ICT is recognized as being a key player against climate change: pervasive sensors and actuators can efficiently control the whole energy chain. On the other side, advances on 3D modelling, visualization and interaction technologies enable user profiling and real-time feedback to promote energy efficient behaviours. The study here presented illustrates the development of a web-service oriented, open platform with capabilities of real-time district level data processing and visualization. The platform will allow open access with personal devices and A/R visualization of energy-related information to client applications for energy and cost-analysis, tariff planning and evaluation, failure identification and maintenance, energy information sharing. The expected results are a consistent reduction in both energy consume and CO2 emissions by enabling a more efficient energy distribution policies, according to the actual characteristics of district buildings and inhabitants as well as a more efficient utilization and maintenance of the energy distribution network, based on social behaviour, users lifestyles and singular demands.
Lombardi, P., Acquaviva, A., Macii, E., Osello, A., Patti, E., Sonetti, G. (2014). Web and cloud management for building energy reduction: toward a smart district information modeling. Pennsylvania : IGI Global, USA [10.4018/978-1-4666-5884-4.ch016].
Web and cloud management for building energy reduction: toward a smart district information modeling
ACQUAVIVA, ANDREA;
2014
Abstract
ICT is recognized as being a key player against climate change: pervasive sensors and actuators can efficiently control the whole energy chain. On the other side, advances on 3D modelling, visualization and interaction technologies enable user profiling and real-time feedback to promote energy efficient behaviours. The study here presented illustrates the development of a web-service oriented, open platform with capabilities of real-time district level data processing and visualization. The platform will allow open access with personal devices and A/R visualization of energy-related information to client applications for energy and cost-analysis, tariff planning and evaluation, failure identification and maintenance, energy information sharing. The expected results are a consistent reduction in both energy consume and CO2 emissions by enabling a more efficient energy distribution policies, according to the actual characteristics of district buildings and inhabitants as well as a more efficient utilization and maintenance of the energy distribution network, based on social behaviour, users lifestyles and singular demands.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
