Rocco Giudice
Definition of a data analytics-based energy benchmarking process for prioritizing energy management strategies for stocks of buildings.
Rel. Alfonso Capozzoli, Marco Savino Piscitelli, Roberto Chiosa. Politecnico di Torino, Master of science program in Energy And Nuclear Engineering, 2022
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Abstract
The building sector is one of the world's top users of primary energy. According to the International Energy Agency (IEA), buildings account for around 21\% of total final energy consumption in EU member nations. As a result, the building sector is currently one of the most strategic targets for reducing total energy consumption and improving energy efficiency in order to meet stringent decarbonization objectives. In recent years, the development of Internet of Things (IoT) and Information and Communication Technologies (ICT) has made it possible to collect huge amount of building related-data de facto increasing valuable knowledge resources to guide experts and decision-makers in a multitude of energy management tasks.
Among these, the analysis of energy consumption time series in large buildings is one of the application areas that is experiencing continuous innovation and refinements, especially for what concerns the birth of automatic tools for the development of energy benchmarking systems
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