Smart Buildings: Systems and Drivers
Author(s): |
Mariangela Monteiro Froufe
Christine Kowal Chinelli André Luis Azevedo Guedes Assed Naked Haddad Ahmed W. A. Hammad Carlos Alberto Pereira Soares |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 19 August 2020, n. 9, v. 10 |
Page(s): | 153 |
DOI: | 10.3390/buildings10090153 |
Abstract: |
Since the 1980s, smart buildings have aroused the interest of researchers. However, there is still no consensus on what the intelligence of a building is, and what enhances that intelligence. The purpose of this paper is to identify and correlate the main drivers and systems of smart buildings, by associating them with the main beneficiaries: users, owners, and the environment. To identify the main drivers and systems of these buildings, we carried out a comprehensive, detailed, and interpretative literature search. From the selected articles, we sorted the information, extracted the main concepts and knowledge, and, finally, identified the set of potential drivers and systems. Results showed eleven drivers and eight systems, and these can be enhanced by more than one driver. By analyzing the main beneficiaries, we grouped the drivers into three categories: users, owners, and the environment. Given the lack of consensus on the key drivers that make buildings smarter, this article contributes to filling this gap by identifying them, together with the key systems. It is also relevant for detecting the relationships between drivers and systems, and pointing out which drivers have the greatest potential to affect a particular system, keeping in mind the main beneficiary. |
Copyright: | © 2020 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
2.68 MB
- About this
data sheet - Reference-ID
10434736 - Published on:
11/09/2020 - Last updated on:
02/06/2021