Price curves to 2050, battery sizing and revenue simulation, and the hourly grid restrictions at your connection point. Three products on one data set. Set up in one day, scenarios in minutes.
Price curves, grid restrictions, business case, optimizer performance. Four separate products, all reading the same market data and the same scenario set.
Forward price curves to 2050, at 15-minute resolution, for every market a battery earns in. One consistent scenario set behind all your revenue assumptions.
Sizing and revenue simulation for standalone and co-located BESS. BESSview optimizes dispatch on real time series, including the grid limitations, tariffs and losses that make or break the case.
Hourly power flows on the full Dutch transmission grid, built on PyPSA-NL, turned into the expected hourly restrictions at your connection point from 2027 onwards. For BESS, datacenter and industrial projects on a congested grid.
Independent benchmarking of the party trading your battery. We backtest your site against the theoretical maximum revenue it could have earned and report the share your optimizer captured. On a 10 MW / 40 MWh asset in 2025 that was 61 percent.
Partners, members and clients
Every number in the platform traces back to the settled series it was built from: EPEX day-ahead and intraday prices, and TenneT imbalance, aFRR and FCR settlement data. The BirdFlow grid model is checked against published TenneT capacity data and ENTSO-E day-ahead outcomes. Each result can be traced to those inputs.
Put the battery behind the same connection as the PV park and the site load. PV, battery and load share the contracted transport capacity (GTV) for offtake and feed-in, the monthly kWmax is measured once at the grid meter, and the SDE++ production meter on the PV park keeps working as before.
The transport tariff bills the highest monthly peak at the grid meter. With the battery behind that meter it discharges into the site peak and shaves it. BESSview optimizes the kWmax charge alongside trading revenue, so the saving shows up in the business case.
The subsidy is settled on the BPM (bruto productiemeter) of the PV park, not at the grid meter. BESSview models SDE++ delayed feed-in for solar that goes through the battery before it reaches the grid.
PV, battery and load share the contracted offtake and feed-in capacity with Enexis or TenneT. PV surplus above the feed-in limit charges the battery instead of being curtailed, and in negative price hours that transfer costs nothing.
The diagram shows the co-located case. The same model runs standalone BESS, wind+storage and industrial behind-the-meter sites, each on its own connection capacity, congestion profile and tariffs.
Change the sizing, the price curve or the dispatch strategy and the run finishes in minutes, so you can find out what the case actually hangs on.
Your grid connection, your local congestion profile, your co-located generation and the regulatory constraints on your site all go in as parameters, not as defaults.
The models are built by people who have traded energy, financed projects and operated assets. The assumptions come from how these markets behave in practice.
DA, intraday, FCR, aFRR, imbalance, across NL, DE, RO and expanding. Every revenue stream is modelled on real market data.
BirdFlow simulates hourly power flows on the full Dutch 380/220/150/110 kV grid, with TenneT's planned reinforcements added in their commissioning year. The hourly restriction profile per connection point goes straight into the BESSview business case.
Masterclass
26
November
or
3
December
2026
Thursdays · 09:30 to 17:00
Only 20 seats
A full day, across eight sessions, on what a congested grid does to a project: TDTR/VVTR restrictions, non-firm connections (ATO), and the revenue impact on PV, BESS and hybrid projects. For developers, investors and lenders who need to price the grid correctly.
Request a 30-minute demo and we come back with a sample BESSview output for your own configuration, or a BirdFlow restriction profile for your connection point.