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Data centres · Sector in build

Data centre feasibility, with power as a first-class input.

Powered shell to stabilised income, modelled around IT load, power availability, capex per MW and contracted revenue. Popurise is live for residential today and is expanding into data centres next.

Why this sector

Stop modelling a data hall like an office fit-out.

Data centre feasibility is dominated by power capacity, utility timing and customer ramp. A standard property workbook treats it like commercial space and misses what actually decides the deal.

The old way
Priced per sqm.

Power buried in a line item. Lease-up flattened. Stabilised EBITDA reconciled by hand.

With Popurise
Priced per megawatt.

IT load, capex per MW, ramp by hall and stabilised EBITDA, connected in one workspace.

A generic property model cannot price a megawatt.Power, capex per MW, lease-up and EBITDA as first-class inputs.
  • 01

    Power as the binding input.

    Grid capacity, augmentation and energisation drive the programme, not just the build.

  • 02

    Capex per MW, not per sqm.

    Cooling, generators, switchgear and white space costed against IT load.

  • 03

    Ramp by megawatt.

    Anchor and follow-on customers on different ramp curves, hall by hall.

  • 04

    Stabilised EBITDA at the top.

    Pass-through power, opex and reserve handled in one place.

  • 05

    Yield on cost as the test.

    Stabilised EBITDA over total development cost. The deal sanity check.

  • 06

    Constraints as inputs.

    Grid capacity, cooling and fit-out windows cap the upside case.

The spreadsheet problem

Stop letting the spreadsheet flatten the ramp.

Data centres are not flat property assets. Power, customer mix and ramp profile drive the cashflow and the exit value. The standard workbook hides each of these inside an average.

  • 01Power buried in a single lineGrid capacity, augmentation and energisation modelled separately
  • 02Capex assumed per sqmCapex per MW for power, cooling and white space
  • 03Ramp flattened to a curveMW take-up by year, anchor and follow-on
  • 04Power pass-through hidden in NOIPower cost and pass-through tracked separately
  • 05Yield on cost rebuilt every revisionYield on cost live with every input
  • 06Exit EBITDA estimated lateStabilised EBITDA in the live output panel
  • 07Constraints discovered after pricingGrid and cooling caps as model inputs

The difference

Run data centre feasibilities faster.

Excel turns fragile. Spreadsheets borrowed from commercial real estate cannot price a megawatt. Popurise is being built around the inputs Australian data centre developers actually use.

What you get
Excel workbookBuild it yourself
Spreadsheet templateOff the shelf
Legacy softwareTrained user tool
PopuriseBuilt around the deal
Best fit
Analyst-built one-off models
Commercial real estate templates
Trained users
Power-led data centre feasibility
Power modelling
Single line item
Single line item
Available, heavy
Capacity, timing and pass-through
Capex basis
Per sqm
Per sqm
Per sqm or per MW
Per MW of IT load
Lease-up
Flat curve
Flat curve
Process-heavy
Anchor and follow-on by MW
Stabilised EBITDA
Hand-reconciled
Hidden in NOI
Available with effort
Live in outputs
Yield on cost
Rebuilt each cut
Manual
Heavy
Live with every input
Constraints
Discovered late
Not supported
Manual
Caps as model inputs
Version control
File chaos
File chaos with nicer formatting
Better, but heavier
One live project

Get to the answer faster, without spreadsheet mess or software bloat.

Register interest

How it works

Three steps to a faster data centre decision.

Model the site, compare ramp scenarios and decide whether the powered shell is worth pricing.

Step 01

Model the deal

Set the site, IT load, capex per MW, ramp curve, opex and exit yield in one workspace.

Step 02

Compare the cases

Test anchor-only, anchor plus follow-on and stretched ramp without copying files.

Step 03

Make the call

See yield on cost, stabilised EBITDA and equity IRR. Decide what goes to investment committee.

What the model handles

A data centre model, not a renamed commercial build.

The Popurise data centre model is being scoped around IT load, power, capex per MW, ramp and stabilised EBITDA, for Australian developers and operators.

01

Site and powered shell

LandSite servicingBase buildingSubstation

02

IT load and capacity

Total MWHall phasingDensityRedundancy

03

Capex per MW

PowerCoolingGeneratorsWhite spaceSwitchgear

04

Power and fit-out timing

Grid connectionSubstationHall fit-outCommissioning

05

Lease-up by MW

AnchorFollow-onRampRent-free

06

Revenue and pass-through

ColocationPowered shellPower pass-throughEscalation

07

Opex, finance and exit

Site opexReserveDebtExit yield

Popurise model

Inputs stay connected. Change the deal, see the answer move.

Output · PlannedDriven by sector-specific assumptions

Returns

Yield on cost9.2%
Stabilised EBITDA$48.6M
Exit value$674.0M
Development profit$148.2M
Equity IRR18.6%
Project IRR13.4%
Peak debt$362.0M
Peak equity$184.5M
  1. Development directors

    Decide which powered shells deserve a real bid.

  2. Acquisition teams

    Screen power-led sites against a target yield on cost.

  3. Asset managers

    Stress-test ramp curves and stabilised EBITDA across halls.

  4. Operators

    Model anchor and follow-on customers against capacity constraints.

  5. Funds and investors

    Sanity-check yield on cost and exit value against the bid.

Why it exists

A better way to run data centre feasibility.

Popurise is being built around the inputs that decide a data centre deal: power capacity, capex per MW, ramp by hall and stabilised EBITDA, in one workspace.

Built for data centres

Model power, IT load, capex per MW, lease-up and EBITDA in one workspace, with grid and cooling constraints as first-class inputs.

Made for faster site screening

Use Popurise to test whether a powered shell is worth bidding before the deeper bid model gets built.

Clearer than spreadsheet files

Keep ramp scenarios, EBITDA and cashflows together so the answer is easy to review and share.

Popurise helps data centre teams replace fragile workbooks with a cleaner browser-based workspace for data centre feasibility and stabilised EBITDA review.

Questions

Data centre feasibility, answered.

Straight answers on how Popurise will handle data centre feasibility for Australian developers and operators.

Is the data centre model live today?

Not yet. Popurise is live for residential development feasibility. Data centres are a future sector on the same platform.

How is power modelled?

Grid capacity, augmentation works and energisation timing are separate inputs. Power pass-through and PUE-driven costs are tracked through revenue and opex.

Is capex modelled per sqm or per MW?

Per MW of IT load, for power, cooling, generators, switchgear and white space. Civil and base building costs sit alongside.

How is lease-up handled?

MW take-up by year with anchor and follow-on customers on separate terms. Rent-free and ramp profile are modelled per contract type.

What does the stabilised EBITDA output represent?

Annual EBITDA at full lease-up, net of opex, reserve and management. Power pass-through is split out so net revenue is visible.

Will it support staged halls?

Yes. The model is being scoped around phased hall delivery, with separate capex and ramp curves per hall.

How do I register interest?

Use the Register interest button. Tell us how your team currently runs data centre feasibility and what would help most.

Want to shape data centre feasibility in Popurise?

Tell us how your team runs data centre development today. We are building this with the developers and operators who will use it.