CAPABILITIES / DATA CENTER HYDROLOGY

Data Center Hydrology

Bridging the gap between rack density and local water availability.

THE CHALLENGE

Data center water consumption is under increasing scrutiny. High-performance computing (HPC) and AI workloads require massive cooling capacity, often in regions with strained water resources. Operators must balance Water Usage Effectiveness (WUE) with Power Usage Effectiveness (PUE) while navigating local permitting and community relations.

TECHNICAL FOCUS AREAS

ADIABATIC COOLING OPTIMIZATION

We design and optimize adiabatic cooling systems to minimize water consumption during peak load while maintaining thermal envelopes.

  • Psychrometric analysis for site selection
  • Water quality impact on media life
  • Blowdown minimization strategies
  • Legionella risk management

WATER USAGE EFFECTIVENESS (WUE)

Standardizing metrics for water efficiency. We implement monitoring frameworks to track and reduce L/kWh.

[Diagram: WUE Calculation = Annual Site Water Usage / IT Equipment Energy]

THERMAL PLUME MODELING

Predicting the impact of heat rejection on local microclimates and water bodies.

  • CFD modeling of exhaust plumes
  • Mixing zone analysis for liquid discharge
  • Recirculation risk assessment
  • Regulatory compliance for thermal loading

RELEVANT EXPERIENCE

Experience with Detroit Thermal district energy systems informs our approach to large-scale heat rejection and water management:

  • Management of closed-loop and open-loop cooling systems
  • OSHA-compliant thermal control protocols
  • Urban infrastructure integration

Optimizing for the next generation of compute?