Steven Braakman
Expert Infra
See grid pressure more clearly.
Understand where electricity demand, solar generation and local capacity meet.
Make better decisions when the grid looks full.
The grid is under pressure. Insight is limited.
Grid congestion slows down the energy transition and local economic development.
Municipalities face waiting lists and rejected requests for new connections or solar installations.
But they often lack detailed insight into actual local grid pressure.
Current congestion maps may show limited capacity, but not always the full local context.
This creates uncertainty:
- Which requests can still move forward?
- Where is the pressure highest?
- Where is there still room?
- What changes when new buildings, solar panels or transformer stations are added?
Without finer insight, decision-making slows down.
From red zones to local insight.
Terramira helps understand grid congestion more precisely.
Not just whether an area is constrained.
But what local factors influence capacity, demand and opportunity.
Model local energy pressure.
We combine building, energy and network-related data to create a more detailed indication of local grid pressure.
We classify buildings by type, size and likely energy demand.
We include local grid structure and transformer locations.
We assess current PV installations and potential peak generation.
We identify where capacity may be constrained or underused.
New buildings, solar installations and network upgrades can be included over time.
More nuance. Faster decisions.
Support economic development
Avoid unnecessary delays where capacity may still exist.
Better planning
Include new buildings, transformers and solar growth in future scenarios.
Periodic monitoring
Track how local grid pressure changes over time.
For local energy decisions
- Municipalities
- Regional energy programs
- Business park development
- Local sustainability teams
- Spatial planning teams
Frequently Asked Questions
Grid congestion monitoring helps identify where electricity demand and generation may exceed local network capacity.
By combining building data, solar PV data, grid context and local capacity indicators.
No. It supports local decision-making with additional spatial insight, but does not replace formal grid operator data.
Solar generation can create peak loads, especially in areas with many rooftop installations and limited local capacity.
Yes. The analysis can be updated as buildings, solar installations and transformer capacity change.
pressure.
See where constraints are real and where opportunities remain.
Steven Braakman
Expert Infra
