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 project is an answer to H2020-EeB-2015 call in the topic: New tools and methodologies to reduce the gap between predicted and actual energy performances at the level of buildings and blocks of buildings.

The main objective of MOEEBIUS project is to introduce a Holistic Energy Performance Optimization Framework that will enhance current modelling approaches and deliver innovative simulation tools which will deeply grasp and describe real-life building operation complexities in accurate simulation predictions that will 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.

The project will be implemented by an international Consortium composing of 15 Partners which represent research institutions, ESCOs, SMEs, universities, public bodies from 10 countries.

On 11th and 12th November 2015 MOEEBIUS project had its Kick-off meeting in Brussels. The project team for the first time met face-to-face in full composition and discussed on the project ambition, objectives and its coordinated implementation, setting up activities and assignments for the following months.

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Saturday, May 27, 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.