Big Data Value Chain: Multiple Perspectives for the Built Environment

Author:

Hernández-Moral GemaORCID,Mulero-Palencia Sofía,Serna-González Víctor Iván,Rodríguez-Alonso Carla,Sanz-Jimeno Roberto,Marinakis VangelisORCID,Dimitropoulos Nikos,Mylona Zoi,Antonucci Daniele,Doukas HarisORCID

Abstract

Current climate change threats and increasing CO2 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.

Funder

European Commission

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)

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