Objective
MOEEBIUS introduces a Holistic Energy Performance Optimization Framework that enhances current (passive and active building elements) modelling approaches and delivers innovative simulation tools which (i) deeply grasp and describe real-life building operation complexities in accurate simulation predictions that significantly reduce the “performance gap” and, (ii) 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 MOEEBIUS Framework comprises the configuration and integration of an innovative suite of end-user tools and applications enabling (i) Improved Building Energy Performance Assessment on the basis of enhanced BEPS models that allow for more accurate representation of the real-life complexities of the building, (ii) Precise allocation of detailed performance contributions of critical building components, for directly assessing actual performance against predicted values and easily identifying performance deviations and further optimization needs, (iii) Real-time building performance optimization (during the operation and maintenance phase) including advanced simulation-based control and real-time self-diagnosis features, (iv) Optimized retrofitting decision making on the basis of improved and accurate LCA/ LCC-based performance predictions, and (v) Real-time peak-load management optimization at the district level.
Through the provision of a robust technological framework MOEEBIUS will enable the creation of attractive business opportunities for the MOEEBIUS end-users (ESCOs, Aggregators, Maintenance Companies and Facility Managers) in evolving and highly competitive energy services markets. The MOEEBIUS framework will be validated in 3 large-scale pilot sites, located in Portugal, UK and Serbia, incorporating diverse building typologies, heterogeneous energy systems and spanning diverse climatic conditions.
Fields of science
- social scienceseconomics and businessbusiness and managementbusiness models
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesbiological sciencesecologyecosystems
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
- social scienceseconomics and businessbusiness and managementcommerce
Keywords
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
20009 DONOSTIA-SAN SEBASTIAN (GIPUZKOA)
Spain
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Participants (15)
14800 Praha
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15232 Chalandri Athina
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
T12 P928 Cork
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28514 NUEVO BAZTAN MADRID
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
T12 YN60 Cork
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3013 AK Rotterdam
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Participation ended
80686 Munchen
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11000 Beograd
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
N3 1XW London
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2740 120 Porto Salvo
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SL4 1TG Windsor
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
11070 Beograd
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2644-001 Mafra
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99 301 Kutno
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
90489 Nurnberg
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