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.

 

Innovation in building retrofits for energy efficiency and demand response (January 17th, 2018, London - UK)

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

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42nd World Congress on Housing (10th - 13th April 2018, Naples - Italy)

ASM - Research and Market Analysis Centre will present the MOEEBIUS innovative business models during the 42nd World Congress on Housing (10th - 13th April 2018, Naples - Italy) which is a very good opportunity to disseminate recent advances and discuss future trends towards a more sustainable, innovative and accessible construction industry. The broad scope of the International Association for Housing (IAHS) series of congresses also makes this an excellent place to discuss any issue related to housing science. To read more about the event, please visit http://www.iahs2018.org.

Friday, January 19, 2018

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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.