IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i7p1885-d158885.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/7/1885/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/7/1885/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marianna Rotilio & Federica Cucchiella & Pierluigi De Berardinis & Vincenzo Stornelli, 2018. "Thermal Transmittance Measurements of the Historical Masonries: Some Case Studies," Energies, MDPI, vol. 11(11), pages 1-18, November.
    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.
    4. Mariusz Owczarek & Barbara Nasiłowska, 2024. "Theoretical Analysis Based on Experimental Studies of Heat and Moisture Fluxes Penetrating Through a Masonry Wall Above Ground Level in an Annual Cycle," Energies, MDPI, vol. 17(22), pages 1-21, November.
    5. David Bienvenido-Huertas, 2020. "Assessing the Environmental Impact of Thermal Transmittance Tests Performed in Façades of Existing Buildings: The Case of Spain," Sustainability, MDPI, vol. 12(15), pages 1-18, August.
    6. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. Bienvenido-Huertas, David & Moyano, Juan & Marín, David & Fresco-Contreras, Rafael, 2019. "Review of in situ methods for assessing the thermal transmittance of walls," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 356-371.
    4. Seyoung Park & Seo Hoon Kim & Hakgeun Jeong & Sung Lok Do & Jonghun Kim, 2021. "In Situ Evaluation of the U-Value of a Window Using the Infrared Method," Energies, MDPI, vol. 14(7), pages 1-14, March.
    5. David Bienvenido-Huertas, 2020. "Assessing the Environmental Impact of Thermal Transmittance Tests Performed in Façades of Existing Buildings: The Case of Spain," Sustainability, MDPI, vol. 12(15), pages 1-18, August.
    6. 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.
    7. Doo Sung Choi & Myeong Jin Ko, 2017. "Comparison of Various Analysis Methods Based on Heat Flowmeters and Infrared Thermography Measurements for the Evaluation of the In Situ Thermal Transmittance of Opaque Exterior Walls," Energies, MDPI, vol. 10(7), pages 1-22, July.
    8. O'Grady, Małgorzata & Lechowska, Agnieszka A. & Harte, Annette M., 2017. "Quantification of heat losses through building envelope thermal bridges influenced by wind velocity using the outdoor infrared thermography technique," Applied Energy, Elsevier, vol. 208(C), pages 1038-1052.
    9. Martin, Miguel & Chong, Adrian & Biljecki, Filip & Miller, Clayton, 2022. "Infrared thermography in the built environment: A multi-scale review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    10. Doo Sung Choi & Myeong Jin Ko, 2019. "Analysis of Convergence Characteristics of Average Method Regulated by ISO 9869-1 for Evaluating In Situ Thermal Resistance and Thermal Transmittance of Opaque Exterior Walls," Energies, MDPI, vol. 12(10), pages 1-18, May.
    11. Marianna Rotilio & Federica Cucchiella & Pierluigi De Berardinis & Vincenzo Stornelli, 2018. "Thermal Transmittance Measurements of the Historical Masonries: Some Case Studies," Energies, MDPI, vol. 11(11), pages 1-18, November.
    12. Lucchi, Elena, 2018. "Applications of the infrared thermography in the energy audit of buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3077-3090.
    13. Zoe Mayer & Julia Heuer & Rebekka Volk & Frank Schultmann, 2021. "Aerial Thermographic Image-Based Assessment of Thermal Bridges Using Representative Classifications and Calculations," Energies, MDPI, vol. 14(21), pages 1-43, November.
    14. Rossano Albatici & Alessia Gadotti & Christian Baldessari & Michela Chiogna, 2016. "A Decision Making Tool for a Comprehensive Evaluation of Building Retrofitting Actions at the Regional Scale," Sustainability, MDPI, vol. 8(10), pages 1-17, September.
    15. Roberta Pernetti & Riccardo Pinotti & Roberto Lollini, 2021. "Repository of Deep Renovation Packages Based on Industrialized Solutions: Definition and Application," Sustainability, MDPI, vol. 13(11), pages 1-18, June.
    16. Becchio, Cristina & Bottero, Marta Carla & Corgnati, Stefano Paolo & Dell’Anna, Federico, 2018. "Decision making for sustainable urban energy planning: an integrated evaluation framework of alternative solutions for a NZED (Net Zero-Energy District) in Turin," Land Use Policy, Elsevier, vol. 78(C), pages 803-817.
    17. Solène Goy & François Maréchal & Donal Finn, 2020. "Data for Urban Scale Building Energy Modelling: Assessing Impacts and Overcoming Availability Challenges," Energies, MDPI, vol. 13(16), pages 1-23, August.
    18. Langevin, J. & Reyna, J.L. & Ebrahimigharehbaghi, S. & Sandberg, N. & Fennell, P. & Nägeli, C. & Laverge, J. & Delghust, M. & Mata, É. & Van Hove, M. & Webster, J. & Federico, F. & Jakob, M. & Camaras, 2020. "Developing a common approach for classifying building stock energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    19. Hanan S.S. Ibrahim & Ahmed Z. Khan & Shady Attia & Yehya Serag, 2021. "Classification of Heritage Residential Building Stock and Defining Sustainable Retrofitting Scenarios in Khedivial Cairo," Sustainability, MDPI, vol. 13(2), pages 1-26, January.
    20. Baglivo, Cristina & Congedo, Paolo Maria & D'Agostino, Delia & Zacà, Ilaria, 2015. "Cost-optimal analysis and technical comparison between standard and high efficient mono-residential buildings in a warm climate," Energy, Elsevier, vol. 83(C), pages 560-575.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1885-:d:158885. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.