Sustainable Data Center Cooling

Cool Servers.
Save Water. Save the Grid.

ecoData is a closed-loop liquid cooling system for data centers — cutting water waste, energy consumption, and thermal inefficiency with real physics and a working digital twin.

~90% Water Reduction
40% Energy Savings
1.1 Target PUE
Q = mCΔT Real Physics Engine

The Closed-Loop Cooling Cycle

Coolant absorbs heat at the source, transfers it externally, then recirculates — a zero-loss thermal loop.

GPU / CPU COLD PLATE ≈ 85°C HEAT EXCHANGER → AMBIENT RADIATOR ≈ 35°C PUMP ▶ ▼ ◀ ▲ HOT COOLANT → → HEAT OUT ← COOLED LIQUID

Live Physics Simulator

Adjust parameters and watch real thermal calculations update in real-time using Q = ṁ · Cₚ · ΔT.

// INPUT PARAMETERS

GPU Power 350 W
CPU Power 150 W
Flow Rate 2.0 L/min
Ambient Temp 25°C
GPU Junction Temp
68°C
Coolant Inlet Temp
28°C
Coolant Outlet Temp
34°C
Cooling Efficiency
85%
Pump Power
42W
PUE Score
1.12

// Temperature History

Water Usage Comparison

Traditional data centers are among the largest consumers of fresh water. ecoData changes that equation entirely.

Traditional Air Cooling
Cooling towers evaporate millions of liters of potable water annually per facility.
Water UsageVery High
Energy EfficiencyLow
ecoData + Fresh Water
Closed-loop system with minimal evaporative losses. Recirculates the same water continuously.
Water UsageLow
Energy EfficiencyHigh

Traditional Air Cooling

2,400 L/day
per server, per year: ~876,000 L

ecoData Grey Water

~12 L/day
per server, per year: ~4,380 L

From Concept to Infrastructure

✓
Phase 1 — Complete
Digital Twin Simulator
Built a fully interactive physics-based simulator modeling the closed-loop cooling system. Real thermal calculations using Q = ṁ · Cₚ · ΔT. Live PUE scoring and efficiency metrics.
→
Phase 2 — In Progress
Physical Prototype (~$150–200)
Building a real cooling loop with water pump, cold plate, radiator, tubing, reservoir, temperature sensors, and Arduino. Validates digital twin accuracy with real-world data.
Phase 3 — Planned
Rack-Scale Cooling Module
Design a server rack cooling module integrating directly with 1U/2U servers. Target PUE of 1.1 or below.
Phase 4 — Vision
AI-Optimized Cooling Platform
Software layer with AI-driven thermal prediction, real-time digital twin monitoring, and automated coolant flow control per workload demand.

Built on Real Physics

The simulator isn't a mock-up — it's a genuine thermal model grounded in fluid dynamics and heat transfer equations.

Q = ṁ · Cₚ · ΔT

Where Q = heat removed (watts), ṁ = mass flow rate, Cₚ = specific heat of coolant, and ΔT = temperature differential across the loop.

🌡️Thermal Modeling
💧Fluid Dynamics
⚡PUE Calculation
📊Digital Twin
🔄Real-time Simulation
🤖Arduino Integration
💡AI Optimization (roadmap)
♻️Grey Water Recycling

Let's Build
Sustainable Infrastructure

Whether you're an investor, engineer, or enterprise looking at sustainable cooling — let's talk about what ecoData can do for your data center.