Datacenter power demand fluctuates violently. AI workloads spike. Training jobs start. Inference scales up. Your grid connection can't handle it.
The result: Demand charge penalties, grid violations, and interconnection violations that shut you down.
We eliminate it. 50% fluctuation reduction. Guaranteed.
The datacenter problem
AI datacenters have a power problem that solar alone can't solve:
- Training workloads: Step-function power changes when jobs start (0 → 5 MW in seconds)
- Inference scaling: Rapid demand variations based on query volume
- Cooling systems: HVAC power that swings with temperature and load
- Grid compliance: ISO/RTO ramp rate limits you're violating right now
The cost is brutal:
- $500K+ annual demand charge penalties from peak spikes
- Grid violations that trigger disconnection warnings
- ISO/RTO non-compliance that blocks capacity expansion
- Frequency regulation failures that destabilize your POI
How we solve it
AI-Powered Battery Energy Management System
Not just batteries. AI that thinks in milliseconds to smooth every demand spike before the grid sees it.
What our BESS EMS does:
- Point of Interconnection (POI) Optimization: AI calculates optimal trajectory and operating bands in real-time
- 50% Fluctuation Reduction: Proven performance on AI datacenter workloads (baseline 0.85 → 0.42 fluctuation factor)
- ISO/RTO Compliance: Automatic frequency regulation, ramp rate control, voltage stability
- Economic Optimization: Real-time energy arbitrage + demand charge shaving that pays for itself
How it works:
- AI forecasts demand over rolling horizon (transformer-based time series models)
- Calculates optimal POI trajectory with operating bands and ramp limits
- Battery dispatches in milliseconds to maintain grid-compliant demand profile
- Learns and adapts to your workload patterns continuously
The business impact
Zero Grid Violations
- Frequency stays within ±0.05 Hz (ISO/RTO requirement)
- Ramp rate under 50 kW/s limit (automatic enforcement)
- Voltage stability maintained at ±5% nominal
- THD under 5% (power quality compliance)
Massive Cost Savings
- 50% demand charge reduction from peak shaving
- Energy arbitrage: charge at $0.04/kWh off-peak, discharge at $0.12/kWh on-peak
- Avoided demand penalties: $247/day typical datacenter
- Grid services revenue when available (frequency regulation, capacity markets)
Expanded Capacity
- Add MW without grid upgrades (battery smooths the load)
- ISO/RTO compliance enables capacity expansion applications
- Proven POI performance accelerates interconnection approvals
The AI difference
Not rule-based control. Intelligence.
Rolling Horizon Optimization:
- Forecasts demand every 60 seconds
- Calculates optimal battery dispatch across 15-minute horizon
- Adjusts for weather, workload patterns, grid constraints, and market prices
SoC/SoH Optimization:
- Keeps battery in 40-80% SoC range (extends life 20-30%)
- Monitors cycle count, depth of discharge, temperature
- Predicts degradation and adjusts dispatch to maximize battery longevity
Economic Dispatch:
- Real-time energy pricing integration
- Demand charge optimization with peak forecasting
- Arbitrage opportunities identified and executed automatically
Proof you can see
Every BESS EMS installation includes:
Live Dashboard:
- POI demand with optimal trajectory and operating bands
- Fluctuation factor (before/after EMS) with 40-50% reduction target
- Grid stability metrics (frequency, voltage, power factor, THD)
- Battery health tracking (SoC, SoH, cycle count, degradation rate)
- Economic performance (arbitrage profit, demand charges saved, LCOS)
Simulation Data:
- 347 charge/discharge cycles executed
- 2,750 kWh charged, 2,530 kWh discharged (92.8% round-trip efficiency)
- $143 daily arbitrage profit + $247 demand charges avoided
- 78.5% time in optimal SoC range (battery life optimization)
The datacenter reality
AI workloads are brutal on the grid. Training jobs create step-function demand changes. Inference scales violently. Cooling systems swing with temperature.
Your options:
- Accept demand charge penalties and grid violations
- Limit datacenter capacity to stay compliant
- Install AI-powered BESS and eliminate the problem
We chose option 3. Battery + AI is standard on every ZIANI system — solar, wind, or hybrid.
Not because it's trendy. Because datacenters demand it.
50% fluctuation reduction. ISO/RTO compliance. Economic optimization. Proven on real AI workloads.
Request a proposal — we'll model your specific datacenter load profile and show the engineered path to grid compliance and massive cost savings.