Inverse Identification of Thermal Properties of Fibrous Insulation from Transient Temperature Measurements

Zhao, Shaorong; Zhang, Boming; Du, Shanyi; He, Xiaodong

doi:10.1007/s10765-009-0680-5

Cited by 19 publications

(8 citation statements)

References 18 publications

(16 reference statements)

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“…These methods have been applied to a variety of identification problems. Readers can refer to Ozisik and Orlande (2000), Zhao et al (2009) and Zmywaczyk (2006) for examples of identification problems solved using local sensitivity methods, to Gosselin et al (2009) for a review of use of genetic algorithms for identification problems and to Koci et al (2012) and Wang and Xu (2006) for examples of application in building physics. They are considered as references in this work.…”

Section: Case Studymentioning

confidence: 99%

Estimation of temperature-dependent thermal conductivity using proper generalised decomposition for building energy management

Berger

Gasparin

Chhay

et al. 2016

Journal of Building Physics

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A proper generalised decomposition for solving inverse heat conduction problems is proposed in this article as an innovative method offering important numerical savings. It is based on the solution of a parametric problem, considering the unknown parameter as a coordinate of the problem. Then, considering this solution, all sets of cost function can be computed as a function of the unknown parameter of the defined domain, identifying the argument that minimises the cost function. In order to illustrate the applicability, the method is used to solve a non-linear inverse heat conduction problem to determine a temperature-dependent thermal conductivity. Then, a comparison is carried out with the local sensitivity and the genetic algorithm methods. It is shown that the proper generalised decomposition method estimates the unknown parameter with the same accuracy as the other two methods. Due to its advantage in terms of reducing the complexity, the method was then used to solve a transient three-dimensional nonlinear heat transfer inverse problem. The results have shown that the method is appropriate to determine the unknown parameter with a low computational cost. Downloaded from Furthermore, the main advantage of the technique is its low capacity for storage, which can be used, as an inverse method, for building energy management and extended to evaluate thermal bridges from on-site measurements.

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Section: Case Studymentioning

confidence: 99%

Estimation of temperature-dependent thermal conductivity using proper generalised decomposition for building energy management

Berger

Gasparin

Chhay

et al. 2016

Journal of Building Physics

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“…where k * sm and k * sa are the thermal conductivity of mullite crystal [29] and amorphous phase [30], respectively. X c is the crystallinity of mullite, which can be obtained from previous X-ray diffraction analysis shown in Ref.…”

Section: Thermal Conductive Propertiesmentioning

confidence: 99%

Simultaneous reconstruction of thermal degradation properties for anisotropic scattering fibrous insulation after high temperature thermal exposures

Zhao

Zhang

et al. 2015

Applied Thermal Engineering

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“…They assume homogeneous temperature distribution in the sample and reach an accuracy of ± 10 % with respect to the declared standard value. Using the measured transient temperature response, Zhao et al used a special numerical method to identify the equivalent radiative properties and thermal conductivities of fibrous insulations [7]. The corresponding specific heat was not determined but taken from a previous publication.…”

Section: Introductionmentioning

confidence: 99%

Measuring the Specific Heat Capacity of Thermal Insulation Materials Used in Buildings by Means of a Guarded Hot Plate Apparatus

2022

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The specific heat capacity of building insulation materials is rather difficult to be determined using the conventional calorimetric methods. This is due to the small samples required for these methods which are not representative of the insulation material. Larger samples would not fulfill the requirements of the lumped system. Methods based on the transient heat transfer using heating wires or planes are commonly quick but less accurate measurements as they only consider the volume near the surface of the sample and need additional corrections and calibrations. The present investigation is based on a transient temperature control procedure using a common guarded hot plate device, which is normally used to determine the thermal conductivity of insulation materials. The procedure was performed on two different materials: one wood-based (wood fiber) and one mineral-based (expanded perlite). The results show a value of about 1200 J·kg−1·K−1 for the former and 600 J·Kg−1·K−1 for the latter. This method can also be extended to other thermal insulation materials for building application.

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Inverse Identification of Thermal Properties of Fibrous Insulation from Transient Temperature Measurements

Cited by 19 publications

References 18 publications

Estimation of temperature-dependent thermal conductivity using proper generalised decomposition for building energy management

Estimation of temperature-dependent thermal conductivity using proper generalised decomposition for building energy management

Simultaneous reconstruction of thermal degradation properties for anisotropic scattering fibrous insulation after high temperature thermal exposures

Measuring the Specific Heat Capacity of Thermal Insulation Materials Used in Buildings by Means of a Guarded Hot Plate Apparatus

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