4876140a97
SAP 10.2 §4 "Heat networks" (PDF p.17 line 1482):
"Primary circuit loss for insulated pipework and cylinderstat
should be included (see Table 3)."
SAP 10.2 Table 2b note b (PDF p.159) verbatim:
"Multiply Temperature Factor by 0.9 if there is separate time
control of domestic hot water (boiler systems, warm air systems
and heat pump systems)."
The Table 2b note b ×0.9 multiplier is restricted to "boiler / warm
air / heat pump systems" — community heating is omitted from that
verbatim list. Pre-slice the cascade applied the ×0.9 reduction
unconditionally when DHW was separately timed, AND omitted the Table
3 primary-loss path for heat-network mains entirely. Combined the
two gaps under-counted (62)m HW total demand by ~320 kWh/yr for
heating-systems corpus 001431 community heating 1 (8164 + 0 vs
448.74 + 273.90 spec losses).
Three changes:
1. New `_HEAT_NETWORK_PIPEWORK_INSULATION_FRACTION = 1.0` constant.
`_primary_loss_override` selects this for heat-network mains
instead of the RdSAP §3 age-band default, per the spec's literal
"insulated pipework" + back-solve from worksheet (59) Jan = 23.26
= 31 × 14 × (0.0091×3 + 0.0263).
2. Extended `_primary_loss_applies` with a new branch: heat-network
main + WHC ∈ {901, 902, 914} + cylinder present → primary loss
applies.
3. New `_table_2b_note_b_multiplier_applies(epc, main)` predicate
that gates the ×0.9 storage-loss reduction on the spec's verbatim
system-type list, returning False for heat-network mains. The
primary-loss `_separately_timed_dhw` continues to return True for
community heating (Table 3's "separately timed" row is system-
type-agnostic and gives h=3 all year).
Closures (heating-systems corpus 001431):
CH1 HW kWh 3391.90 → 3854.12 (= ws 3854.1175, abs Δ < 1e-3)
CH1 HW cost £143.82 → £163.41 (= ws £163.41, EXACT)
CH1 (65)m heat gains 793.51 → 1221.62 (= ws 1221.62, EXACT)
CH2/CH3/CH4/CH6 same shape — HW path closes against ws (310).
§4 fix is spec-correct on all 5 CH variants. The closure surfaces a
separate §7 MIT (92)m over-count of +0.46 K (cascade Jan = 17.22 vs
ws 16.76) that the pre-slice (65)m gain under-count was masking. Per
[[feedback-software-no-special-handling]] apply the spec-correct
fix uniformly; new pinned residuals reflect the exposed MIT gap.
New residuals (vs pre-slice):
CH1 ΔSAP -0.5273 → -1.0572 ΔPE -9.15 → +408.67
CH2 ΔSAP -0.0076 → -0.4187 ΔPE +1506 → +1779
CH3 ΔSAP -0.5273 → -1.0572 ΔPE -387.03 → -239.03
CH4 ΔSAP -0.0076 → -0.4187 ΔPE +494.61 → +767.13
CH6 ΔSAP -8.0295 → -8.4406 ΔPE +7864.60 → +8137.11
927 pass + 0 fail (+1 new test). No regressions on the other 36
corpus variants — the gate is narrow on `_is_heat_network_main`.
Pyright net-zero (43 → 43) on cert_to_inputs.py + tests.
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