Sydney, NSW

Sydney data centre feasibility.

Built for the largest data centre market in Australia. Power, land, build cost, and stabilised yield modelled in one feasibility, from greenfield through commissioning.

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CountryAustralia
StateNew South Wales
Default contributionsNSW Section 7.11
Common typologyHyperscale and colocation

What shapes Sydney data centre feasibility

Sydney is the largest data centre market in Australia, with most new capacity concentrated around the M2, M4, and M7 corridors. The defining inputs are power availability and grid headroom, latency to fibre routes, land, and base build cost per megawatt of IT load.

Revenue is driven by contracted rate per kilowatt, contract length, and customer mix between hyperscale and colocation. On the cost side, base build, mechanical and electrical, and connection charges sit alongside land.

Popurise treats power capacity, MW commissioned, and revenue per MW as first class inputs, so a data centre feasibility is structured the way the industry actually thinks about it.

Common project types

What Sydney data centre typically looks like

The typologies that account for most feasibility work in this market.

Hyperscale data centres

Single tenant facilities pre-committed to a large hyperscale customer under long term contract.

Colocation data centres

Multi-tenant facilities sold by rack, cage, or MW to enterprise and cloud customers.

Edge and regional

Smaller facilities deployed for latency-sensitive workloads outside the core corridors.

Campus and phased

Phased campuses with sequential MW commissioning over multiple years.

Assumptions and outputs

What to test, and what the model returns

The inputs that move outcomes in this market, and the outputs that matter to investment committees and capital partners.

Feasibility assumptions to test
  • Site area, total MW capacity, and MW commissioned per phase.
  • Revenue per MW per month and contract length.
  • Capitalisation rate at stabilisation.
  • Base build cost per MW, including M and E.
  • Power connection, grid charges, and headworks.
  • Phasing, fit-out timing, and customer commitment status.
Outputs that matter
  • Stabilised value and yield on cost per phase and total.
  • Residual land value at target return.
  • Equity IRR through build and stabilisation.
  • Cash flow with phased MW commissioning.
  • Sensitivity to revenue per MW, build cost per MW, and cap rate.

Models

Relevant feasibility models

The models most often used for data centre work in Sydney.

Models

Data centre feasibility model
Default model for hyperscale and colocation feasibility.
Data centre operating model
Stabilised operating model for hold scenarios.

Use cases

How developers use Popurise here

The work this tool is built to do, applied to local conditions.

Use cases

Yield on cost analysis
Yield on cost relative to cap rate by phase.
Stabilised value analysis
Value at stabilisation, given MW commissioned and rate.
Development cash flow forecasting
Phase MW commissioning across multiple years.

Questions

Frequently asked

Does Popurise model power capacity and MW directly?

Yes. Capacity in MW, MW commissioned per phase, and revenue per MW are first class inputs, with build cost expressed per MW.

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