Ben verder gegaan met dit mooie idee:
- maximum en minimum batterij levels toegevoegd. Zodat de batterij niet verder dan leeg, of overvol geladen zal worden
- gebruik gemaakt van het het gemiddelde energieverbruik over 1 minuut, voor wat meer nauwkeurigheid
- variabelen gebruikt, zodat je makkelijk de batterij specs kan aanpassen (als je een andere batteriij wil testen)
- Een aparte flow voor het triggeren van de energiemeting (voor als je meerdere batterijen wilt simuleren)
- Tip: dupliceer de flow om meerdere batterijen parallel te testen
De trigger flow voor energiemeting.
Hiervoor gebruik ik 2 apps:
-
Added return on investment calculation:
** based on dynamic contract, using prices from the power by the hour app
** energy to the battery reduces the ROI (you would have received money for return energy
** energy usage from the battery adds to the ROI
De batterij flow
Je kunt deze flow ook importeren
met de device capabilities app.
Zie voor instructies de device capabilities thread
tijdens de import kan je de variabelen aanpassen
Zie ook deze post
TEF:
[tef:FLOWS:"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":/tef]