relevant stakeholders involved in the operation of the MOEEBIUS optimization framework.

The workshops will be organized in a variety of buildings (office, retail, educational, sports, residential, hotel) and building blocks under different environmental, social and cultural contexts in three dispersed geographical areas: London in UK, Mafra in Portugal and Belgrade in Serbia. 

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Thursday, March 21, 2019


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