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Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.

CSR Manager

Municipality of Amsterdam

This algorithm has a low impact. The CSR Manager (CFP Green Buildings) uses various datasets to identify, determine and report on building energy-saving options.

Last change on 26th of November 2024, at 15:39 (CET) | Publication Standard 1.0
Publication category
Other algorithms
Impact assessment
Field not filled in.
Status
In use

General information

Theme

  • Space and Infrastructure
  • Economy

Begin date

Field not filled in.

Contact information

Algoritmen@amsterdam.nl

Responsible use

Goal and impact

The CSR Manager (CFP Green Buildings) uses various datasets to identify, determine and report on buildings' energy-saving options. The advice generated by the application helps the municipality of Amsterdam make its municipal property more sustainable. For each building, it provides insight into the sustainability options, their costs, and the associated CO2 savings.

Considerations

The advice generated by the application helps the municipality of Amsterdam make its municipal property more sustainable. It provides insight per building into the sustainability options, their costs, and the associated CO2 savings.

Human intervention

Assessment of the advice given by the application per building is assessed by one or more employees of the municipality of Amsterdam. The choice of whether or not to make a building sustainable and in what way, is determined by employees of the municipality of Amsterdam itself.

Risk management

The CFP tool is not risky. No personal data are used. The CFP tool focuses on the sustainability measures relating to building components for which the building owner is responsible. In this case, that is the municipality. We set the measures relating to users to 'not applicable'. The tool is in no way compelling users to take measures. We only use it to flesh out the municipality of Amsterdam's responsibility with regard to making municipal real estate more sustainable.

Operations

Data

Benchmark data
Benchmark data from CFP Green Buildings' Expert System is combined with practical experiences (best practices) in engineering, operations, maintenance and management, and data from CFP Green Buildings' partners.

Sources used:

  • Basic Registration of Addresses and Buildings (BAG)
  • EP online for energy labels of buildings
  • Real estate system Municipal Real Estate (Planon)

Data type:
CFP Expert system: The CFP Expert system is a database of benchmark values of buildings with different uses, sizes and construction years. This database is expanded periodically.

Basic Registers of Addresses and Buildings (BAG): The BAG contains basic municipal data on all buildings and addresses in the Netherlands.

EP online = official national database containing energy labels and energy performance indicators of buildings

Planon Real Estate Management . Application for managing all real estate owned by the municipality of Amsterdam

Technical design

Architecture of the model
Based on a building's postcode and house number, the relevant BAG data such as location, year of construction, floor area, the building's use function and, if available, a registered energy label are retrieved. Based on the BAG data, the building is classified into 1 of the 138 different building profiles of the CFP Expert System. For all 138 building profiles, different algorithms apply that estimate characteristics of the building and the building-related installations present. If no registered energy label is found at the EP online registry, an estimate of the energy label is made based on the estimated characteristics and installations. In addition, a sustainability plan is drawn up based on estimated building characteristics and installations.

Performance
The outcomes of the system are periodically tested based on practical experiences of energy consultants, data from partners and public data sources. This involves testing at least the following:

  • Estimated investment per measure
  • Expected savings per measure
  • Expected CO2 reduction per measure
  • Expected energy savings per measure
  • Expected impact on energy label per measure
  • Expected energy label of the building

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