An inversion strategy for energy saving in smart building through wireless monitoring

The building plants represent one of the main sources of power consumption and of greenhouse gases emission in urban scenarios. The efficiency of energy management is also related to the indoor environmental conditions that reflect on the user comfort. The constant monitoring of comfort indicators e...

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Bibliographic Details
Published in:Journal of physics. Conference series 2017-10, Vol.904 (1), p.12003
Main Authors: Anselmi, N, Moriyama, T
Format: Article
Language:English
Subjects:
Energy management
Environmental monitoring
Greenhouse gases
Indoor environments
Physics
Power consumption
Support vector machines
Thermal comfort
Wireless sensor networks
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Summary:The building plants represent one of the main sources of power consumption and of greenhouse gases emission in urban scenarios. The efficiency of energy management is also related to the indoor environmental conditions that reflect on the user comfort. The constant monitoring of comfort indicators enables the accurate management of building plants with the final objective of reducing energy waste and satisfying the user needs. This paper presents an inversion methodology based on support vector regression for the reconstruction and forecasting of the thermal comfort of users starting from the indoor environmental features of the building. The environmental monitoring is performed by means of a wireless sensor network, which pervasively measures the spatial variability of indoor conditions. The proposed system has been experimentally validated in a real test-site to assess the advantages and the limitations in supporting the management of the building plants towards energy saving.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/904/1/012003