Model calibration

Taking our fundamentals model back to reality

TLDR; The Modo forecast is calibrated to real-world numbers using the Modo benchmark

To capture the realities of trading a battery in GB, we use historic data - both forecast and real-world, to apply a calibration to the forecast battery revneues going forward.

Modo Energy's GB Benchmarking Pro tracks each battery energy storage asset across Great Britain, and works out how much they earn, each half-hour of each day, in all the markets they operate in. At the start of 2024, over 100 sites and more than 3.5GW of battery energy storage are online in GB, and we follow each one of them (above 7MW) - having watched the fleet grow since 2020.

This gives us real-world data to calibrate our forward-looking numbers, taking our revenue forecast from a fundamentals-backed model to one cemented in reality.

Calibration that captures the realities of asset operation

There are a host of reasons that our fundamentals backed-model will miss the mark when we predict storage revenues:

  • Battery availability is less than 100%
  • Degradation from nameplate MWh capacity as the battery cycles
  • Imperfect foresight of day-ahead wholesale prices
  • High levels of participation in competitive frequency response services, meaning you're not guaranteed to win a contract

By comparing the output of our revenue forecast to reality, we can capture the impact of all these effects (and more) - making the revenue forecast more realistic.

We calibrate the forecast using accurate, real-world revenue numbers

We take revenues for Balancing Mechanism-registered battery assets in wholesale and frequency response markets across 2023.

We look at the monthly revenues of each site and compare to our revenue forecast in the same markets we model, to compare apples-to-apples. This means comparing day-ahead wholesale revenues, as well as revenues from the 6 individual markets which make up the Dynamic Frequency Response suite, in the real-world and in the forecast.

Balancing Mechanism registered assets have far greater data transparency than non-Balancing Mechanism registered units, as these units must declare charge and discharge actions to the Electricity System Operator. This makes the Modo estimated revenues for these assets our most accurate.

Over 11 months of 2023, we compare the median fleet revenue to the forecast

For both 1-hour and 2-hour systems, the median revenue in Wholesale (day-ahead) and Dynamic Frequency Response markets from Jan - Sept 2023 is 85% of the forecast revenues in the same markets.

So, we apply this calibration of 85% to the Wholesale (day-ahead) and DFR revenues in the Forecast.