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.
Highlights
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations
It is necessary to understand what technologies and solutions already exist, as well as how existing methods, processes, data models, and platforms could be exploited in the building sector
Technology perspective: this perspective focuses on frameworks, architectures, and datasets that are currently present and could support the Big Data Value Association (BDVA)
Summary
More and more data are being generated, taking into consideration the increasing adoption of information and communication technologies (ICT), such as artificial intelligence (AI), Internet of things (IoT), and distributed ledger technology (DLT)/blockchain [1]. By combining these new technologies and the exploitation of big data towards solving real life problems surrounding buildings, the way could be paved towards a decarbonised future [2]. A discrepancy between predicted and actual performance is unavoidable, solutions are necessary to explain and narrow this gap to make more accurate forecasts and reduce energy demand as much as possible
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