4.7 Article

Inferring the thermal resistance and effective thermal mass of a wall using frequent temperature and heat flux measurements

Journal

ENERGY AND BUILDINGS
Volume 78, Issue -, Pages 10-16

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.enbuild.2014.04.004

Keywords

External wall; U-Value; R-value; Thermal Mass; Bayesian Statistics; Heat Transfer; In-situ Measurements

Funding

  1. People Energy and Buildings: Distribution, Diversity and Dynamics project [EP/H051112/1]
  2. Engineering and Physical Sciences Research Council (EPSRC)
  3. EDF Group
  4. RCUK Centre for Energy Epidemiology, (EPSRC) [EP/K011839/1]
  5. Complex Built Environment Systems (CBES) Platform Grant: The Unintended Consequences of Decarbonising the Built Environment (EPSRC) [EP/I02929X/1]
  6. EPSRC [EP/H009612/1]
  7. Engineering and Physical Sciences Research Council [EP/K011839/1, EP/H051112/1, 1345975, EP/I02929X/1] Funding Source: researchfish
  8. EPSRC [EP/I02929X/1, EP/H051112/1, EP/K011839/1] Funding Source: UKRI

Ask authors/readers for more resources

Evaluating how much heat is lost through external walls is a key requirement for building energy simulators and is necessary for quality assurance and successful decision making in policy making and building design, construction and refurbishment. Heat loss can be estimated using the temperature differences between the inside and outside air and an estimate of the thermal transmittance (U-value) of the wall. Unfortunately the actual U-value may be different from those values obtained using assumptions about the materials, their properties and the structure of the wall after a cursory visual inspection. In-situ monitoring using thermometers and heat flux plates enables more accurate characterisation of the thermal properties of walls in their context. However, standard practices require that the measurements are carried out in winter over a two-week period to significantly reduce the dynamic effects of the wall's thermal mass from the data. A novel combination of a lumped thermal mass model, together with Bayesian statistical analysis is presented to derive estimates of the U-value and effective thermal mass. The method needs only a few days of measurements, provides an estimate of the effective thermal mass and could potentially be used in summer. (C) 2014 The Authors. Published by Elsevier B.V.

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