Curtailment, constraints and MLF shifts are the hidden variables in renewable project economics. gridIQ makes them visible, with real-time tracking, constraint forecasts and PPA backtesting across all six Australian energy regions.
Your wind or solar farm is generating, but the output is being curtailed by network constraints, negative prices, or system security limits. Most developers only discover the extent of curtailment weeks later in settlement data. By then, the pattern has repeated dozens of times.
AEMO publishes constraint equations, binding frequency and interconnector limits across thousands of CSV rows on NEMWEB. Understanding which constraints affect your DUID, how often they bind and whether the pattern is seasonal requires specialised analysis that few teams have capacity for.
Marginal Loss Factors are published annually and can shift significantly: a 3% MLF reduction on a 200 MW wind farm translates to millions in lost revenue over a PPA term. Tracking MLF trends, understanding the drivers and anticipating changes is critical but time-consuming.
Identify when and why your generation is being curtailed. gridIQ tracks renewable output against nameplate capacity, flags curtailment periods and correlates them with binding constraints, negative prices and system conditions, so you can quantify the revenue impact and build a case for network investment.
Weather-adjusted probability forecasts for key transmission constraints. See which constraints are likely to bind in the next 72 hours based on wind and solar forecasts, demand patterns and historical binding frequency. Plan maintenance and dispatch strategy around constraint risk.
Current and historical MLF data for every DUID in the NEM. Track year-on-year trends, compare your project against peers in the same connection zone and understand the network conditions driving MLF changes, before the annual AEMO publication.
Real-time generation breakdown by fuel type across all six regions, updated every 30 minutes. See how wind, solar, coal, gas and hydro market shares are shifting, and where your project fits in the competitive landscape.
A PPA quote is a strike price. What you actually capture is the strike minus the cannibalisation delta, the gap between your generator’s settlement profile and the regional pool average, which widens as more capacity of the same fuel type is added to the zone. gridIQ’s PPA backtester runs your candidate structure (fixed, indexed, CfD, cap-and-floor or hybrid composite with weighted tranches) against the full NEM settlement history with the captured-price discount surfaced quarter by quarter, plus a saturation-stress mode that re-runs the same trade against historical periods of higher zonal renewable penetration so you can see how the delta widens before you sign.
Ask Watt about curtailment patterns, constraint binding frequency, regional generation trends, negative pricing events and interconnector flows, in plain English. Watt synthesises market intelligence that would take hours to compile manually.
Year-on-year trend, drivers and peer comparison against generators in the same connection zone. See where your project sits before the next AEMO publication, not after.
Test fixed, indexed, CfD, cap-and-floor or hybrid composite structures against the full NEM settlement history. Captured price, cannibalisation delta and seasonal breakdown, surfaced quarter by quarter.
Watt pages you the first time a binding constraint affects your DUID, a negative price interval clears, or output drops below your minimum threshold. Catch the pattern early, not in next month’s settlement data.
A 3% MLF reduction on a 200 MW wind farm at an average pool price of $80/MWh costs approximately $3.8 million over a 10-year PPA term. A single informed MLF submission or avoided curtailment event can recover losses at that scale. gridIQ Professional gives your team the visibility to make those calls with confidence.
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