Recent submissions

Comment · 1 month ago
Added. Tonnes per day next to the percent. Ranks the grids differently, you were right.
Comment · 1 month ago
That dashboard is great. The UK is probably the best case for this in Europe. Moving the washing machine is basically what my model assumes, except it assumes everyone does it every day. NESO publishes a carbon intensity API, so the UK is an easy one to add. On the list.
Comment · 1 month ago
Good link. Germany is the case where it works cleanly — more renewables, lower price, lower carbon, all moving the same direction.
Comment · 1 month ago
English is not my mother language. Yes, I polished. My prefered one was Carbon-aware electricity pricing but seemed so general.
Comment · 1 month ago
Hey guys, A small site that checks, every day, whether making electricity cheaper when the grid is clean would actually cut CO₂.

It reads yesterday's generation mix from ENTSO-E and the EIA, works out the carbon intensity hour by hour, and compares a normal tariff against two carbon-aware ones.

It started for Switzerland, which turned out to be a good place to start for an odd reason. Swiss electricity is already very clean — about 34 gCO₂/kWh — and yet it's one of the best grids in the set at 2.4%, because it imports from dirtier neighbours and its carbon intensity swings through the day. Louisville, at 741 g/kWh, gets 0.01%: it burns coal at the same rate around the clock, so there's no cleaner hour to move into.

Across 38 grids, the correlation between the saving and how dirty a grid is comes out slightly negative. With how much it varies, it's 0.91. Being dirty doesn't help at all — being uneven is the whole thing.

Fair warning: the demand response is a model rather than measured behaviour, and it uses average carbon intensity, not marginal. Happy to hear your thoughts.

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