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OHM coefficients — Flats with gas boilers operated in occupied rooms only evidence record

a10.343
a20.152
a3-44.4
ohmlondoncityLand-cover classXie 2024

Parameters

Names follow the SUEWS YAML specification; click one for its definition in the configuration reference.

a10.343
a20.152
a3-44.4

Provenance evidence

Awaiting sign-off

Fitted · assessed by provenance-audit · 2026-08-21. Agent assessment is evidence preparation, not human verification.

Could residential air-source heat pumps exacerbate outdoor summer overheating and winter overcooling in UK 2050s climate scenarios?Parameter source

Where: Table S1, QF,B / Occupied / Flat / GB column, rows a1, a2, and a3, p. 1

Reports the exact triplet 0.343, 0.152, -44.4.

Where: Equation (4), Objective Hysteresis Model, p. 3

Defines a1, a2, and a3 as the SUEWS OHM coefficients.

Where: Section 2.1, Neighbourhood-scale climate modelling, p. 3-4

States that building coefficients are derived from EnergyPlus simulation results and points to Table S1.

Where: Section 2.4, Building energy simulation, p. 5

Defines the flat archetype and idealised neighbourhood.

Where: Section 2.6, Comparison scenarios, p. 6

Distinguishes occupied-rooms operation from whole-building operation.

Where: Section 3.1, London base case for 2050s climate projection, p. 6

Establishes London as the model-scenario place for Table S1 cases.

Assessment findings

Namesupported
Table S1 identifies the QF,B occupied-rooms, flat, gas-boiler scenario; Section 2.6 defines occupied-rooms operation.
Targetsupported
Equation (4) and Table S1 identify a1, a2, and a3 as SUEWS OHM coefficients.
Valuessupported
Table S1 reports a1 = 0.343, a2 = 0.152, and a3 = -44.4 for this exact scenario.
Sourcesupported
Xie et al. 2024 directly publishes the stored triplet in Table S1.
Placesupported
London is the model-scenario place: the coefficients are applied to the idealised London neighbourhood under the 2050s climate scenario.
Representativenesssupported
The city tag denotes the London scenario context; the source models an idealised neighbourhood and does not claim a city-wide observation.
Applicable Scalesupported
Xie et al. Equation (4) and Table S1 define building-surface-class coefficients before cover-fraction weighting produces neighborhood storage heat, so these scenarios are land-cover-scale inputs.
issue #46
Methodsupported
The paper states that the building coefficients are derived from EnergyPlus simulation results, so these are fitted/model-derived OHM parameters rather than direct measurements.
Identitysupported
The triplet occupies the distinct flat, gas-boiler, occupied-rooms column in Table S1.

Scientific note

Xie et al. is the parameter publication: it derives the OHM coefficients from EnergyPlus outputs and publishes the exact triplet in Supplement Table S1. The values are not direct observations, a later compilation, external validation, or an internal database calculation. No separate input_data, compilation, or validation relationship is asserted. London is a model-scenario application using an idealised neighbourhood rather than an observational study site.

Model-ready fragment

Paste under ohm_coefficients in a SUEWS YAML configuration; every value carries its citation.

a1:
  value: 0.343
  ref:
    ID: xie2024
    DOI: 10.1016/j.scs.2024.105811
    desc: london, city, land_cover
a2:
  value: 0.152
  ref:
    ID: xie2024
    DOI: 10.1016/j.scs.2024.105811
    desc: london, city, land_cover
a3:
  value: -44.4
  ref:
    ID: xie2024
    DOI: 10.1016/j.scs.2024.105811
    desc: london, city, land_cover

Evidence review

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Review procedure

Record metadata

Placelondon
Scopecity
Applicable scaleLand-cover class
Targetohm_coefficients · docs
Origin“London” (verbatim legacy string)
Schema2026.5 · legacy row 50240032
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