1. DATABASE
Our database comprises automatically collected energy consumption data from 400,000+ assets owned or occupied by our clients using Deepki. The consumption of a building is taken into account as a whole, even for private areas.
2. QUALITY CONTROL
Our expertise in the real estate sector, its energy consumption habits and our knowledge in statistics and data science allows us to perform in-depth quality control in order to get perfect data coverage.
3. AGGREGATION
The diversity of the buildings monitored by our clients in Deepki, both in terms of commercial usage and energy consumption, ensures that the aggregation of the typologies used for the ESG Index is the most representative of the European commercial real estate market.
E.g. dry & cold
warehouses
E.g. hotels of all categories & camping
E.g. high, middle & low rise offices
E.g. hospital, senior housing, residential care
E.g. collective housing
E.g. shopping center, supermarket, non-food store
For regional aggregates (e.g., Benelux, Europe), GDP is used as an allocation key.
4. CONVERSION
By collecting real energy consumption data at the meter level, the exact energy mix of each building can be known and enables us to produce very precise conversions in primary energy and CO2eq emissions, using internationally recognized emission factors (e.g. IEA) and national primary energy factors.