SOLUTIONS · DATA CENTERS

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Coolant chemistry that protects the site’s uptime — not just gallons.

AquaAdvisor models evaporative loop chemistry and water use, closed-loop and CDU coolant degradation, galvanic couples, and warm low-flow biological risk — from the controller and lab data you already collect on the account, framed so your team can defend uptime with the customer.

WHAT GOES WRONG

What goes wrong in data center cooling

  • Evaporative programs chase conductivity alone

    Water use and mineral limits are coupled. Over-cycling saves gallons until an exchanger or fill pays the deposit bill — the failure the program is hired to prevent.

  • Closed-loop coolants drift without a changeout trigger

    Reserve alkalinity, pH, organic acids, and inhibitor depletion move slowly until a CDU or cold plate sees corrosion products the customer already feels as risk.

  • Mixed metals create galvanic surprises

    Aluminum, copper, and steel in the same loop need a corrosion regime model — not a single coupon average you cannot defend.

  • Warm low-flow loops favor biology

    Idle or seasonal paths sit warm with long residence times. Biological risk is an uptime and compliance issue for the program you deliver, not a housekeeping footnote.

WHAT AQUAADVISOR MODELS

What AquaAdvisor models

Mechanistic chemistry and asset physics — not a renamed dashboard of controller points.

  • Evaporative loop chemistry and water use
  • Closed-loop and CDU coolant degradation (reserve alkalinity, pH drift, organic acid formation, inhibitor depletion)
  • Galvanic couples in mixed-metal loops
  • Warm low-flow biological risk; changeout triggers
  • Uptime risk framing

DATA BY FIDELITY

Required data inputs by tier

T1

Baseline

  • Makeup source chemistry and evaporative cycles
  • Closed-loop coolant type, glycol %, and periodic lab panels
  • Facility water-use meters where available
T2

Instrumented

  • Loop temperatures, flow, and conductivity / resistivity
  • Inhibitor residual and product feed on evaporative systems
  • CDU or CRAH-adjacent sample points
T3

Hourly speciation

  • Hourly chemistry estimation on critical loops
  • Event alignment for changeouts and filter swaps
T4

High fidelity

  • Detailed loop topology and materials of construction
  • High-frequency correction for control readiness

OUTPUTS

Outputs and decisions enabled

  • Evaporative cycle and water-use accounting with mineral limits
  • Coolant degradation indicators and changeout triggers
  • Galvanic / mixed-metal corrosion regime screens
  • Warm low-flow biological risk context
  • Uptime-oriented risk framing your account team can take to facilities leadership

Decisions enabled

What you can decide

  • Whether the site’s water-use targets conflict with the deposit risk you are hired to prevent
  • When to recommend closed-loop coolant changeout on the account
  • Where on-premise deployment is required by the site’s OT policy

COMPLIANCE OVERLAYS

Relevant compliance overlays

  • ASHRAE 188 program management for the evaporative heat-rejection programs you deliver
  • Audit trail for the inspections and program evidence you take to the account
  • On-premise / air-gapped deployment for sites that cannot egress process data

AI IN THIS ASSET

AI for data center cooling chemistry

Uptime-framed insights for the data-center cooling accounts you treat — grounded in solved chemistry, deployable on-prem.

  • Water-use vs deposit-risk trade-offs stated with the mineral saturation behind each option — language you can take into the customer conversation
  • Closed-loop and CDU degradation narratives for the coolants you treat: reserve alkalinity, organic acids, inhibitor depletion
  • Supervisory drift detection on probes that disagree with the lab panels you already collect on critical cooling trains
  • Changeout and biocide timing recommendations bounded by the site’s operating envelope and the ASHRAE 188 plans you deliver

How the AI layer works →

Talk through a data-center cooling topology you treat.

Evaporative, closed loop, CDU — bring what you already collect on the account. We show what the chemistry model adds before you recommend more sensors.