Root Only Module

Liquid-to-Chip System Modelling Laboratory

This page is dedicated to ultra-comprehensive modelling simulation: complete parameter traceability from all inputs, processing logic blocks, solver internals, control loops, calibration fitting, and final engineering outputs.

Model Coverage

Input-Process-Output

Solver Scope

Thermal + Hydraulic + Control

Calibration

Telemetry Fit Enabled

Access Level

Root

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Integrated Engineering Architecture Focus

The model treats liquid cooling as one subsystem in a broader standards-driven engineering chain.

Thermal-Hydraulic Engineering Chain

The sizing model follows end-to-end heat transport: chip load capture, coolant transport, pumping duty, CDU losses, and rejection path energy. This prevents underestimating total cooling parasitics.

Chip Heat

GPU/CPU thermal load

Cold Plate

Capture ratio tuning

CDU Loop

Flow, head, pump duty

Heat Rejection

COP and climate effects

Compliance

Standards score fusion

Advanced Modeling Dimensions

Calculator outputs include:

Thermal capture, coolant flow, and pumping power.
CDU sizing under N, N+1, and 2N configurations.
Composite PUE, WUE, annual energy, and OPEX.
Cross-standard alignment score with weighted grading.

High-Fidelity Engineering Calculator

Use this model for detailed scenario comparison before final validation with licensed engineering teams.

Design Inputs

IT Load (MW)

Rack Count

Rack Type Profile

Target Rack Density (kW/rack)

High-Density Rack Share (%)

Model Horizon Year

Country Profile

Climate Profile

Cooling Architecture Preset Direct-liquid preset uses warm-water coolant loop (liquid, not supply-air).

Liquid Capture (%)

Coolant Type

Liquid Supply Temp (C)

Liquid Return Temp (C)

Pump Head (m)

Pump Efficiency (%)

Hydraulic Margin (%)

BMS / Control Quality (%)

Predictive Control Effectiveness (%) Represents predictive optimization strength in BMS/DCIM logic (MPC-like), not a physical device.

Thermal Transfer Effectiveness (%)

CDU Loss Coefficient (% Heat)

Pipe Loss Multiplier

Future Tech Multiplier (%)

CDU Unit Capacity (kW)

Redundancy Topology

Air Path COP

Economizer Availability (%)

Facility Airflow Fan Power (% IT) Includes CRAH/CRAC, in-row, and DAHU/AHU fan energy on facility side (excluding server internal fans).

UPS Efficiency (%)

Power Distribution Loss (% Input)

Heat Reuse Rate (% Liquid Path)

Electricity Price (USD/kWh)

Water Tariff (USD/m3)

Grid Carbon Intensity (kgCO2e/kWh)

Monitoring Coverage (%)

Fire Suppression Strategy

Target PUE

Target System COP

Concurrent maintainability verified.

Auto-Run while editing Auto-Run ON (220ms)

Show advanced lab coefficients Operational Mode

Operational mode hides lab-only coefficient tuning and keeps field-operational parameters visible.

Input Quality Guardrails

Awaiting Model Run

Run model to evaluate assumption quality and operational realism checks.

Calibration Mode (Telemetry Fit)

Not Calibrated

Input measured telemetry to calibrate model coefficients. Minimum 2 measured KPI targets required.

Measured PUE

Measured System COP

Measured Annual Energy (GWh)

Measured Net OPEX (USD/year)

Measured Carbon (tCO2e/year)

Measured Pump Power (kW)

Telemetry CSV Import

Idle

Auto-map CSV columns to calibration KPIs (`pue`, `cop`, `annual_energy_gwh`, `net_opex`, `carbon`, `pump_kw`) and optional operational inputs.

CSV File

Apply Matching Operational Fields Apply mapped operational columns (for example `liquid_capture`, `pump_eff`, `fan_power`, `monitoring`) to input form.

CSV Paste (Optional)

Aggregation Mode

Window Rows (0 = all)

Map PUE

Map COP

Map Annual Energy

Map Net OPEX

Map Carbon

Map Pump Power

Map Liquid Capture

Map Pump Eff

Map Fan Power

Map Monitoring

Column mapping not detected yet. Click "Detect Columns" to preview and override mapping.

Telemetry import idle. Provide CSV via file or paste area, then run parse.

Apply calibrated coefficients to active model inputs.

Calibration idle. Provide telemetry targets and run calibration.

The model estimates thermodynamic and economic behavior using engineering assumptions for early-stage design screening. Note: "Liquid Supply/Return Temp" are coolant loop values, different from supply-air setpoint in DAHU/in-row systems.

Engineering Output

Quick KPI Snapshot

Constraint Check Pending

PUE-

System COP-

Net OPEX-

Risk Index-

Country Profile-

Liquid Heat Captured-

Residual Air Heat-

Coolant Flow (Design)-

Pump Power-

CDU Count-

Projected PUE-

Projected System COP-

Projected WUE-

Annual Energy-

Gross Annual OPEX-

Heat-Reuse Credit-

Net Annual OPEX-

Annual Carbon-

Carbon Avoided-

Rack Type Profile-

Design Density-

Control Logic Index-

Future Factor-

Rack Density-

Risk Index-

Data Confidence-

Calibration Fit-

Advanced Modelling Block Diagram

Input profiles flow through thermal-hydraulic engine and produce quantified impact to efficiency, cost, and compliance.

Input Profile -

→

Thermal Engine -

→

Constraint + Control -

→

Impact Layer -

PUE Gap to Target -

COP Gap to Target -

OPEX Delta vs Target Mode -

Control/Logic Feedback Diagram

Shows how sensor confidence, controller tuning, and predictive logic affect plant behavior and KPI outcomes in closed loop.

Expandable Block Explorer

Explorer Idle

Progressive-disclosure workspace for per-block process transparency, dependency tracing, diagnostics, QA checks, and export/share controls.

Compare Block A

Compare Block B

Run model to initialize explorer analytics.

Block A

Run model to compare block perspectives.

Block B

Run model to compare block perspectives.

Diagnostics pending. Click "Run UI Diagnostics" after a model run.

Execution Flow: Input -> Processing -> Control -> Output -> Re-Processing

This chain is the canonical execution order used by the model engine on every run.

1Input Vector

2Processing Algorithm

3Control Logic Gates

4Output Vector

5Feedback Processing

Complete Variable Processing Flow

Full chain from all input variables, derived/control processing, solver internals, and final outputs.

Stage 1 - Input Vector (0)

Stage 2 - Derived Core

Stage 3 - Control Logic

Stage 4 - Thermal/Hydraulic Solver

Stage 5 - Energy/Economic

Stage 6 - Output Vector (0)

Complete Input-Processing-Output Block Map

Every active variable is rendered as a live node. Hover each parameter for technical meaning, benchmark, and formula context.

Input Nodes (0)

Processing Nodes (0)

Output Nodes (0)

Block map updates on every model run, optimization run, and calibration run. Text wrapping is forced to avoid overflow for long variables.

Dynamic Energy + Loss Breakdown

Live share of major loads from IT input to final facility demand.

IT Core Load

Liquid Cooling

Air Path Cooling

Pump + Hydraulics

Electrical Losses

Other Aux + Fan

Target Guidance Engine

Gap: -

Run model to generate optimization actions.

Scenario	PUE	System COP	Annual OPEX	Annual Carbon	WUE
Baseline	-	-	-	-	-
Optimized	-	-	-	-	-
Delta	-	-	-	-	-

Constraint + Degraded Mode Engine

Constraints Pending

Define hard engineering limits and test degraded operating modes. Optimizer can enforce these constraints.

Failure / Degraded Mode

Hard PUE Max

Hard COP Min

Hard Risk Max

Hard Pump % of IT Max

Enforce Hard Constraints

Control Logic DSL / Rule Editor

Rule Set: Default

Editable gate rules for G1/G2/G3. Variables available: monitoring, controlIndex, deltaT, pumpPowerPctIt, riskIndex, pue, targetPue, cop, targetCop.

Rule G1 (Sensor Quality Gate)

Rule G2 (Actuator Limit Gate)

Rule G3 (Risk Guard Gate)

Equation Inspector Panel

Live substituted equations with units and active values from the current simulation state.

Run model to populate equations.

Pareto Frontier Explorer (Multi-Objective)

Frontier Not Generated

Generate non-dominated trade-offs across PUE, Net OPEX, Carbon, and Risk. Click a row to apply that scenario.

Pareto Samples

Point	PUE	COP	Net OPEX	Carbon	Risk
Generate Pareto frontier to view non-dominated points.

Pareto Scatter (PUE vs Net OPEX)

No Pareto Points

No Pareto point selected yet. N/A

Generate frontier and click point/row to inspect detailed trade-off metrics.

Delta summary vs baseline will appear here.

Monte Carlo Uncertainty Mode

Distribution Not Generated

Uncertainty propagation around current assumptions (P10/P50/P90) for KPI robustness checks.

Simulation Samples

Input Uncertainty (%)

Metric	P10	P50	P90
Run Monte Carlo to generate uncertainty bands.

Monte Carlo Distribution Charts

No Distribution Yet

Run Monte Carlo to render distribution histograms.

Facility Distribution Sankey Chart

Waiting Model State

Live flow map of facility power distribution from total input toward compute, thermal branches, electrical loss, and auxiliary load.

Sankey View Mode

Sankey summary will appear after model execution.

Calibration Quality Layer

No Calibration Quality Data

Residual diagnostics with train/validation split and 95% confidence interval of relative residual error.

Calibration quality pending. Run calibration to evaluate fit quality.

Metric	Target	Predicted	Residual %
No residual diagnostics yet.

Model Self-Test + Regression

Not Run

Deterministic fixture tests to validate KPI behavior, degraded mode responses, and hard-rule blocking after UI/model changes.

Self-test pending. Run self-test to generate pass/fail regression report.

Test Case	Status	Check	Detail
No self-test execution yet.

Scenario Manager (Versioned)

Save, load, delete, and compare named scenario snapshots with assumption version metadata.

Scenario Name

Select two scenarios sequentially to compare deltas.

Data Provenance + Assumption Ledger

Parameter source tracking with owner, confidence score, and timestamp for governance/audit context.

Parameter	Source	Owner	Confidence	Timestamp
Ledger not loaded.

Executive + Engineering Export Packs

Generate downloadable report packs for board-level communication, engineering deep-dive review, and printable PDF reports (single or compare mode).

PDF Single Source

PDF Compare Left

PDF Compare Right

PDF Compute Quality

Random Seed (Optional)

No Export Yet

PDF export opens a print-ready report in a new tab. Use browser option "Save as PDF" for final file output.

100% Parameter Coverage Matrix

Inputs - | Outputs -

Input Parameters (0)

Output Parameters (0)

Logic Impact Matrix (Editable Algorithm Effects)

Each row estimates local sensitivity: if one parameter shifts by one step, how key outputs are affected.

Input Parameter	Step	Delta PUE	Delta COP	Delta Net OPEX	Delta Carbon	Delta Risk
Run model to generate impact matrix.

Composite Standards Alignment -

Grade: -

ASHRAE Thermal Envelope-

ANSI/TIA Infrastructure Readiness-

ISO Energy Governance-

NFPA Safety Posture-

Uptime Tier Alignment-

Methodology Snapshot

Mass flow uses Q = m * Cp * deltaT with coolant-specific properties.
Pump duty includes redundancy factor, hydraulic margin, and efficiency correction.
Cooling energy blends liquid + air path with economizer and part-load corrections.
PUE includes UPS and distribution losses, fan load, and auxiliary systems.
Net OPEX and carbon include heat reuse credit and displacement benefit.
Composite score uses weighted standard-specific criteria plus risk modifiers.

Liquid-to-Chip System Modelling Laboratory

Integrated Engineering Architecture Focus

Thermal-Hydraulic Engineering Chain

Chip Heat

Cold Plate

CDU Loop

Heat Rejection

Compliance

Advanced Modeling Dimensions

High-Fidelity Engineering Calculator

Design Inputs

Input Quality Guardrails

Calibration Mode (Telemetry Fit)

Telemetry CSV Import

Engineering Output

Quick KPI Snapshot

Advanced Modelling Block Diagram

Control/Logic Feedback Diagram

Expandable Block Explorer

Block A

Block B

Execution Flow: Input -> Processing -> Control -> Output -> Re-Processing

1Input Vector

2Processing Algorithm

3Control Logic Gates

4Output Vector

5Feedback Processing

Complete Variable Processing Flow

Stage 1 - Input Vector (0)

Stage 2 - Derived Core

Stage 3 - Control Logic

Stage 4 - Thermal/Hydraulic Solver

Stage 5 - Energy/Economic

Stage 6 - Output Vector (0)

Complete Input-Processing-Output Block Map

Input Nodes (0)

Processing Nodes (0)

Output Nodes (0)

Dynamic Energy + Loss Breakdown

Target Guidance Engine

Constraint + Degraded Mode Engine

Control Logic DSL / Rule Editor

Equation Inspector Panel

Pareto Frontier Explorer (Multi-Objective)

Pareto Scatter (PUE vs Net OPEX)

Monte Carlo Uncertainty Mode

Monte Carlo Distribution Charts

Facility Distribution Sankey Chart

Calibration Quality Layer

Model Self-Test + Regression

Scenario Manager (Versioned)

Data Provenance + Assumption Ledger

Executive + Engineering Export Packs

100% Parameter Coverage Matrix

Input Parameters (0)

Output Parameters (0)

Logic Impact Matrix (Editable Algorithm Effects)

Methodology Snapshot

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