Authors: António Ruano, Sérgio Silva, Helder Duarte and P.M. Ferreira 
 
Journal Title: Applied Sciences
 
ISSN: 2076-3417 (Print)
 
Publisher: MDPI AG
 
Abstract
 
Energy consumption of buildings (residential and non-residential) represents approximately 40% of total world electricity consumption, with half of this energy consumed by HVAC systems. Model-Based Predictive Control (MBPC) is perhaps the technique most often proposed for HVAC control, since it offers an enormous potential for energy savings. Despite the large number of papers on this topic during the last few years, there are only a few reported applications of the use of MBPC for existing buildings, under normal occupancy conditions and, to the best of our knowledge, no commercial solution yet. A marketable solution has been recently presented by the authors, coined the IMBPC HVAC system.
 
This paper describes the design, prototyping and validation of two components of this integrated system, the Self-Powered Wireless Sensors and the IOT platform developed. Results for the use of IMBPC in a real building under normal occupation demonstrate savings in the electricity bill while maintaining thermal comfort during the whole occupation schedule.
 

Picture: Overview of the experimental setup. TCP: Transmission Control Protocol; IP: Internet Protocol. (credits: António Ruano, Sérgio Silva, Helder Duarte and P.M. Ferreira)

 
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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