Connection-Point Risk Suite
The four connection-point questions, answered per DUID.
A renewable developer evaluating an acquisition or greenfield connection asks one question across four datasets we already own: at this connection point, what's my curtailment exposure, loss factor, headroom and network risk, and how do my candidates compare? gridIQ stacks them per-DUID over the proprietary constraint, MLF and REZ archive, with an exportable due-diligence bundle.
Four panels, one connection point
Constraint participation + curtailment estimate
Which binding constraints a connection point participates in, over a rolling 90-day window, alongside a per-DUID curtailment estimate for solar and wind (own capacity + SCADA vs weather-implied expected output). Honest by design: it is a model estimate, not a measured or audited number.
Marginal Loss Factor (MLF) trend
The multi-financial-year MLF series for the DUID, with the basis-point change pre-computed, plus a nearby announced-capacity overlay. A drifting MLF is the quiet erosion of delivered revenue. See it as a trend, not a single point.
REZ headroom
AEMO ISP Renewable Energy Zones for the unit's state, ranked by resource-type relevance (solar/wind/hybrid matched to the unit's fuel type first), then genuine distance from the unit where coordinates are on file, then available capacity: hosting, committed, available and queued capacity, plus network status.
Comparison bundle + DD export
Stack 3–5 candidate DUIDs side by side and export a printable acquisition due-diligence bundle (constraint, MLF, REZ) for the data room.
Honest about what the data is
The constraint-to-DUID linkage is recovered from the per-interval participation factors in AEMO's binding constraints. We're precise about its limits: for solar and wind DUIDs, curtailment is a per-DUID model estimate(this unit's own registered capacity and latest SCADA reading against the region's weather-implied expected output), not a measured or audited figure, and a current-instant read rather than a historical series. Regional curtailment context remains alongside it for other fuel types. The constraint signal is a rolling-window read, not multi-year history. The MLF and REZ panels are multi-year, so long-horizon claims live only there. Loss factors are reported as a higher or lower MLF, and gridIQ states the numbers and lets you draw the conclusion.
Built into Watt and the app
Ask Watt "what's the connection-point risk for BERYLSF1?" or "compare BERYLSF1, LIMOSF1 and DARLSF1" and the analyst returns the same engine output. The full surface lives at /connection-point in the app, under Generators.
Who it's for
- Renewable developers screening greenfield connection points and acquisition targets
- Asset acquirers & advisors assembling a connection-point data room for due diligence
- Owners' engineers & consultancies benchmarking loss-factor and constraint exposure across a portfolio