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Khalim Conn-Kowlessar 8507728237 Slice S0380.157: SAP 10.2 Table 2b note b) WHC=903 electric-immersion guard
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 parenthetical list restricts the rule to systems where the heat
generator (boiler / warm-air / HP) is the device heating the
cylinder. Electric immersion is NOT in that list because the
immersion isn't a heat-generator system feeding DHW — it sits inside
the cylinder. The ×0.9 multiplier reflects shorter cylinder-heating
periods when a boiler / HP / warm-air operates on a separate timer
for DHW vs SH; if the heat generator doesn't feed the cylinder at all
(because the immersion does), there's no such timing effect.

Pre-slice `_separately_timed_dhw` returned True for any Cat 4 HP
main BEFORE consulting WHC (line 3872 `if main.main_heating_category
== 4: return True`). For electric 2 (sap_main_heating_code=524 Cat 5
warm-air ASHP, main_heating_category=4 per Elmhurst mapper, WHC=903
electric immersion + cylinder + cylinder thermostat lodged), the
cat-4 branch fired before the existing `_is_electric_water` check
could route the cert to False. The cascade applied ×0.9 to the
Temperature Factor (53), pulling (55) from 1.2294 → 1.1064 → cascade
annual (56) = 403.87 vs worksheet (56) annual = 448.73.

Same WHC=903 principle as the prior slice S0380.156 (Table 3 zero-
loss list for electric immersion): when HW is independent of the
main heating, main-heating-specific DHW rules don't apply — even
when the main happens to be a HP / boiler / warm-air system.

Fix: new top-of-function `if epc.sap_heating.water_heating_code ==
_WHC_ELECTRIC_IMMERSION: return False` guard in
`_separately_timed_dhw`. Reuses the constant introduced in S0380.156.

Closures electric 2:
  Cylinder (56) storage loss annual 403.87 → 448.73 (matches
  worksheet 1.2294 × 365 = 448.73 EXACT within rounding)
  HW kWh demand 2339.24 → 2384.12 (matches worksheet (62)/(64) =
  2384.116 EXACT)
  ΔSAP +0.8118 → +0.7002
  Δcost −£18.71 → −£16.14
  ΔCO2 −7.21 → −2.37 kg
  ΔPE −161.68 → −108.58 kWh

The remaining +0.70 SAP residual is a separate upstream gap (likely
warm-air-HP SH cascade or Table 4a SH efficiency for code 524) —
follow-up slice.

No regressions on the other 24 cohort variants. Cohort-1 ASHP certs
(Cat 4 HP + WHC=901 = HW from HP + cylinder) keep ×0.9 as before
because their WHC=901 doesn't trigger the new guard. Extended
handover suite: 901 pass / 0 fail (was 900 — +1 from the new AAA
test). Pyright net-zero (43 → 43).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-04 15:40:25 +00:00
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.vscode added utils to allow easier subtask management 2026-03-02 15:15:39 +00:00
applications reformatted to be DDD structure 2026-06-04 14:50:04 +00:00
asset_list redeploy old postcode splitter 2026-05-21 09:46:47 +00:00
backend Slice S0380.157: SAP 10.2 Table 2b note b) WHC=903 electric-immersion guard 2026-06-04 15:40:25 +00:00
backlog implemented onboarding 2026-04-21 20:23:33 +00:00
datatypes Merge remote-tracking branch 'origin/main' into feature/landlord_data 2026-06-01 17:02:20 +00:00
deployment/terraform tests files 2026-06-04 11:47:42 +00:00
docs reformatted to be DDD structure 2026-06-04 14:50:04 +00:00
domain Slice S0380.157: SAP 10.2 Table 2b note b) WHC=903 electric-immersion guard 2026-06-04 15:40:25 +00:00
epr_data_exports allowing carbon and energy otimisation by removing slack 2025-07-31 19:13:16 +01:00
etl booking status 2026-06-01 16:28:47 +00:00
infrastructure tests files 2026-06-04 11:47:42 +00:00
model_data/requirements its working the way khalim wanted wiht postcode and then search that 2026-01-22 15:17:13 +00:00
orchestration reformatted to be DDD structure 2026-06-04 14:50:04 +00:00
recommendations save 2026-05-07 15:55:44 +00:00
repositories reformatted to be DDD structure 2026-06-04 14:50:04 +00:00
scripts feat(ingestion): relocate EpcClientService to infrastructure + SolarRepo (#1133) 2026-06-01 16:28:48 +00:00
sfr/principal_pitch added added historic epc data class with shape 2026-05-08 12:03:35 +00:00
survey_report quidos site notes extraction 2025-02-18 19:49:29 +00:00
tests reformatted to be DDD structure 2026-06-04 14:50:04 +00:00
utilities get rid of comments 2026-05-20 13:21:11 +00:00
utils rename files in sharepoint to desired structure 2026-05-20 16:26:07 +00:00
.coveragerc fixed unit tests 2023-10-05 16:04:12 +01:00
.dockerignore deployment from infrastructure 2026-05-19 12:55:30 +00:00
.gitignore fixed merge conflicts from main 2026-05-26 11:21:09 +00:00
__init__.py added checking for directory before creation and made some minor style changes 2023-08-25 15:21:17 +01:00
ara_backend_design.md refactor: lift-and-shift packages/domain/src/domain/ml → domain/sap10_ml 2026-05-26 13:01:35 +00:00
BaseUtility.py fixed missing task and subtask for single remote assessments 2025-11-27 17:50:26 +00:00
CLAUDE.md fixed merge conflicts from main 2026-05-26 11:21:09 +00:00
conftest.py working on integrating new EPC api into address2UPRN 2026-04-27 11:32:44 +00:00
CONTEXT.md feat(baseline): BaselineOrchestrator + BaselinePerformance aggregate (#1135) 2026-06-01 16:28:48 +00:00
devcontainer.sh add dev container 2026-04-17 14:50:57 +00:00
Dockerfile.test fix: address 22 project-wide test failures from previous sweep 2026-05-26 13:34:51 +00:00
Dockerfile.test.dockerignore deployment from infrastructure 2026-05-19 12:55:30 +00:00
Makefile adding to dev container to create shared network on start up 2026-04-25 15:03:07 +00:00
MEMORY.md memory 2026-04-02 10:24:31 +00:00
package-lock.json restructuring openUrpn code 2023-07-20 11:41:43 +01:00
package.json restructuring openUrpn code 2023-07-20 11:41:43 +01:00
pyproject.toml slice 14a: ml_training_data pkg + sample.py (CSV filter + random sample) 2026-05-16 17:39:43 +00:00
pyrightconfig.json slice 14d: build_features wires bulk reader -> mapper -> EpcMlTransform 2026-05-16 18:38:41 +00:00
pytest.ini tests files 2026-06-04 11:47:42 +00:00
README.md adding to dev container to create shared network on start up 2026-04-25 15:03:07 +00:00
run_lambda_local.sh debugging local lambda run and updating the sap point checking condition 2023-09-13 18:47:12 +01:00
serverless.yml added logic to add to serverless 2026-04-22 12:39:44 +00:00
test.requirements.txt tests wrong environemnt 2026-05-29 16:17:06 +00:00
tox.ini removing playright install for integration test 2026-04-30 20:08:13 +00:00
UBIQUITOUS_LANGUAGE.md standardist Address 2026-06-01 16:32:48 +00:00

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