In this PR I add a notebook for better exploring EFS data. Templated out in in are all subsector plots for California, Texas and New England, resampled to weekly sums. (Good idea @ktehranchi on re-sampling; way easier to understand!)
A couple general thoughts looking at the high-electrification/rapid scenario are:
A lot of load for residential is being burried in the "other" sub sector for all regions. Will probably be good to clarify what is actually in this load.
Residential "clothes and dish washing/drying" for Texas and California have considerably higher jumps from 2030-2040-2050 compared to New England.
Residential/Commercial Space Heating and Cooling for California and Texas dont change too much; but that may be fair if heating demand isnt very much in these regions currently. NE's space heating demand shows significant uptick for winter electrification, which def makes sense.
Residential Water heating does not change for NE which is surprising.
Commercial Water heating for NE seems to decrease a lot between 2018 and 2024. This is also a little surprising, but given the amount of load hidden in the "other" category, this may be due to other factors.
There is a big jump in light-duty EV load between 2030 and 2040, which makes sense. However, there is an almost equally big jump (~80% the size) between 2040 and 2050 for all regions. I guess for hgih-electrification and rapid adoption, I would have expected the 2040-2050 jump to be lower. But may just be me reading into it.
Commercial water heating in all regions for all years has a noticeable (and abrupt) dip in the middle months. Would be good to figure out whats causing this.
Checklist
[ ] I tested my contribution locally and it seems to work fine.
[ ] Code and workflow changes are sufficiently documented.
[ ] Changed dependencies are added to envs/environment.yaml.
[ ] Changes in configuration options are added in all of config.default.yaml.
[ ] Changes in configuration options are also documented in doc/configtables/*.csv.
Closes #228
Changes proposed in this Pull Request
In this PR I add a notebook for better exploring EFS data. Templated out in in are all subsector plots for California, Texas and New England, resampled to weekly sums. (Good idea @ktehranchi on re-sampling; way easier to understand!)
A couple general thoughts looking at the high-electrification/rapid scenario are:
Checklist
envs/environment.yaml
.config.default.yaml
.doc/configtables/*.csv
.