Data foundation

CO₂ emissions are derived from resource consumption data in the portfolio, categorized as follows:

Collected Data: Historical consumption data, initially uploaded to the BuildingMinds Platform, can be metered or invoice-based. If not provided monthly, the platform divides values into months and applies vacancy and weather normalization.

Estimated Data: Data estimations, whether from your organization, a third party, or BuildingMinds, to fill gaps in collected data.

Projected Data: Last available historical consumption data from one calendar year, projected into future years up to 2050.

Retrofitted Data: Future retrofits are included in projected values from the planned year, while past retrofits are not considered since their CO₂ emission savings are already in historical data.

Process 

BuildingMinds processes your data on the BuildingMinds Platform through the following steps:

1. Data is organized into calendar months, either splitting or aggregating it based on the provided data.

2. Vacancy normalization is applied for periods with more than 5% vacancy.

3. Heating degree days, specific to the building's location, are used for normalising heating energy consumption data.

4. Data gaps are checked, and if present, BuildingMinds provides data estimations.

Calendarize resource consumption invoices

If data is provided in form of invoices usually the billing period does not match the calendar month. To calculate the total amount per calendar month the following steps are performed.

1. Calculate the number of days in the billing period.

   Note

   If billing periods of invoices overlap by one day remove the last day for the calculation.

2. Determine the value per day by dividing the total amount of consumption or price by the days of the billing period.

3. Determine the number of days for the calendar month for each invoice.

4. Multiply the number of days by the value per day.

5. Add the values for the calendar month.

Example: Calendarize resource consumption bills