
Factor 9: how seasonal storage breaks the winter wall
With seasonal storage, 90% self-sufficiency for the simulated neighbourhood drops from 117,000 to 12,900 euros per year, a factor of 9. But the same installation reaches only 56% instead of 90% without smart control: buying seasonal storage without a control strategy leaves most of the value on the table.
The wall from part 1
Image above: AI impression, not a construction drawing.
In part 1 the neighbourhood ran into the winter wall: 80% self-sufficiency costs about 6,100 euros per year, 90% suddenly 117,000. The cause was seasonal mismatch: sun in July, demand in January, and a daily battery that cannot bridge that gap.
The cost curve itself pointed at the missing component: storage with a time horizon of months instead of hours. So I added seasonal storage to the model, along the hydrogen path: an electrolyser that converts summer surplus, a storage vessel, a fuel cell for winter.
The size of the result surprised me: 90% self-sufficiency including heat drops from 117,000 to 12,900 euros per year. A factor of 9. Even 99% costs only 19,800. The wall is no longer a wall.
Trickle in, trickle out
The most interesting part is how the model sizes the installation. It chooses a large vessel (7.4 MWh) with absurdly small power ratings: a 3.2 kW electrolyser and a 2.2 kW fuel cell. Less than a kettle.
That pattern is exactly what seasonal storage is: from April to September the surplus trickles in, from October to March the neighbourhood slowly draws it down. No spectacle, just months of breathing room.
The cost structure explains the division of roles. The battery has expensive kilowatt-hours and a good round-trip efficiency; it wins day and night. The hydrogen path has dirt-cheap storage capacity (modelled at 20 euros per kWh), expensive power ratings and a round-trip of only 32.5%; it wins summer and winter. Once you have seen that pattern in the annual chart, you never confuse the two again.
The half-truth: control is half the work
Now the caveat suppliers rarely mention. The optimisation model looks ahead across the whole year with perfect foresight. A real controller does not.
So I ran the counter-test: the exact installation the model sized, but driven by a simple controller without foresight. Result: 56% self-sufficiency instead of 90%. A gap of 34 percentage points, purely from control.
The conclusion for anyone considering a neighbourhood hydrogen system: without a predictive control strategy you are not buying most of the value. The hardware is half the story; the intelligence that decides when to fill and when to draw is the other half. Closing that gap without a crystal ball is the lab''s next construction project.
The dial everything leans on
The honesty contract obliges me to write this paragraph. The entire result hangs on one assumption: the price per kilowatt-hour of storage capacity, modelled at 20 euros, with low confidence. At 100 euros per kWh, the wall does not break. That single parameter is this lab''s first calibration question, and the honest conversation you should have with any supplier before signing.
Beyond that, the same edges as in part 1 apply: weather year 2022, perfect foresight as an upper bound, net metering off. Every run closes the energy balance every hour to machine precision.
What stands: the winter wall is not a law of nature. It is a design choice, and the curve shows which dial breaks it.