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.
Web and cloud management for building energy reduction: toward a smart district information modeling / Zhaohao Sun and John Yearwood; LOMBARDI, PATRIZIA; ACQUAVIVA, ANDREA; MACII, Enrico; OSELLO, Anna; PATTI, EDOARDO; SONETTI, GIULIA. - STAMPA. - (2014), pp. 340-355. [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.