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Medium-voltage switchgear, transformer and cable trays in an electrical plant room

Stage 9 of 14 / Comparison

Compare utilisation, cooling and redundancy scenarios

Re-run the complete model for each option instead of scaling the base case, then compare PUE, peak demand, cost and feasibility.

  • Advanced
  • 14 stages
  • 15 min
  • Mission-critical electrical and thermal systems
Development preview AI Data Center: Full Engineering Workbench
Development preview. The calculations on this journey run on existing EngiMetric engines, but the journey text and scope have not completed independent engineering review. The route is excluded from search while it remains a preview.
Professional review required.Engines and workbench are implemented and tested. Defaults, sources and engineering assumptions still require independent review before publication or use on a real project. Current verification state: Needs engineering review.

After this stage you can

Learning objectives
  • Run complete model re-runs for utilisation, cooling, topology and tariff options.
  • Compare peak demand, PUE, CAPEX, OPEX and cost per delivered IT kWh.
  • Explain why a lower-cost option may be infeasible against the stated availability target.

The engineering

A scenario is a deliberate change to the saved basis: utilisation, cooling approach, power topology or electricity price. The runner clones the state, applies only that change and re-runs every engine. Nothing is scaled from the base case, so a topology change also recalculates equipment counts and cost.

The comparison is designed to expose trade-offs. Higher utilisation improves cost per delivered IT kWh but reduces headroom. Direct-to-chip cooling may reduce air flow and plant power but changes the facility water boundary. An N topology lowers equipment count and cost but fails the availability target.

Feasibility is a screening flag. A scenario is marked infeasible when the model does not converge, the availability target is missed, or an electrical or cooling check fails. It is not a financial recommendation.

EngiMetric / AI data-center workbench

One project, computed from rack to report

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Preview screen. Inputs are saved in this browser only. Climate, grid, water and cost values are illustrative. Failed checks stay visible; a clean summary is not a stamped design and no Tier rating is claimed.

Your deliverable for this stage

Capstone evidence

A scenario comparison table with a defended recommendation and rejected options.

Stage assumptions, limits and sources

Provenance

Assumptions

  • Only the declared scenario inputs change; all other basis values stay fixed.
  • Topology scenarios trim equipment counts to the recalculated requirement.
  • Feasibility is a screening flag, not an investment recommendation.

Constraints

  • Deterministic one-at-a-time scenarios, not a probabilistic risk model.

Limitations

  • No construction schedule or phased cash-flow timing.
  • No financing, tax, incentive or revenue model.

Review status

  • Needs engineering review
  • Professional review is required before publication or use as a design basis.

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Stage kind: Comparison / Journey: ai-data-center / Stage: energy-profiles