Framework for evaluating the thermal insulation performance of existing residential buildings using the infrared thermal image and image processing method

T. Hong, K. Jeong, C. Koo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Various green projects were executed to reduce the energy consumption in building sector. In particular, it is necessary to improve the thermal insulation performance of existing residential buildings. Even though it is critical to evaluate the thermal insulation performance in operation and maintenance phase, most of the policies and previous studies have focused on thermal insulation materials and systems in design phase. To address this limitation, this study aimed to develop the framework for evaluating the thermal insulation performance of existing residential buildings using the infrared thermal image and image processing method. Towards this end, this study was conducted in two steps: (i) establishment of the building information and infrared thermal image; and (ii) estimation of the thermal loss areas in building surface using the image processing. The result of this study could help building users and managers to estimate the thermal insulation performance in operation and maintenance phase.

Original languageEnglish
Title of host publication32nd International Symposium on Automation and Robotics in Construction and Mining
Subtitle of host publicationConnected to the Future, Proceedings
PublisherInternational Association for Automation and Robotics in Construction I.A.A.R.C)
ISBN (Electronic)9789517585972
DOIs
Publication statusPublished - 2015
Event32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, ISARC 2015 - Oulu, Finland
Duration: 2015 Jun 152015 Jun 18

Publication series

Name32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings

Other

Other32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, ISARC 2015
CountryFinland
CityOulu
Period15/6/1515/6/18

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Artificial Intelligence
  • Civil and Structural Engineering
  • Hardware and Architecture

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    Hong, T., Jeong, K., & Koo, C. (2015). Framework for evaluating the thermal insulation performance of existing residential buildings using the infrared thermal image and image processing method. In 32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings (32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings). International Association for Automation and Robotics in Construction I.A.A.R.C). https://doi.org/10.22260/isarc2015/0058