You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
When using a electricity supplier with a variable/dynamic pricing, like Tbiber, it can be useful to use battery power mostly during price spikes.
Using a python wrapper for the Tibber ( https://pypi.org/project/tibber.py/ ) data from tibber can be queried for the current point in time as well as the future.
Using pricing data for the upcoming 24 hours, an algorithm could decide, which portion of the current houshold consumption should be supplied from battery, and which portion should be supplied from a chap price range.
The text was updated successfully, but these errors were encountered:
I recently switched to tibber myself and I’ve been thinking of that too. However I didn’t have a good idea yet how this could be considered exactly.
Some logic like a contribution weight was my initial thought.
Or using the allow_day_discharge together with a price threshold dynamically…
Then I was looking at the impact and estimated that the benefit would be rather marginal.
Open for discussion though!
kr
When using a electricity supplier with a variable/dynamic pricing, like Tbiber, it can be useful to use battery power mostly during price spikes.
Using a python wrapper for the Tibber ( https://pypi.org/project/tibber.py/ ) data from tibber can be queried for the current point in time as well as the future.
Using pricing data for the upcoming 24 hours, an algorithm could decide, which portion of the current houshold consumption should be supplied from battery, and which portion should be supplied from a chap price range.
The text was updated successfully, but these errors were encountered: