TDR Band Optimiser
Analyse whether your clients could save money by reducing their MIC to move to a lower TDR band. With RIIO-3 rates nearly doubling from April 2026, this is the time to act.
Your clients are probably paying too much for TNUoS
TDR (Transmission Demand Residual) charges are based on agreed capacity, not actual usage. Many businesses have MICs set years ago that far exceed their actual peak demand. With RIIO-3 rates nearly doubling from April 2026, oversized capacity is about to get very expensive.
Use Cases
When to use this tool
Oversized MIC Review
Compare agreed capacity against actual maximum demand to find MIC reduction opportunities.
RIIO-3 Preparation
Show clients how TDR charges will change in April 2026 and what they can do now to minimise impact.
New Business Development
Demonstrate value to prospective clients by showing the savings potential you can unlock.
Portfolio-Wide Analysis
Identify the biggest TDR savings opportunities across a portfolio of client sites.
DNO Capacity Request
Build a data-backed case for requesting MIC reduction from the DNO.
How It Works
Enter your MPAN
We detect voltage level automatically
Add capacity details
MIC from connection agreement
Enter max demand
Your actual peak usage in kW
Review savings
See optimal band and annual savings
What You'll Get
Current vs Optimal Band Comparison
See exactly which TDR band you should be in based on actual demand, with clear savings figures.
Target MIC Recommendation
Get a recommended MIC value that maintains a safety margin above peak demand.
RIIO-3 Impact Analysis
Compare current rates with April 2026 rates to understand the urgency of acting now.
3-Year Savings Projection
See cumulative savings over 3 years with year-by-year breakdown - perfect for client proposals.
Built on official data
We calculate using the same published rates DNOs use
Quick Answers
“What is TDR and why does it matter?”
TDR (Transmission Demand Residual) is a fixed daily charge based on your agreed capacity. Many businesses have MICs set years ago that are much higher than their actual demand, meaning they overpay significantly.