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 / Lombardi, Patrizia; Acquaviva, Andrea; Macii, Enrico; Osello, Anna; Patti, Edoardo; Sonetti, Giulia - In: Demand-Driven Web Services: Theory, Technologies and Applications / Zhaohao Sun and John Yearwood. - [s.l] : IGI Global, USA, 2014. - ISBN 9781466658844. - 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
LOMBARDI, PATRIZIA;ACQUAVIVA, ANDREA;MACII, Enrico;OSELLO, Anna;PATTI, EDOARDO;SONETTI, GIULIA
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.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2524093
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