STANDARDIZED CLAIM CARD: CLAIM-02-WATER

Document ID: CLAIM-02-WATER
Version: 1.0.0-gold (Pre-Registered)
Parent Paper: Zero-Reconstruction Compute: Thermodynamic Entropy, Multi-Node Thermal Networks, and Planetary Water Conservation in AI Data Centers
Date: Tuesday, September 22, 2026
Status: THERMODYNAMICALLY BOUNDED & RECONCILED
SHA-256 (Locked Paper): fbf0ef6c2510059d29a0d6079e0fd1edc2fdba3e6a091d53664b2349027badea

1. Exact Claim

Elimination of software-induced serialization churn reduces steady-state thermal dissipation by up to 28%, and elevates operational heat rejection temperature thresholds ($T_{\text{supply}} = 45^\circ\text{C}$), enabling 0 Gallons of cooling-tower evaporation under base closed-loop dry rejection mode, with qualified $\le 11.6\text{M gallons/year}$ adiabatic trim during extreme summer ambient spikes ($T_{\text{dry-bulb}} > 43^\circ\text{C}$), compared to 340M to 570M gallons/year consumed by conventional evaporative cooling towers per 100 MW campus.

2. Scope & Target Architecture

• In-Scope: High-density AI hyperscale campuses (100 MW nominal IT load), liquid-to-air closed-loop heat exchangers, warm-water cooling ($45^\circ\text{C}$ supply, $55^\circ\text{C}$ return).
• Out-of-Scope: Data centers utilizing open potable evaporative cooling loops without dry-cooler economizers.

3. Baseline & Adversarial Controls

• Primary Baseline: Conventional open wet cooling tower operating at $\text{CoC} = 3.5$ (Cycles of Concentration), dissipating 100 MW thermal:
  • Latent heat evaporation: $\dot{m}_{\text{evap}} = \frac{100\text{ MW}}{2{,}442\text{ kJ/kg}} = 40.95\text{ kg/s} = \mathbf{0.935\text{M gallons/day}}$.
  • Tower blowdown + drift: $\mathbf{0.374\text{M gallons/day}}$.
  • Total conventional water draw: 1.309M gallons/day (478M gallons/year).
• Secondary Controls:
  • Direct-to-chip liquid cooling (D2C) with evaporative cooling towers.
  • Two-phase immersion cooling with synthetic fluorochemical fluids.

4. Fundamental Thermodynamic Formulation

$$\dot{m}_{\text{evap}} = \frac{Q_{\text{thermal}}}{h_{fg}(T_{\text{water}})}, \quad \dot{m}_{\text{blowdown}} = \frac{\dot{m}_{\text{evap}}}{\text{CoC} - 1}$$ - Under ATESO closed-loop dry rejection mode: $$Q_{\text{evaporative}} = 0 \implies \dot{m}_{\text{evap}} = \mathbf{0.00\text{ gal/hr}}$$ - Peak summer trimming ($T_{\text{ambient}} > 43^\circ\text{C}$, 300 annual hours at ~70.9% average duty factor, or 212.6 full-rate equivalent hours at $1.309\text{M gal/day}$): $$\text{Trim Consumption} \le 11.6\text{M gallons/year} \quad (11.6\text{M} / 478\text{M} \implies \mathbf{97.6\%\text{ net conservation}})$$

5. Falsification Criterion

The claim is falsified if an engineering audit demonstrates that a 100 MW facility running $45^\circ\text{C}$ supply coolant requires evaporative cooling-tower water consumption when the outdoor dry-bulb temperature is below $38^\circ\text{C}$.

6. Known Failure Modes & Environmental Dependencies

• In tropical environments where both dry-bulb ($>40^\circ\text{C}$) and relative humidity ($>80\%$) are concurrently elevated for extended durations, adiabatic trim hours increase, expanding annual water consumption up to $22.0\text{M gallons/year}$ (still $>95\%$ below conventional wet towers).