Smaller municipalities must also submit their heat planning by June 2028 at the latest. This can only work if the database is comprehensive and reliable. The following play an important role here location twinsi.e. digital images of the individual towns and municipalities.
It is to be expected that ecosystems will form around the individual municipalities and municipal utilities with the primary aim of creating a reliable database for the heating transition . The most important local data, such as consumption, is already held by the municipal utilities. However, relevant basic data such as building characteristics, socio-demographic data or cadastral data can usually be obtained more easily and quickly from an external service provider. Nexiga is one of the relevant sources of this database.
Internal data procurement processes often cause higher costs than purchasing the necessary dataexternally. In addition, heat planning often has to be created for a larger supply area for which no real data is yet available internally, meaning that external suppliers have to step in.
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- A reliable data set is essential for analyzing heating needs, evaluating supply options, and implementing concrete measures to reduce carbon emissions.
Why Data Quality Matters
To successfully plan for heating, municipalities need detailed information at the building level. This includes, among other things:
- Heating requirements and energy consumption
- Building types, years of construction, and types of use
- Heating Systems and Energy Sources
- Population and land-use patterns
Only when this data is complete and linked together can realistic scenarios be developed for heating networks, renovation measures, or alternative supply solutions.
- Lessons learned from municipal heating transition projects can help accelerate the process. This way, municipalities don’t have to reinvent the wheel when planning and can benefit from the experiences and approaches that others have already developed.
Data foundation for municipal heat planning
Nexiga supports municipalities and energy providers in collecting and processing relevant energy data. With an extensive database of building information and innovative analytical methods, Nexiga provides a reliable foundation for heating planning.
These include, among other things:
- House-level geographic coordinates for precise spatial analysis
- Building-specific information such as type of use, year of construction, and structure
- Derived metrics such as heat demand or heated area
- Structural data such as the number of households and commercial units per building
This data allows for a detailed analysis at Municipality or ZIP code level and provides the basis for informed decisions.
From Data Collection to Implementation
By combining data integration, modeling, and visualization, you can:
- Identify heat demand clusters
- Identify opportunities for district heating networks or decentralized solutions
- Safeguarding investment decisions
- meet legal requirements efficiently
Conclusion
Data collection is the first and most critical step in municipal heat planning. With a structured, comprehensive data set—such as the one provided by Nexiga—municipalities and energy companies can strategically plan and sustainably implement the energy transition.
