Improving energy efficiency (EE) in buildings may significantly reduce the environmental impact of buildings as well as may result in a financial cost saving to consumers. With this contest, ENEA has developed an innovative intelligent sensing system, @lisee, for achieving energy efficiency in buildings (households, officies, campus, data centers, etc.) by a real time, distributed and continued monitoring of not only energy usage by all electrical devices but also safety and operative conditions of the several building settings, making the users aware and enabling user-controlled policies for electrical appliances. The proposed system consists in an multi-level architecture of intelligent wireless multi-sensor network realized by ZigBee-compliant and mesh based topology and sensor nodes for measuring power usage of any electric devices, locally estimating indoor air quality, controlling housing comfort and evaluating EE performance in data center. The gathered data are mining by sensor fusion techniques and modeling for building global power consumption profiles and 3D images of the sensed environment. © 2014 Springer Science+Business Media.

Innovative system and method for monitoring energy efficiency in buildings

Di Francia, G.;De Vito, S.;Fattoruso, G.
2014

Abstract

Improving energy efficiency (EE) in buildings may significantly reduce the environmental impact of buildings as well as may result in a financial cost saving to consumers. With this contest, ENEA has developed an innovative intelligent sensing system, @lisee, for achieving energy efficiency in buildings (households, officies, campus, data centers, etc.) by a real time, distributed and continued monitoring of not only energy usage by all electrical devices but also safety and operative conditions of the several building settings, making the users aware and enabling user-controlled policies for electrical appliances. The proposed system consists in an multi-level architecture of intelligent wireless multi-sensor network realized by ZigBee-compliant and mesh based topology and sensor nodes for measuring power usage of any electric devices, locally estimating indoor air quality, controlling housing comfort and evaluating EE performance in data center. The gathered data are mining by sensor fusion techniques and modeling for building global power consumption profiles and 3D images of the sensed environment. © 2014 Springer Science+Business Media.
9781461438595
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12079/4560
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