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Big Data Value Chain: Multiple Perspectives for the Built Environment.

Authors :
Hernández-Moral, Gema
Mulero-Palencia, Sofía
Serna-González, Víctor Iván
Rodríguez-Alonso, Carla
Sanz-Jimeno, Roberto
Marinakis, Vangelis
Dimitropoulos, Nikos
Mylona, Zoi
Antonucci, Daniele
Doukas, Haris
Source :
Energies (19961073); Aug2021, Vol. 14 Issue 15, p4624-4624, 1p
Publication Year :
2021

Abstract

Current climate change threats and increasing CO<subscript>2</subscript> emissions, especially from the building stock, represent a context where action is required. It is necessary to provide efficient manners to manage energy demand in buildings and contribute to a decarbonised future. By combining new technologies, such as artificial intelligence, Internet of things, blockchain, and the exploitation of big data towards solving real life problems, the way could be paved towards smart and energy-aware buildings. In this context, the aim of this paper is to present a critical review and an in-detail definition of the big data value chain for the built environment in Europe, covering multiple needs and perspectives: "policy", "technology" and "business", in order to explore the main challenges and opportunities in this area. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19961073
Volume :
14
Issue :
15
Database :
Complementary Index
Journal :
Energies (19961073)
Publication Type :
Academic Journal
Accession number :
151784745
Full Text :
https://doi.org/10.3390/en14154624