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QUB: A fast dynamic method for in-situ measurement of the whole building heat loss

https://doi.org/10.1016/j.enbuild.2018.06.002
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.crhy.2012.04.001openalex-snapshot
Quick measurements of energy efficiency of buildings
inferredcites →https://doi.org/10.1016/j.egypro.2015.11.107openalex-snapshot
Fast on-Site Measurement Campaigns and Simple Building Models Identification for Heating Control
inferredcites →https://doi.org/10.1016/j.enbuild.2011.02.005openalex-snapshot
Identifying suitable models for the heat dynamics of buildings
inferredcites →https://doi.org/10.1016/j.enbuild.2014.04.039openalex-snapshot
Co-heating test: A state-of-the-art
inferredcites →https://doi.org/10.1016/j.enbuild.2017.09.086openalex-snapshot
Measuring thermal performance in steady-state conditions at each stage of a full fabric retrofit to a solid wall dwelling
inferredcites →https://doi.org/10.1016/j.enbuild.2018.03.024openalex-snapshot
Comparison of whole house heat loss test methods under controlled conditions in six distinct retrofit scenarios
inferredcites →https://doi.org/10.1016/j.energy.2012.10.024openalex-snapshot
Causality issue in the heat balance method for calculating the design heating and cooling load

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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QUB/e: A Novel Transient Experimental Method for in situ Measurements of the Thermal Performance of Building Fabrics
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Using Machine Learning (ML) for Heat Transfer Coefficient (HTC) measurement in buildings: A systematic review
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Experimental investigation of building mock-ups and air source heat pumps in cold climates
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Towards the characterization of the heat loss coefficient via on-board monitoring: Physical interpretation of ARX model coefficients
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Field testing of the QUB method for assessing the thermal performance of dwellings: In situ measurements of the heat transfer coefficient of a circa 1950s detached house in UK
inferred← citeshttps://doi.org/10.1016/j.enbuild.2021.110957openalex-snapshot
Radiative heat loss estimation of building envelopes based on 3D thermographic models utilizing small unmanned aerial systems (sUAS)
inferred← citeshttps://doi.org/10.1016/j.enbuild.2021.111643openalex-snapshot
Evaluation of the precision and accuracy of the QUB/e method for assessing the as-built thermal performance of a low-energy detached house in UK
inferred← citeshttps://doi.org/10.1016/j.enbuild.2022.112211openalex-snapshot
Design of a short perturbation method for on-site estimation of a building envelope thermal performance
inferred← citeshttps://doi.org/10.1016/j.enbuild.2023.113061openalex-snapshot
A large scale artificial dataset to evaluate the impact of on-board monitoring set-ups on the Heat Transfer Coefficient assessment
inferred← citeshttps://doi.org/10.1016/j.enbuild.2023.113530openalex-snapshot
Assessing the co-heating test as reference for heat loss coefficient estimation: In-depth analysis on an artificial dataset
inferred← citeshttps://doi.org/10.1016/j.enbuild.2023.113585openalex-snapshot
The Sereine test: Advances towards short and reproducible measurements of a whole building heat transfer coefficient
inferred← citeshttps://doi.org/10.1016/j.enbuild.2024.114483openalex-snapshot
Extending the validity of co-heating tests to warmer and sunnier weather conditions using an equivalent exterior temperature
inferred← citeshttps://doi.org/10.1016/j.enbuild.2026.116984openalex-snapshot
Physics-informed machine learning for ASHRAE-compliant heat transfer coefficient estimation from short-term IoT monitoring
inferred← citeshttps://doi.org/10.1016/j.esr.2026.102038openalex-snapshot
In-situ and data-driven methods for evaluating building energy performance in the operational phase: A critical review
inferred← citeshttps://doi.org/10.1016/j.ijthermalsci.2022.107687openalex-snapshot
In situ methodology for thermal performance evaluation of building wall: A review
inferred← citeshttps://doi.org/10.1016/j.jobe.2020.101823openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.scs.2025.106235openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.segy.2023.100094openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/19401493.2018.1561753openalex-snapshot
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inferred← citeshttps://doi.org/10.1108/ijbpa-06-2021-0091openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/buildings16152968openalex-snapshot
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Sensitivity of Characterizing the Heat Loss Coefficient through On-Board Monitoring: A Case Study Analysis
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Influence of Initial and Boundary Conditions on the Accuracy of the QUB Method to Determine the Overall Heat Loss Coefficient of a Building
inferred← citeshttps://doi.org/10.3390/en13133398openalex-snapshot
Error Analysis of QUB Method in Non-Ideal Conditions during the Experiment
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Numerical and Experimental Analysis of Heat Flow at Window-to-Wall Interface
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Heat Transfer Coefficient of a Building: A Constant with Limited Variability or Dynamically Variable?
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