How to review a green-value sensitivity without treating it as an appraisal
A modeled value sensitivity is a hypothesis until it is tested against permissioned comparable evidence. Location, building quality, leases and market timing can all explain an observed difference.
The raw premium overstates the causal one
A raw difference between two groups does not isolate the effect of energy performance or certification. The analysis needs a defined sample, date, method and permission to use the evidence.
Report a range and its limitations, and keep it separate from a qualified property valuation.
Where the premium is largest
The current Terra.ai workflow does not contain permitted transaction-level evidence to rank markets or sectors. Those comparisons require a sourced local dataset.
- Define geography, asset type and valuation date.
- Separate energy performance from location and lease quality.
- Record the sample and uncertainty before publishing a figure.
The brown discount is the real driver
Increasingly the decision is not about capturing a premium but avoiding a discount. Assets below regulatory energy thresholds face restricted lettability, higher cap rates and a stranding date. Modelling that date turns a sustainability question into a straightforward capital allocation one.
Diminishing returns above a threshold
Moving from unrated to a solid certification level captures most of the available uplift. Pushing beyond that captures far less per euro spent, unless a specific occupier or lender requires the higher band. Rank measures by uplift per euro and stop where the curve flattens.
Underwrite the isolated premium, price the stranding risk, and stop upgrading where marginal uplift falls below marginal cost.
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