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.


MOEEBIUS presented during CEVISAMA

Michele Vavallo from Solintel presented MOEEBIUS project during the CEVISAMA 2018 Fair (5th to 9th February 2018). Michele participated in workshop entitled "FROM RESEARCH TO INDUSTRY & FROM INDUSTRY TO MARKET - Technologies and solutions to control and optimize the energy efficiency in buildings and districts".

2ce85924 114f 4d63 8ec3 e4e86fdf6c3d large

Technical meeting in Germany

On January 30th and 31st 2018, THN (Technische Hochschule Nürnberg) hosted a technical meeting with the partners leading MOEEBIUS framework components’ development and the pilot coordinators, in Holzkirchen (Germany).  

                                                   DU38z3VW4AAsXqr.jpg large

MOEEBIUS on "Innovation in building retrofits for energy efficiency and demand response" conference

We are pleased to invite you to the "Innovation in building retrofits for energy efficiency and demand response" conference (London, Wed, January 17, 2018).

The conference and workshop will introduce a novel business model in building retrofit and energy industry, aiming to create synergies between ESCOs and Demand Response service providers. Participants will gain insights into the value chain and product bundling techniques they could benefit from in the future either as supplier or as customers.

Click here to find more about this interesting event

https cdn.evbuc.com images 38493293 149534971521 1 original

Monday, November 19, 2018


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