Paul1977:
fastbike:
Unless you can run a model on a reasonably fine time base then those models are pretty useless. I was able to source production data for a nearby site (then correct it for PVpeak, orientation and slope) and I had consumption data down to 5 min resolution from our own meter so could build an accurate model across 12 months showing the net import/export at each 15 minute period. Then I could plug in various tariffs and come up with an estimated savings figure.
I have since validated it with real data from the last year which showed my modelling was a bit low for gross PV output.
3 months after the PV was installed I put in battery to time shift peak consumption, so we now self supply >95% of peak consumption. The advantage is we run our house as a house, not as a power optimization appliance.
I've taken 12 months worth of power consumption down to 30min resolution. Fed that along with as many details as I could about the proposed inverter, solar panels, orientation, roof pitch, location etc into ChatGPT for it to calculate estimates.
So our consumption data is very accurate, but some assumptions will have been made about what the solar generation will look like. I think it should be reasonably close to reality.
If you are Chch based i could send you some production data
