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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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European Heat Pump Keymark Population Dataset and COP Models for Cold-Climate Building Simulation

Authors: Võsa, Karl-Villem; Simson, Raimo; Mikola, Alo; Kurnitski, Jarek;

European Heat Pump Keymark Population Dataset and COP Models for Cold-Climate Building Simulation

Abstract

A statistical-population treatment of the European Heat Pump KEYMARK certification corpus for air-to-water heat pumps: deduplicated test-point data, population-scale EN 14825 SCOP validation, mixed-effects population COP models with per-product uncertainty, Estonian climate-transfer data, building archetype load profiles, and standalone conversion code for dynamic building energy simulation. Contents models/ — Mixed-effects population COP models of the Log+InvSqrt form COP = β₂ + β₀·ln(ΔT) + β₁/√ΔT, with per-product random effects. All-climate variant (53,551 EN 14825 test points, 3,395 heat-pump groups: β₀ = −1.8528, β₁ = +18.0463, β₂ = +7.2602) and cold-only variant (11,397 Colder-zone points, 979 groups: β₀ = −2.5819, β₁ = +6.6052, β₂ = +11.7252), plus functional-form comparison tables. scop_validation/ — Batch EN 14825 bin-method SCOP recalculation for 26,478 valid configuration×climate×supply-temperature rows (declared vs recalculated SCOP and deviations); implementation validated against the EN 14825:2018 Annex H reference example (3.60 vs 3.61). training_data/ — The 53,551 deduplicated EN 14825 part-load test points (COP vs temperature lift, with supply temperature, climate zone, and group identifiers) used for model training. climate/ — Estonian test reference year (1990–2020) heating-season hours mapped to 1 °C bins alongside the EN 14825 Colder template, with part-load factors and population COP per bin; population SCOP shape factors under both climates. archetypes/ — Synthetic hourly space-heating and DHW load profiles for two Estonian single-family-house archetypes (pre-retrofit and nZEB), with parameter manifests. code/ — Standalone Python implementations of the EN 14825 bin-method SCOP calculator and the four-step SCOP→hourly-COP conversion (heating curve → population COP shape → α-rescaling → capacity-aware piecewise operation) for dynamic building simulation. extended_results/ — Extended tables and figures with additional population statistics (joint SH+DHW cohort, random-effects covariance, DHW statistics, TRY bin redistribution, model-form comparison, data-quality screens). Provenance and rights. All quantities are derived from the publicly available Heat Pump KEYMARK certification database (https://keymark.eu/, accessed 18 March 2026). The deposit is not a verbatim copy of that registry: it contains the authors’ deduplicated, harmonised, quality-screened, and computed compilation in the authors’ own structure. Declared certificate values embedded in the derived tables are factual technical data published by the certification scheme for market transparency; any database rights of the scheme owner in the original registry are unaffected by this deposit. Licensing. Derived data (CSV/JSON): CC BY 4.0, applying to the authors’ compilation, structure, and computed content. Code (code/): MIT License. Funding. Estonian Research Council grant PRG2154; Estonian Centre of Excellence in Energy Efficiency, ENER (grant TK230), funded by the Estonian Ministry of Education and Research; research infrastructure “Energy efficiency and renewable energy research infrastructure” (TARISTU24-TK12). A peer-reviewed journal article by the authors describes the methodology and findings in detail; its reference will be linked in this record once available. Please cite this deposit via its DOI.

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Keywords

heat pump, SCOP, EN 14825, Keymark, cold climate, mixed-effects model, building energy simulation, COP model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average