The Feasibility of Improving the Accuracy of In Situ Measurements in the Air-Surface Temperature Ratio Method

Kim, Seohoon; Lee, Jung-Hun; Kim, Jong-Hun; Yoo, Seung‐Hwan; Jeong, Hakgeun

doi:10.3390/en11071885

Cited by 15 publications

(12 citation statements)

References 33 publications

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“…In the case of Method 5, which creates an imaginary center point, values are omitted for the existing variables used for principal component extraction In both methods, the difference is clearly revealed in the variables PC1 and Y01, and representative buildings with particularly opposite values in the building envelope U-value, which is the first main component containing the most information on the existing variables, were derived. Figure 6 shows the parameters of representative buildings derived by methods 5 In the case of Method 5, which creates an imaginary center point, values are omitted for the existing variables used for principal component extraction In both methods, the difference is clearly revealed in the variables PC1 and Y01, and representative buildings with particularly opposite values in the building envelope U-value, which is the first main component containing the most information on the existing variables, were derived.…”

Section: Clustering Results After Dimension Reduction (Principal Compomentioning

confidence: 99%

“…Accordingly, the government has revised and implemented the subdivision of regional classification and strengthening of the heat permeation rate (W/(m 2 •K)) of buildings in each region since September 2018 to expand the distribution of energy-saving buildings, but it is limited to new buildings [3]. To achieve the GHG emission forecast for the building sector, which was aimed at by 2030, it is time to try to improve energy efficiency not only for new construction but also for existing buildings [4,5]. For energy efficiency, high efficiency of equipment in existing buildings is also important, but first, it is necessary to improve the energy efficiency of the building itself so as to minimize the energy demand (kWh/(m 2 •a)) of the building [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

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Statistical Methodology for the Definition of Standard Model for Energy Analysis of Residential Buildings in Korea

et al. 2020

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This study was conducted to propose an optimal methodology for deriving a standard model from existing residential buildings. To strategically improve existing residential buildings, it is necessary to identify standard models that can be used as quantitative standards. In this study, a total of six methods were established for different algorithms in the dimensionality reduction and clustering stage of the data preprocessing stage. In addition, a total of 22,342 households’ data were analyzed, and a total of 26 variables were used to perform cluster analysis. The process of method 6 (data pre-processing, principal components analysis, clustering [K-medoids], verification) was proposed as a way to derive the standard model from the existing Korean housing. The method proposed in this study is capable of deriving a number of standard models considering all variables (n) in a single analysis. The representative building derived in this study contains a lot of building data, so it can be effectively used for planning and research related to buildings on a regional and national scale. In addition, this process can be applied to various buildings to derive representative buildings.

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Section: Clustering Results After Dimension Reduction (Principal Compomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Statistical Methodology for the Definition of Standard Model for Energy Analysis of Residential Buildings in Korea

et al. 2020

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“…Nonetheless, experimental methods are today the best opportunity to characterize the thermal transmittance of existing buildings. A total of three methods with different characteristics can be distinguished: the method from ISO 9869- 1 [19] (also known as heat flow meter method), infrared thermography methods [20][21][22][23][24] and the thermometric method [25][26][27]. The heat flow meter method is the only method developed by a standard, so professionals use it the most and many research studies have studied it [28,29].…”

Section: Introductionmentioning

confidence: 99%

“…In the same study [36], the authors reflected that the error in evaluating the thermal transmittance with surface temperature measurements is reduced to 6%. The method has been validated through the tests carried out by Andújar-Márquez et al [37], Bienvenido-Huertas et al [25] and Kim et al [26,27]. One of the main limitations of the thermometric method is the value associated with the total heat transfer coefficient.…”

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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“…Therefore, information between different sites characterized by different construction realities cannot be generalized. In light of this consideration, specific investigations on the energy diagnosis of the existing historical buildings are necessary to know the basic "initial" data for the development of any project on the efficiency of the building envelope [4]. The intervention on historical walls, in fact, highlights the difficulty of identifying design solutions that are effective and compatible due to the lack of specific data on their thermal characteristics.…”

Section: Introductionmentioning

confidence: 99%

Thermal Transmittance Measurements of the Historical Masonries: Some Case Studies

Rotilio¹,

Cucchiella²,

Berardinis³

et al. 2018

Energies

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The background shows that intervention on historical walls highlights the difficulty of identifying design solutions that are effective and compatible due to the lack of specific data on the thermal characteristics of the specific contexts investigated. This determines the choice of design solutions that are frequently inadequate and unsustainable from an environmental and economic point of view. Starting from acquired data a methodology has been developed that is based on in situ experimental investigations able to return the most probable value of transmittance of the historical walls. The values measured on the samples analysed do not reflect the literature data. For some of the samples analysed, the measured transmittance is lower than the one recorded in literature of about 10–15%. For the remaining ones, there are no reference values. The importance of an in-depth knowledge of the real behaviour of an existing historical envelope of a building is therefore fundamental, given that any evaluation mistake can have serious consequences from both an economic and environmental point of view. Underestimating the transmittance of a wall implies a waste in the use of available resources but also the disposal of greater quantities of building materials in relation to the end of life. The developed methodology can be easily replicated in other contexts and extended to all building elements that make up the historical envelope. The study will be continued by analysing further samples in order to create a reference knowledge database accessible to researchers, professionals and organizations.

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The Feasibility of Improving the Accuracy of In Situ Measurements in the Air-Surface Temperature Ratio Method

Cited by 15 publications

References 33 publications

Statistical Methodology for the Definition of Standard Model for Energy Analysis of Residential Buildings in Korea

Statistical Methodology for the Definition of Standard Model for Energy Analysis of Residential Buildings in Korea

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

Thermal Transmittance Measurements of the Historical Masonries: Some Case Studies

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