Experimental characterisation of the periodic thermal properties of walls using artificial intelligence

Bienvenido-Huertas, David; Rubio-Bellido, Carlos; Solís-Guzmán, Jaime; Oliveira, Miguel José

doi:10.1016/j.energy.2020.117871

Cited by 9 publications

(2 citation statements)

References 45 publications

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“…It can be noticed that the THM method (together with the HFM method) have been applied by Bienvenido-Huertas et al [80] to characterize the periodic thermal properties of walls using the random forest (RF) and the MLP algorithms. RF is a tree-type algorithm, effective for large datasets and able to provide smaller errors and variances compared to other algorithms.…”

Section: Thm Methodsmentioning

confidence: 99%

Comparison between Heat Flow Meter (HFM) and Thermometric (THM) Method for Building Wall Thermal Characterization: Latest Advances and Critical Review

et al. 2022

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It is well-known that on-site measurements are suitable for verifying the actual thermal performance of buildings. Performance assessed in situ, under actual thermal conditions, can substantially vary from the theoretical values. Therefore, experimental measurements are essential for better comprehending the thermal behavior of building components, by applying measurement systems and methods suitable to acquire data related to temperatures, heat flows and air speeds both related to the internal and external environments. These data can then be processed to compute performance indicators, such as the well-known thermal transmittance (U-value). This review aims at focusing on two experimental techniques: the widely used and standardized heat flow meter (HFM) method and the quite new thermometric (THM) method. Several scientific papers were analyzed to provide an overview on the latest advances related to these techniques, thus providing a focused critical review. This paper aims to be a valuable resource for academics and practitioners as it covers basic theory, in situ measurement equipment and criteria for sensor installation, errors, and new data post-processing methods.

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Section: Thm Methodsmentioning

confidence: 99%

Comparison between Heat Flow Meter (HFM) and Thermometric (THM) Method for Building Wall Thermal Characterization: Latest Advances and Critical Review

et al. 2022

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“…Regarding an existing building, the thermal transmittance could be determined by experimental methods as their reliability is greater than that of the theoretical method from International Organization for Standardization (ISO) 6946 [15]. The reason is that, in most cases, the accurate typology of layers, their thicknesses and thermal conductivity values are unknown [16], albeit recent studies by using artificial intelligence could be an opportunity to use the theoretical method more [17,18]. Nonetheless, experimental methods are today the best opportunity to characterize the thermal transmittance of existing buildings.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Environmental Impact of Thermal Transmittance Tests Performed in Façades of Existing Buildings: The Case of Spain

Bienvenido-Huertas

2020

Sustainability

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Thermal transmittance tests constitute an appropriate tool to assess the energy performance of existing buildings. The heat flow meter method and the thermometric method are the most used experimental methods. One of the main criteria to guarantee appropriate test conditions and the representation of results is to ensure a high thermal gradient. For this purpose, heating or air conditioning systems should be used from three to seven days. Most studies related to experimental methods have addressed the appropriate test conditions; however, the environmental impact related to these conditions have not been analyzed. This study analyzes the energy consumption and the CO2 emissions related to the conditions of the thermal gradient required for tests. An energy analysis of 129,600 cases located in Spain was conducted. The results showed that heating systems are the best option to perform thermal transmittance tests, whereas air conditioning systems do not guarantee appropriate test conditions. As for the energy consumption and the percentage of hours with an appropriate thermal gradient, the adequacy of the heating setpoint temperature according to the predicted estimations of the external temperature during tests would mitigate their environmental impact. The reason is that, in certain cases, the increase of the setpoint temperature does not improve test conditions. Also, the use of heating systems would imply short test durations. Finally, the selection of small rooms with a small façade length would reduce the percentage of CO2 emissions between 31.37% and 36.1%. The results of this study could guarantee a more sustainable performance of thermal transmittance tests. In addition, the results could be used to perform life cycle analysis on buildings where thermal transmittance tests are performed.

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Combining Characterization Tests of Building Envelope Thermal Transmittance with the Acoustic Characterization Through Data Mining Approaches

Berti

Tejedor

Durán

et al. 2022

Lecture Notes in Civil Engineering

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Experimental characterisation of the periodic thermal properties of walls using artificial intelligence

Cited by 9 publications

References 45 publications

Comparison between Heat Flow Meter (HFM) and Thermometric (THM) Method for Building Wall Thermal Characterization: Latest Advances and Critical Review

Comparison between Heat Flow Meter (HFM) and Thermometric (THM) Method for Building Wall Thermal Characterization: Latest Advances and Critical Review

Assessing the Environmental Impact of Thermal Transmittance Tests Performed in Façades of Existing Buildings: The Case of Spain

Combining Characterization Tests of Building Envelope Thermal Transmittance with the Acoustic Characterization Through Data Mining Approaches

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