First, what is using so much energy in your house? I understand it's all electric but it was built in 2022 so it should be efficient. Your consumption seems very high.
In comparison my house is all electric, family of four and I'm averaging 1340kwh a month.
Do you have something very energy intensive? Mining Bitcoin? Charging evs?
My house is 3300 sqft and besides your normal household things I have:
- 2x chest freezers
- 2x Heat pumps (4 ton downstairs and 2.5 ton upstairs)
- 2x water heaters that, combined, draw 10kw (These are connected in parallel. I need to change to series and use one as an in-line spare)
- Pool with 2.75 hp main pump and 1 hp accessory pump
I work from home upstairs and my wife is a stay at home mom. All of my children are also still in the nap stage, 2.5yo and below, and they nap upstairs. What this means is our HVAC is almost always working. We also like the temperature low which doesn't help energy use.
Edit: no EVs and no bitcoin
Secondly, you don't show any draw at all from the grid between 4pm and 10pm. With the amount of energy you use that seems almost impossible. In the heat of summer, with ac running hard, water heater and other daily activities you are almost certain to exceed 12kw at times meaning you will pull some from the grid during those times.
4p -10p I should be running off batteries and selling excess which would require monthly sell to grid adjustments in the inverter. You can see those credits on line 21. You should also see that by 9pm Jun-Sep I'll run out of battery and have to rely on grid for that last hour, hence the high monthly charge during those months on the last line. I've attached my avg kwh usage by hour and month. Of course there will be times when I exceed 12kw, mostly during winter, but the average will be less than that.
Have you done a deep dive into your 15 minute data to see how often you exceeded 12kw during peak times?
Looking at the attached sql query you can see the amount of times I've exceeded 12kw (3kw in 15 minutes).
Edit: that's 2 years of data