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

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  • Seo-Hoon Kim

    (Energy ICT∙ESS Laboratory, Korea Institute of Energy Research, Daejeon 34101, Korea
    Department of Architectural Engineering, Hanyang University, Seoul 04763, Korea)

  • Jung-Hun Lee

    (Energy ICT∙ESS Laboratory, Korea Institute of Energy Research, Daejeon 34101, Korea
    Department of Architectural Engineering, Sungkyunkwan University, Suwon 16419, Korea)

  • Jong-Hun Kim

    (Energy ICT∙ESS Laboratory, Korea Institute of Energy Research, Daejeon 34101, Korea)

  • Seung-Hwan Yoo

    (Energy ICT∙ESS Laboratory, Korea Institute of Energy Research, Daejeon 34101, Korea)

  • Hak-Geun Jeong

    (Energy ICT∙ESS Laboratory, Korea Institute of Energy Research, Daejeon 34101, Korea)

Abstract

This paper reports on a feasibility study conducted to improve the in situ measurement accuracy of the air-surface temperature ratio (ASTR) method. The measured relative error rate was analyzed using the ISO 6946 [7.69 W/(m 2 ·K)] and Korea Energy Saving Design Standard [9.09 W/(m 2 ·K)] indoor total surface heat transfer coefficients. The relative error rate was analyzed according to fluctuations in outdoor temperature data. The relative error rate obtained using the ISO 6946 standard was analyzed about 6.3% and that obtained using the Korea Energy Saving Design Standard was about 9.5%. The relative error rate measured for outdoor temperature fluctuations of less than 1 K was about 4.62% and that for temperatures greater than 1 K was about 14.31%. The study results confirmed the cause of the error in the measurement of the ASTR. It was also found that the accuracy of the latter can be improved when the ISO 6946 indoor total surface heat transfer coefficient is applied and when outdoor temperature fluctuations less than 1 K are sampled and analyzed.

Suggested Citation

  • Seo-Hoon Kim & Jung-Hun Lee & Jong-Hun Kim & Seung-Hwan Yoo & Hak-Geun Jeong, 2018. "The Feasibility of Improving the Accuracy of In Situ Measurements in the Air-Surface Temperature Ratio Method," Energies, MDPI, vol. 11(7), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1885-:d:158885
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    References listed on IDEAS

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    1. Ballarini, Ilaria & Corgnati, Stefano Paolo & Corrado, Vincenzo, 2014. "Use of reference buildings to assess the energy saving potentials of the residential building stock: The experience of TABULA project," Energy Policy, Elsevier, vol. 68(C), pages 273-284.
    2. Giuliano Dall'O' & Luca Sarto & Angela Panza, 2013. "Infrared Screening of Residential Buildings for Energy Audit Purposes: Results of a Field Test," Energies, MDPI, vol. 6(8), pages 1-20, July.
    3. Albatici, Rossano & Tonelli, Arnaldo M. & Chiogna, Michela, 2015. "A comprehensive experimental approach for the validation of quantitative infrared thermography in the evaluation of building thermal transmittance," Applied Energy, Elsevier, vol. 141(C), pages 218-228.
    4. Lee, Junghun & Kim, Seohoon & Kim, Jonghun & Song, Doosam & Jeong, Hakgeun, 2018. "Thermal performance evaluation of low-income buildings based on indoor temperature performance," Applied Energy, Elsevier, vol. 221(C), pages 425-436.
    5. Ji Hyun Oh & Hyun Jung Yoo & Sun Sook Kim, 2016. "Evaluation of Strategies to Improve the Thermal Performance of Steel Frames in Curtain Wall Systems," Energies, MDPI, vol. 9(12), pages 1-13, December.
    6. Seo-Hoon Kim & Jong-Hun Kim & Hak-Geun Jeong & Kyoo-Dong Song, 2018. "Reliability Field Test of the Air–Surface Temperature Ratio Method for In Situ Measurement of U-Values," Energies, MDPI, vol. 11(4), pages 1-15, March.
    7. Mi-Su Shin & Kyu-Nam Rhee & Ji-Yong Yu & Gun-Joo Jung, 2017. "Determination of Equivalent Thermal Conductivity of Window Spacers in Consideration of Condensation Prevention and Energy Saving Performance," Energies, MDPI, vol. 10(5), pages 1-21, May.
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    Cited by:

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    2. Bienvenido-Huertas, David & Moyano, Juan & Rodríguez-Jiménez, Carlos E. & Marín, David, 2019. "Applying an artificial neural network to assess thermal transmittance in walls by means of the thermometric method," Applied Energy, Elsevier, vol. 233, pages 1-14.
    3. Iole Nardi & Elena Lucchi, 2023. "In Situ Thermal Transmittance Assessment of the Building Envelope: Practical Advice and Outlooks for Standard and Innovative Procedures," Energies, MDPI, vol. 16(8), pages 1-31, April.
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    5. Hye-Ryeong Nam & Seo-Hoon Kim & Seol-Yee Han & Sung-Jin Lee & Won-Hwa Hong & Jong-Hun Kim, 2020. "Statistical Methodology for the Definition of Standard Model for Energy Analysis of Residential Buildings in Korea," Energies, MDPI, vol. 13(21), pages 1-16, November.

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