Buildings are increasingly generating heterogeneous and raw data from several sources. Appropriate use of data can lead to more efficient use of the building assets in terms of energy efficiency, occupants’ comfort and better building design. Data can also effectively support building retrofit decisions as well as designing and evaluating energy policies.
Our focus is to design tools and analyze data for buildings to optimize energy use. These tools have been being developed during years in several international R&D projects like EDI_Net or Sherpa, or through the Spin-off Inergy.
Big data analytics for energy efficiency in buildings
BEE Group develops building energy models, energy management practices, web services and monitoring devices.
Development of data driven models to get insights of the energy performance of huge amounts of buildings in real operation conditions
DEFINITION
System requirements and analysis of building existing data
DESIGN
System architecture, data automation manager and data-driven algorithms
IMPLEMENTATION
Hardware and software of the system, calibration and fine tunning
ANALYSIS
System performance with optimization of developments and procedures to improve system use
Research projects
IKNOS ENERGY
2024-2025
Descarbonització d’edificis comercials a través de solucions intel·ligents per l’optimització de l’ocupació i el consum energètic
EN-TRACK
2020-2023
Energy Efficiency Performance-Tracking Platform for Benchmarking Savings and Investments in Buildings
SENSEI
2019-2022
Smart energy services integrating the multiple benefits from improving the energy efficiency of the European building stock
SHERPA
2016-2019
Shared knowledge for Energy renovation in buildings by Public Administrations
