fba45d1111
SAP 10.2 Table 4a (PDF p.166) Cat 7 "Electric storage heaters"
splits the responsiveness R between two sub-tables:
Off-peak tariff:
Slimline storage heaters ... R = 0.2 402
Convector storage heaters ... R = 0.2 403
Slimline + Celect-type control ... R = 0.4 405
Convector + Celect-type ctrl ... R = 0.4 406
24-hour heating tariff:
Slimline storage heaters ... R = 0.4 402
Convector storage heaters ... R = 0.4 403
Slimline + Celect-type control ... R = 0.6 405
Convector + Celect-type ctrl ... R = 0.6 406
Per SAP 10.2 §12.4.3 (PDF p.36) the 18-hour tariff has electricity
at low rate for 18 hours per day with at most 6h of interruption /
2h max each — operationally equivalent to 24-hour for storage-heater
charging. The cascade therefore routes EIGHTEEN_HOUR + TWENTY_FOUR_
HOUR through the 24-hour Table 4a sub-row.
Pre-slice `_responsiveness` keyed on `sap_main_heating_code` only
and returned R=0.2 for code 402 regardless of tariff. The existing
docstring already flagged the gap:
402: 0.20, # Slimline storage heaters (24-hr tariff: 0.40)
... "promote to (sap_code, tariff) lookup when 24-hour fixture
surfaces; until then the off-peak default applies (under-shoots
R for the 24-hour case)."
Per-line walk on electric 5 (sap_main_heating_code=402 +
meter_type="18 Hour"): cascade T_living (87)[Jan] = 20.1213 vs
worksheet 19.6519, (92)[Jan] = 18.6996 vs worksheet 18.2063, (93)
[Jan] = 19.0996 vs worksheet 18.6063 (cascade +0.4933 K throughout
the cascade). Back-solve from worksheet T_living=19.6519 via the
Table 9b Tsc formula:
Tsc(R=0.4) = 0.6 × (21-2) + 0.4 × (4.3 + 0.9933 × 705.4/210.23)
= 11.4 + 0.4 × 7.6325 = 14.4528
ΔT = 21 - 14.4528 = 6.5472
u_sum = 0.5 × 6.5472 × (7² + 8²) / (24 × 11.43) = 1.3481
T_living = 21 - 1.3481 = 19.6519 EXACT match.
Adds:
- `_CONTINUOUS_CHARGING_TARIFFS: frozenset[Tariff]` = {EIGHTEEN_
HOUR, TWENTY_FOUR_HOUR} — the tariffs treated as "24-hour
heating" for Table 4a R selection.
- `_RESPONSIVENESS_24_HOUR_OVERRIDE_BY_SAP_CODE: dict[int, float]`
— the override table for codes 402/403/405/406 (404, 407, 409
keep the same R in both sub-tables).
- `tariff: Optional[Tariff]` parameter to `_responsiveness`, with
the override consulted before the off-peak default.
- Tariff threaded through both call sites of MIT cascade (rating
+ demand paths) via `tariff_from_meter_type`.
Closures electric 5:
ΔSAP −1.1759 → +0.1081 (91% reduction)
Δcost +£27.09 → −£2.49
ΔCO2 +62.72 → +7.30 kg
ΔPE +438.03 → +0.07 kWh (essentially EXACT)
Electric 5 now joins the same residual cluster as electric 3/6/7/8/
9 (+0.09..+0.12 SAP, −£2..−£3 cost, +£7 CO2) — the cluster that
the prior handovers suspected was a shared shave-the-residual gap.
No regressions on the other 24 cohort variants. Extended handover
suite: 903 pass / 0 fail (was 902 — +1 from the new AAA test).
Pyright net-zero (43 → 43).
Σ |ΔSAP_c| across the 25-variant cohort: 2.30 → 1.24 (~46%
reduction from this slice).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
|
||
|---|---|---|
| .devcontainer | ||
| .github/workflows | ||
| .idea | ||
| .vscode | ||
| applications | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| deployment/terraform | ||
| docs | ||
| domain | ||
| epr_data_exports | ||
| etl | ||
| infrastructure | ||
| model_data/requirements | ||
| orchestration | ||
| recommendations | ||
| repositories | ||
| scripts | ||
| sfr/principal_pitch | ||
| survey_report | ||
| tests | ||
| utilities | ||
| utils | ||
| .coveragerc | ||
| .dockerignore | ||
| .gitignore | ||
| __init__.py | ||
| ara_backend_design.md | ||
| BaseUtility.py | ||
| CLAUDE.md | ||
| conftest.py | ||
| CONTEXT.md | ||
| devcontainer.sh | ||
| Dockerfile.test | ||
| Dockerfile.test.dockerignore | ||
| Makefile | ||
| MEMORY.md | ||
| package-lock.json | ||
| package.json | ||
| pyproject.toml | ||
| pyrightconfig.json | ||
| pytest.ini | ||
| README.md | ||
| run_lambda_local.sh | ||
| serverless.yml | ||
| test.requirements.txt | ||
| tox.ini | ||
| UBIQUITOUS_LANGUAGE.md | ||
Model Repository
This repository contains the code pertaining to the development of the data science and machine learning products being utilised by Hestia.
The different folders in this repository relate to services that can be used independently, or can be imported and used as part of a larger application
Getting Started
Prerequisites
Dev Container Setup
This repo uses a Docker Compose-based dev container. The model-backend service joins a shared-dev Docker network so it can communicate with other local services (e.g. a frontend container) running on your machine.
VS Code users: The initializeCommand in devcontainer.json creates the shared-dev network automatically before the container starts. No manual step required — just open the repo and select Reopen in Container.
Non-VS Code / CI workflows: Run the following once before starting the container:
make dev-setup
This is idempotent and safe to re-run if the network already exists.
Folders
backend/
This folder contains the code for the fastapi backend service, which provides an interface to much of the functionality in this repository, for the frontend
model_data/
This folder contains related to the reading and preparation of assessment model data, including pulling out epc attributes
Testing
All tests can be run, against the configuration in pytest.ini running
pytest
This will run the complete panel of tests and report on coverage in the locations specified by the pytest.ini file.
To run tests in a specific service, e.g. inside of model_data, simply run
pytest --cov-config=model_data/.coveragerc --cov=model_data
This will produce the test results and coverage reports