ENERGY ARCHITECTURE
In AI data centers, energy costs represent 40-60% of operational expenses. NeuroVerse's Hybrid-Dynamic power architecture is designed to deliver a structural cost advantage.
Industrial power tariffs in India vary significantly by state, time-of-day, and consumption pattern. Uttarakhand offers competitive base rates, but peak-hour pricing can erode margins for 24/7 compute operations.
Most data centers accept grid dependency as inevitable. We engineered around it.
Rather than accepting grid dependency, NeuroVerse is engineered around a Hybrid-Dynamic architecture that combines multiple power sources, each optimized for specific time windows.
Approximately 30% below industry average through strategic source switching and thermal storage.
Three integrated power sources, intelligently managed across the 24-hour cycle.
State electricity board connection with dedicated HT line. Primary source during off-peak hours when rates are lowest.
Optimal Usage
22:00 - 06:00
Equity stake in solar generation facility under Group Captive model. Fixed-cost power during daylight hours.
Generation Window
06:00 - 18:00
Ice-based thermal storage charges during off-peak, discharges cooling capacity during peak pricing windows.
Discharge Window
18:00 - 22:00
Time-of-Day tariff arbitrage combined with Thermal Energy Storage. TES shifts cooling energy across tariff windows; compute workloads remain continuous.
| Time Block | Compute Power | Cooling Strategy | Grid Tariff Window | Optimization Logic |
|---|---|---|---|---|
| 00:00 - 06:00 | Grid (Off-Peak) | Chillers + TES Charging | Off-Peak | Lowest tariff window—charge TES for later use |
| 06:00 - 12:00 | Solar + Grid Backup | Chillers + TES Charging | Normal | Solar generation begins—continue TES charging |
| 12:00 - 18:00 | Solar + Grid Backup | Chillers + TES Charging | Normal | Peak solar generation—maximize TES charge |
| 18:00 - 22:00 | Grid (Peak Tariff) | TES Discharge (Primary) | Peak | Highest tariff—use stored cooling to minimize grid draw |
| 22:00 - 24:00 | Grid (Off-Peak) | Chillers + TES Charging | Off-Peak | Return to off-peak tariff—resume TES charging |
Target Blended Electricity Cost
Projected cost based on hybrid mix of grid power (Time-of-Day tariffs), group captive solar, and thermal energy storage optimization
~₹5.0–5.1/kWh
vs ~₹7.2/kWh unoptimized grid-only
THERMAL ENERGY STORAGE
Thermal Energy Storage (TES) uses off-peak electricity to create ice, then uses that stored cooling capacity during peak pricing windows. This effectively time-shifts our cooling load to when power is cheapest.
Charge Cycle (22:00 - 06:00)
Chillers run at high efficiency during cool nighttime hours, producing ice at off-peak rates.
Discharge Cycle (18:00 - 22:00)
Stored ice provides cooling, dramatically reducing grid draw during peak tariff hours.
Nighttime operation = lower ambient temperature = higher COP
Projected electricity cost based on hybrid mix of grid power (Time-of-Day tariffs), group captive solar, and thermal energy storage optimization.
Projected Cost Advantage
~30%
Reduction compared to unoptimized, grid-only industrial data centers under Uttarakhand HT tariffs
Our hybrid-dynamic architecture isn't just about cost savings—it's about building a structural moat that protects margins as AI compute scales.