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Web and Cloud Management for Building Energy Reduction: Toward a Smart District Information Modelling
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Author(s): Patrizia Lombardi (Politecnico di Torino, Italy & Università di Torino, Italy), Andrea Acquaviva (Politecnico di Torino, Italy), Enrico Macii (Politecnico di Torino, Italy), Anna Osello (Politecnico di Torino, Italy), Edoardo Patti (Politecnico di Torino, Italy)and Giulia Sonetti (Politecnico di Torino, Italy & Università di Torino, Italy)
Copyright: 2014
Pages: 16
Source title:
Handbook of Research on Demand-Driven Web Services: Theory, Technologies, and Applications
Source Author(s)/Editor(s): Zhaohao Sun (University of Ballarat, Australia & Hebei Normal University, China)and John Yearwood (Federation University, Australia)
DOI: 10.4018/978-1-4666-5884-4.ch016
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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 presented in this chapter 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 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.
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