SAP 10.2 §4 line 7700 + Table 3 (PDF p.159) defines primary loss
as the loss between "a heat generator (e.g. boiler) connected to a
hot water storage vessel via insulated or uninsulated pipes (the
primary pipework)". The spec keys eligibility off the heat
generator that feeds the cylinder, NOT the space-heating main.
Verbatim spec (Table 3, p.159):
Primary circuit loss applies when hot water is heated by a heat
generator (e.g. boiler) connected to a hot water storage vessel
via insulated or uninsulated pipes (the primary pipework).
Primary loss is set to zero for the following:
- Electric immersion heater
- Combi boiler (including when it is part of a combined heat
pump and boiler package and provides all the hot water)
- CPSU (including electric CPSU)
- Boiler and thermal store within a single casing
- Separate boiler and thermal store connected by no more than
1.5 m of insulated pipework
- Direct-acting electric boiler
- Heat pump (not combined heat pump and boiler package with a
non-combi boiler) from PCDB with hot water vessel integral
to package
For other cases (indirect cylinders and thermal stores connected
by uninsulated pipework or more than 1.5 m of insulated
pipework) the loss in kWh/month is calculated as follows.
Primary loss = n_m × 14 × [{0.0091 × p + 0.0245 × (1 − p)} × h
+ 0.0263]
`_water_heating_section` was routing the gate through
`_first_main_heating` (Main 1). Cert 000565 lodges ASHP Main 1 +
gas combi Main 2 + WHC 914 ("from second main system") + 160 L
combined cylinder + cylinder thermostat "N". The cylinder is
heated by Main 2 via uninsulated primary pipework, so the spec
formula applies; the cascade was zeroing (59)m because Main 1's
HP record (or its absence) drove the gate.
Fix: `_primary_loss_override` resolves its `main` via
`_water_heating_main(epc)` (the WHC-914 routing) so the
eligibility check follows the heat generator that physically
incurs the loss. Call site loses the `main` argument; the gate's
internals are unchanged.
Cert 000565 worksheet line (59)m (U985-0001-000565 Block 1):
128.3772, 115.9536, 128.3772, 124.2360, 128.3772, 41.9160,
43.3132, 43.3132, 41.9160, 128.3772, 124.2360, 128.3772
sums to 1174.79 kWh/yr. Cascade now matches every month at < 1e-4
kWh under the spec params (uninsulated p=0 from RdSAP §3 age band
A-J default, h_winter=11 / h_summer=3 from "no cylinder
thermostat" row).
Cert 000565 movements at HEAD:
- sap_score: 29 ✓ EXACT (unchanged)
- sap_score_continuous: 29.2905 → 29.1090 (Δ +0.78 → +0.60)
- space_heating_kwh: 59274.46 → 58725.77 (Δ +266 → −283)
- main_heating_fuel: 34867.33 → 34544.57 (Δ +157 → −166)
- hot_water_kwh: 3668.54 → 5154.02 (Δ −86 → +1399)
- co2_kg: 6352.61 → 6616.01 (Δ −95 → +168)
- total_fuel_cost_gbp: 4611.14 → 4627.10 (Δ −69 → −53)
- ecf: 5.3073 → 5.3256 (Δ −0.08 → −0.06)
HW pin over-shoots by +1399 as expected — the +1174.79 spec credit
is amplified by the gas combi's 0.88 water efficiency (≈ +1335
kWh) plus cascade coupling (heat-gain feedback into space heating
drops it −549 kWh). The +1399 will be pulled back by the next two
demand-cascade slices:
- (45)m energy_content over by ~903 kWh (occupancy + shower mix)
- (56)/(57)m storage-loss over by ~98 kWh + missing solar
`(57)m = (56)m × (H13 − H12)/H13` adjustment (~298 kWh)
New test pins the full 12-month (59)m tuple for cert 000565's
heating shape at abs=1e-4. Old `_first_main_heating`-based test
(`test_cert_with_hot_water_cylinder_computes_primary_loss_59m_…`)
unchanged — still passes via the WHC-901 fall-through to Main 1.
Test baseline: 547 → 548 pass (new test added) + 9 expected
`test_sap_result_pin[000565-*]` cascade-gap fails. Pyright
net-zero on both touched files (45 baseline = 45 after).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
|
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|---|---|---|
| .devcontainer | ||
| .github/workflows | ||
| .idea | ||
| .vscode | ||
| applications | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| deployment/terraform | ||
| docs/adr | ||
| 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