Modelling Optimization of Energy Efficiency in Buildings for Urban Sustainability

Project Summary

MOEEBIUS aims to improve District Energy Performance Predictability by People Behaviour and demand Modelling to facilitate new ESCO business models.

MOEEBIUS introduces a Holistic Energy Performance Optimization Framework that enhances current (passive and active building elements) 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.



Main Objectives of Project

MOEEBIUS main objective is Advancing the capabilities of current Building and District Energy Performance Simulation Tools, to enable accurate predictions through addressing current modelling and measurement & verification inefficiencies.

MOEEBIUS project goal is to minimize the Performance Gap.

Nimbus Role


The People Behaviour & Technology Integration group at Nimbus Centre is providing User Engagement Monitoring and Modelling along with Predictive Control Algorithms as part of the building control strategies, as well as an adaptive building maintenance VR environment.

  1. Tecnalia Research & Innovation (Spain)

  2. Honeywell, SPOL. S.R.O (Czech Republic)

  3. Hypertech Energy Labs (Greece)

  4. Cork Institute of Technology (Ireland)

  5. Solintel M&P SL (Spain)

  6. Tyndall National Institute (Ireland)

  7. Alemende B.V. (The Netherlands)

  8. TH Nürnberg (Germany)

  9. Belit – Belgrade Information Technologies (Serbia)

  10. KiWi Power Ltd. (U.K.)

  11. Instituto de Soldadura e Qualidade (Portugal)

  12. Grindrop Ltd. (U.K.)

  13. Beogradske elektrane (Serbia)

  14. Municipio de Mafra (Portugal)

  15. ASM – Market Research and Analysis Centre Ltd. (Poland)

Funding Body

This project has receievd funding from the European Unions’s Horizon 2020 research and innovation programme under grant agreement No 680517.T

Project Start Date: 01 November 2015

Duration: 48 months


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