The IMBPC HVAC system: Wireless Sensors and IoT Platform

被引：10

作者：

Silva, S. ^{[1
]}

Ruano, A. ^{[2
,3
]}

机构：

[1] Univ Algarve, Ctr Empresarial Gambelas, EasySensing Intelligent Syst, P-8005139 Faro, Portugal

[2] Univ Algarve, Fac Sci & Technol, Faro, Portugal

[3] Univ Lisbon, Inst Super Tecn, IDMEC, Lisbon, Portugal

来源：

IFAC PAPERSONLINE | 2018年 / 51卷 / 10期

关键词：

Model-Based Predictive Control; Wireless Sensors; IoT platforms; THERMAL COMFORT; PREDICTIVE CONTROL; BUILDINGS;

D O I：

10.1016/j.ifacol.2018.06.227

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Model Based Predictive Control (MBPC) is perhaps the most proposed technique for HVAC control, since it offers an enormous potential for energy savings. Despite the large number of papers in this topic during the last 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 IBMPC HVAC system. This paper focuses on two components of this integrated system, the Self-Powered Wireless Sensors and the IoT platform developed. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：1 / 8

页数：8

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