Analysis: What Does This Simulation Prove?
What this proves: Real household consumption is unpredictable - cooking, heating, appliances
turn on and off randomly throughout the day. This simulation uses pseudo-random consumption (1-6 kW range) over
30 days to verify the system handles highly variable loads without errors or incorrect peak tracking. The system
must reliably identify the true top peaks even when consumption fluctuates significantly. This proves the algorithm
is robust enough for real-world deployment where patterns are never perfectly predictable.
Detected Peak Average
5.6 kW
Top 3 peaks averaged
Highest Peak
5.90 kW
Maximum recorded
Est. Monthly Cost*
280 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 280 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
112-140 SEK/month.
| Peak # |
Date |
Hour |
Power (kW) |
| 1 |
2024-03-01 |
17:00 |
5.90 |
| 2 |
2024-03-01 |
12:00 |
5.78 |
| 3 |
2024-03-01 |
13:00 |
5.09 |
*Estimated using typical Swedish effekttariff rate of ~50 SEK/kW/month. Actual rates vary by provider.