Big data analytics for energy efficiency in buildings

Research Lines

Big data analytics for energy efficiency in buildings

Innovation Unit

Building, Energy and Environment (BeeGroup)

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We have long-standing experience in applying big data and AI to energy simulation and management, leveraging the power of web services and monitoring solutions in residential, commercial, and industrial buildings to optimize consumption.

Buildings are increasingly generating heterogeneous and raw data from several sources, which must be stored, processed and analysed accordingly. The appropriate use of this data can lead to a more efficient use of building assets in terms of energy efficiency, occupant comfort, and better building design. Data can also effectively inform decisions regarding the retrofitting of buildings, as well as the design and evaluation of energy policies.

Our focus is on designing tools and analysing data to optimise energy use in buildings. These tools have been developed over several years through international R&D projects such as EDI_Net and Sherpa, and through the spin-off company Inergy.

BEE Group develops building energy models, energy management strategies, web services and monitoring devices. We create data-driven models to analyse the energy performance of large portfolios of buildings under real operating conditions.