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.

 

We are happy to announce that significant portals in the area of green behaviour in building sector - BUILD UPECCA and ECTP - published articles of MOEEBIUS final conference which will be held in next ten days: on 28th of February, in Wels (Austria), in the context of World Sustainable Energy Days 2019

 

Agenda screen

If you are interested in programme of our conference, as well as in core ideas of our project it's easy to obtain any needed information under following links:

BUILD UP: http://buildup.eu/en/news/moeebius-celebrates-projects-final-conference-part-world-sustainable-energy-days-2019

ECCA: http://circularconstruction.eu/2019/02/18/moeebius-celebrates-projects-final-conference-as-part-of-the-world-sustainable-energy-days-2019/

ECTP: http://www.ectp.org/news-events-newsletters/news/news-detail/moeebius-celebrates-projects-final-conference-as-part-of-the-world-sustainable-energy-days-2019/

Everyone interested in reduction of energy use in building sector is welcome to MOEEBIUS final conference - the consortium would be pleased to have you among the audience and share with you the project achievements! 

In order to join us please use the registration link (during your registration process don't forget to fulfil comment field with your remark: "Moeebius workshop"). 

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Wednesday, July 17, 2019

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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.