Abstract

Building automation and control systems (BAS) have become a common part of non-residential buildings in the past decades. However, many automation systems rely on severely outdated technology that render it challenging, if not impossible, to implement recently developed, advanced building control approaches. By contrast, recent developments in cloud computing and wireless technology could support solutions to these challenges. However, many stakeholders require a suitable methodology to determine the potentials and the requirements of future, possibly next generation BAS. In this paper, we thus present and apply a method to answer the open questions and define minimum requirements. For that end, we investigate available communication technologies, protocols, and interfaces. Moreover, we present a simple test bench layout that could serve as a blueprint for future, more comprehensive test benches. It is a model a ventilation circuit consisting of a CO2 sensor for the supply air and an electronic damper. We turned these conventional components with analogue interfaces into IoT devices using a previously developed WiFi gateway. An exemplary test is the control of the CO2 concentration using a feedback controller implemented on an external machine. We aim to extend our initial prototype to a real-life building demonstration for dynamically scalable automation systems using wireless communication and develop our set-up into a platform enabling arbitrarily complex automation strategies and artificial intelligence applications.

Details

Title
Cloud, wireless technology, internet of things: the next generation of building automation systems?
Author
Bode, Gerrit 1 ; Baranski, Marc 1 ; Schraven, Markus 1 ; Kümpel, Alexander 1 ; Storek, Thomas 1 ; Nürenberg, Markus 1 ; Müller, Dirk 1 ; Rothe, Andreas 2 ; Ziegeldorf, Jan Henrik 2 ; Fütterer, Johannes 2 ; Scheuffele, Bernd 3 

 RWTH Aachen University, E.ON Energy Research Center, Institute for Energy Efficient Buildings and Indoor Climate, Mathieustraβe 10, 52072 Aachen, Germany 
 aedifion GmbH, Hohenzollernring 72, 50672 Kϒoln, Germany AutomationOne GmbH 
 Wiesweg 32, 82409 Wildsteig, Germany 
Publication year
2019
Publication date
Nov 2019
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2568053873
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.