Downtime Detection - Tests the downtime detection feature with a simulated data gap.
Analysis: What Does This Simulation Prove?
What this proves: Real systems experience outages - Node-RED restarts, network issues,
sensor failures. During downtime, the system can't track peaks, which could lead to unexpected high bills.
This simulation includes a 5-hour data gap on day 2 (05:00-10:00 with 0W readings) to test downtime detection.
When configured, the system logs warnings about missing data periods, alerting you to potential blind spots
in peak tracking. This awareness helps you take corrective action if needed.
Detected Peak Average
4 kW
Top 3 peaks averaged
Highest Peak
4.00 kW
Maximum recorded
Est. Monthly Cost*
200 SEK
Effektavgift portion
Why No Savings? This simulation has no battery configured. The effekttariff node outputs a
current limit signal, but without a battery to discharge, there's nothing to cover the difference when
consumption exceeds the limit. The grid must supply all power, so peaks cannot be reduced.
What This Shows: The system correctly tracks your top 3 peaks during
peak hours and calculates your effektavgift at approximately 200 SEK/month.
This monitoring alone is valuable for understanding your consumption patterns.
To Actually Reduce Peaks: You need a battery that can discharge during high-consumption moments.
The node tells your ESS "limit grid to X amps" - the battery covers the rest. See the batteryCharging
scenario for a 40-50% reduction example, potentially saving
80-100 SEK/month.
| Peak # |
Date |
Hour |
Power (kW) |
| 1 |
2024-03-01 |
17:00 |
4.00 |
| 2 |
2024-03-02 |
17:00 |
4.00 |
| 3 |
2024-03-03 |
17:00 |
4.00 |
*Estimated using typical Swedish effekttariff rate of ~50 SEK/kW/month. Actual rates vary by provider.