Introducing IRIS
Our super fast NEM/WEM market simulator
What would have happened if this battery had bid differently?
Given a DUID, a dispatch interval and an alternative bid stack, IRIS re-solves the market using a NEMDE optimisation to return the counterfactual dispatch and region prices in around 109 milliseconds.
Speed only matters if you can trust the result. Across our validation set, IRIS reproduces NEMDE with an average energy price error of less than 2¢/MWh.
The example above uses a real grid-scale battery, a real NEM dispatch interval, and the battery’s actual submitted bid bands.
The only change is moving one 150 MW bid band one price band higher.
The result?
20.5% more energy revenue.
While dispatching 30% less energy.
By stepping that bid back, the market cleared at a higher price while preserving energy for later intervals.
This isn’t a spreadsheet estimate. The interval was re-solved using a full NEMDE market optimisation, modelling the network, constraints and every participant’s actual submitted bids.
That changes what’s practical. Instead of running a handful of scenarios, traders and optimisation systems can explore thousands, making market impact analysis, bid optimisation and strategy testing fast enough for day-to-day use.
