Embedded cost-of-service analysis for ri_hp_rates

[jpvelez]

What

Perform an embedded cost-of-service analysis for HP vs. non-HP customers in Rhode Island, as aprt of the ri_hp_rates report. The methodology for how to do so are in @sherry's write up from R2-11, which is available here, namely in sections 2.3.3, 2.3.4, and 2.4.

Why

Even though marginal cost-of-service-based approaches to measuring the cross-subsidy that likely exists between HP and non-HP customers in RIE's territory make more sense, Rhode Island is an embedded cost-of-service state, so we'll need to show the what it means to do this comparison and cost-of-service terms, in order to explain why it is incomplete.

How

• Read sections 2.3.3, 2.3.4, and 2.4 of the RI methodology write-up
• Write a quick notebook that quantifies what percent of RI bldgs in 2024.2 upgrade 0 have heat pumps, if any
  • If none do, we'll likely need to construct a mixed upgrade scenario where 99% of customers are on upgrade 0, and 1% of customers are randomly selected to be on upgrade 2 (medium performance cold-climate ASHP)
• Clarify and document the full methodology (assuming 2024.2 resstock data) in sufficient detail to 1. get validation from @sherry and 2. be unblocked for implementing the analysis via polars in a quarto notebook
• Produce a polars quarto notebook that compares the embedded cost-of-service of HP and non-HP customers
  • The notebook should assume the reader knows a little python and polars, but otherwise holds the readers hand through the data prep and computations, perhaps using LaTeX formulas where it makes sense to tie to Sherry's write-up. (Later on, this will be that basis for the corresponding section of the report's Data & Methods section.)
  • The notebook should write-up the key results and any complementary analysis that is performed (Later on, this will be that basis for the section of the ri_hp_rates report on the emedded cost of service analysis, which will be written by @jpv .)

Deliverables

• UPDATE ME

[linear]

R2-85