Decarbonization of cities through data-driven intelligence
BEE Group-CIMNE
BEE Group Research Lines
Statistical learning methods for energy assessment in buildings with applications at different geographic levels
IA Applications in cities for decarbonisation
Climate Ready BCN
Decarbonization of cities through data-driven intelligence
Housing climate vulnerability map
1. Data at building level
2. Data at census tract level
3. Data at postal code level
Decarbonization of cities through data-driven intelligence
Big data analytics for energy efficiency in commercial buildings
Several projects providing data and requiring analytics:
- 5,000 public buildings of Generalitat (ICAEN)
- 400 remotely controlled of Generalitat managed by infraestructures.cat
- 1,000 public buildings in Bulgaria
- 377 public buildings in the Czech Republic
- 2,000 public buildings in Greece
- 4,800 CUPS of public facilities in 67 municipalities in the Province of Girona
- 70,000 residential buildings from BCN
Large amounts of data to process
Big data analytics for EE in buildings
Decarbonization of cities through data-driven intelligence
Big data analytics for EE in buildings
A data processing IT infrastructure is required
Decarbonization of cities through data-driven intelligence
Smart grids and Demand Response at the district level
Smart grids and DR in districts
BEE Group Research Lines
- User consumption modelization (aggregated)
- RLS Models with autoregresives and weather inference
- Low voltage electric grid modeling
- Electric models (detection of non-technical losses
- Optimization and DR in energy communities with centralized batteries
- Demand respond services to increase the flexibility of the low voltage grid
Centralized battery in a Low Voltage grid
BEE Group Research Lines
Smart grids and DR in districts
Thanks for your attention
BEE Group