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research article

Towards the next generation of intelligent building: An assessment study of current automation and future IoT based systems with a proposal for transitional design

Lilis, Georgios  
•
Conus, Gilbert  
•
Asadi, Nastaran  
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2017
Sustainable Cities And Society

The intelligent building, a major smart city research and development domain, has grown beyond the scope of automation, currently focusing on the occupant centered approaches and the ancillary services offered to the power grid. The Internet of Things (IoT) introduced in the recent years are enabling those prospects. However, due to numerous legacy automation systems already in the construction market, the IoT based intelligent building approach is frequently challenged. This paper assesses the opportunities along with the criticism for a fully IoT enabled and controllable intelligent building against the well established, legacy automation systems in a fair and transparent approach. In the second part, it proposes an interoperable intelligent building design for the creation of advanced building managements schemes, by integrating the assets of current automation tools and the emerging innovations. This unification and the progressive phasing out of legacy technologies, would catalyze the market of intelligent buildings in the context of smart cities by not limiting their potential solely on new constructions and by mitigating the investment if legacy systems are already installed. (C) 2016 Elsevier Ltd. All rights reserved.

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Type
research article
DOI
10.1016/j.scs.2016.08.019
Web of Science ID

WOS:000389322700044

Author(s)
Lilis, Georgios  
•
Conus, Gilbert  
•
Asadi, Nastaran  
•
Kayal, Maher  
Date Issued

2017

Publisher

Elsevier Science Bv

Published in
Sustainable Cities And Society
Volume

28

Start page

473

End page

481

Subjects

Smart cities

•

Smart grid

•

Smart building

•

Intelligent building

•

Building management system

•

Internet of Things

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ELAB  
Available on Infoscience
January 24, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/133484
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