Wireless Sensors and IoT Platform for Intelligent HVAC Control
| Autor: | Pedro M. Ferreira, António E. Ruano, S. Silva, Helder Duarte |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
System
0209 industrial biotechnology Schedule Computer science 020209 energy 02 engineering and technology lcsh:Technology 7. Clean energy lcsh:Chemistry 020901 industrial engineering & automation Models HVAC 0202 electrical engineering electronic engineering information engineering model-based predictive control Wireless General Materials Science Buildings lcsh:QH301-705.5 Instrumentation Building automation Fluid Flow and Transfer Processes lcsh:T business.industry Process Chemistry and Technology General Engineering Thermal comfort wireless sensors IoT platforms smart buildings HVAC systems Energy consumption lcsh:QC1-999 Computer Science Applications Reliability engineering Thermal Comfort Model predictive control Predictive Control Neural-Networks lcsh:Biology (General) lcsh:QD1-999 lcsh:TA1-2040 Electricity lcsh:Engineering (General). Civil engineering (General) business lcsh:Physics |
| Zdroj: | Applied Sciences; Volume 8; Issue 3; Pages: 370 Applied Sciences, Vol 8, Iss 3, p 370 (2018) Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
| ISSN: | 2076-3417 |
| DOI: | 10.3390/app8030370 |
| Popis: | 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. QREN SIDT [38798]; Portuguese Foundation for Science & Technology, through IDMEC, under LAETA [ID/EMS/50022/2013] |
| Databáze: | OpenAIRE |
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