Estimate your annual savings with Driivz Dynamic Peak Shaving
Adjust the inputs below to model how Driivz Energy Management System (EMS) reduces peak demand at your charging sites – and the financial impact across your network.
Based on BNEF analysis of 27 DC sites (Sweden & Norway, 2025) — DPS* is active for approximately 3.5 hours/week during peak windows. All other sessions run at full speed.
Target power: — kW · Peak reduction: — kW ·
Profit-maximizing target for this configuration: — kW (—)
Step 1 — Site capacity & average load
Total capacity = chargers × power per charger. Average load = capacity × utilization %.
Step 2 — Estimating peak demand without DPS*
DC chargers draw full rated power the moment a vehicle connects. Even at low average utilization, coincident arrivals create sharp 15-minute demand spikes that trigger billing. Based on BloombergNEF analysis of 27 DC public charging sites (Sweden & Norway, 2025), the 1-minute peak demand approaches a significant fraction of total installed charger capacity:
| Utilization | Peak coincidence factor | Meaning | DPS-active hrs/week |
|---|---|---|---|
| ≤ 5% | 35% of total capacity | Sparse, very spiky arrivals | ~0.5 hrs |
| 10% | 50% of total capacity | Low-utilization public DC | ~1.0 hrs |
| 15% | 57% of total capacity | BNEF baseline (340 kW peak / 600 kW installed) | ~1.5 hrs |
| 20% | 63% of total capacity | Growing site | ~2.0 hrs |
| 30% | 74% of total capacity | High-utilization site | ~2.8 hrs |
| 50%+ | 85–88% of total capacity | Near-capacity operation | ~4.0 hrs |
Peak without DPS = min(total charger capacity × coincidence factor, max site power)
Changing the number of chargers, power per charger, or max site power all directly affect this value.
Step 3 — Target power presets
Minimal = 80% · Moderate = 70% · Balanced = 60% · Strong = 50% · Maximal savings = 40% — all as a fraction of max site power. The target is floored above average consumption (×1.05) so DPS never fully blocks charging, and capped just below the natural peak to ensure measurable savings.
Step 4 — Profit model
The calculator maximizes profit = revenue − expenses, where revenue comes from selling kWh to drivers, and expenses are grid energy cost plus demand charges.
Demand charge saving = (peak without DPS − target) × rate/kW per month.
Clipped energy: a load-duration curve — calibrated so hours above 90% of peak match the BNEF measurements — estimates how many kWh fall above the target each month: Eclip(T) = H₀ · (peak − T)³ / (3 · (peak − avg)²). About 85% of clipped energy is recovered later in the same sessions (deferred); ~15% is genuinely lost when drivers depart before completion.
Revenue impact = lost kWh × (driver price − grid price) — the charging margin sacrificed.
Net benefit = demand charge saving − revenue impact. Lowering the target increases demand savings linearly but increases clipped energy cubically — so there is a profit-maximizing target, which the calculator finds by scanning all feasible targets and reports alongside your selected preset.