Aerial Thermographic Image-Based Assessment of Thermal Bridges Using Representative Classifications and Calculations

Since the middle of the 20th century many any buildings were built without any energy standards and still have a comparably poor energy quality. To obtain an overview of the current thermal quality of buildings in a whole city district, it may be promising to work with thermographic images obtained...

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Autores principales:	Zoe Mayer, Julia Heuer, Rebekka Volk, Frank Schultmann
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	buildings energy retrofits thermal bridges thermography energy assessment drones Technology T
Acceso en línea:	https://doaj.org/article/9b67e5f762834a44b8837b6fb7c17cb0
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spelling	oai:doaj.org-article:9b67e5f762834a44b8837b6fb7c17cb02021-11-11T16:04:43ZAerial Thermographic Image-Based Assessment of Thermal Bridges Using Representative Classifications and Calculations10.3390/en142173601996-1073https://doaj.org/article/9b67e5f762834a44b8837b6fb7c17cb02021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7360https://doaj.org/toc/1996-1073Since the middle of the 20th century many any buildings were built without any energy standards and still have a comparably poor energy quality. To obtain an overview of the current thermal quality of buildings in a whole city district, it may be promising to work with thermographic images obtained by unmanned aerial vehicles (UAV). Aerial thermography represents a fast and cost-efficient approach compared to traditional terrestrial thermography. In this paper, we describe an approach to finding thermal bridges on aerial thermographic images and characterizing them in terms of their risk of mold formation, energy losses, retrofit costs, and retrofit benefits. To identify thermal bridge types that can be detected reliably on aerial thermographic images, we use a dataset collected with a UAV in an urban district of the German city of Karlsruhe. We classify and characterize 14 relevant thermal bridge types for the German building cohorts of the 1950s and 1960s. Concerning the criterion of mold formation, thermal bridges of window components, basement ceiling slabs, balcony slabs, floor slabs, and attics are found to be particularly relevant to retrofit projects. Regarding energy savings, the retrofit of thermal bridges of window sills, window lintels, and attics shows high potential. The retrofit of attics seems to be less attractive, when also taking into account the necessary retrofit costs.Zoe MayerJulia HeuerRebekka VolkFrank SchultmannMDPI AGarticlebuildingsenergy retrofitsthermal bridgesthermographyenergy assessmentdronesTechnologyTENEnergies, Vol 14, Iss 7360, p 7360 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	buildings energy retrofits thermal bridges thermography energy assessment drones Technology T
spellingShingle	buildings energy retrofits thermal bridges thermography energy assessment drones Technology T Zoe Mayer Julia Heuer Rebekka Volk Frank Schultmann Aerial Thermographic Image-Based Assessment of Thermal Bridges Using Representative Classifications and Calculations
description	Since the middle of the 20th century many any buildings were built without any energy standards and still have a comparably poor energy quality. To obtain an overview of the current thermal quality of buildings in a whole city district, it may be promising to work with thermographic images obtained by unmanned aerial vehicles (UAV). Aerial thermography represents a fast and cost-efficient approach compared to traditional terrestrial thermography. In this paper, we describe an approach to finding thermal bridges on aerial thermographic images and characterizing them in terms of their risk of mold formation, energy losses, retrofit costs, and retrofit benefits. To identify thermal bridge types that can be detected reliably on aerial thermographic images, we use a dataset collected with a UAV in an urban district of the German city of Karlsruhe. We classify and characterize 14 relevant thermal bridge types for the German building cohorts of the 1950s and 1960s. Concerning the criterion of mold formation, thermal bridges of window components, basement ceiling slabs, balcony slabs, floor slabs, and attics are found to be particularly relevant to retrofit projects. Regarding energy savings, the retrofit of thermal bridges of window sills, window lintels, and attics shows high potential. The retrofit of attics seems to be less attractive, when also taking into account the necessary retrofit costs.
format	article
author	Zoe Mayer Julia Heuer Rebekka Volk Frank Schultmann
author_facet	Zoe Mayer Julia Heuer Rebekka Volk Frank Schultmann
author_sort	Zoe Mayer
title	Aerial Thermographic Image-Based Assessment of Thermal Bridges Using Representative Classifications and Calculations
title_short	Aerial Thermographic Image-Based Assessment of Thermal Bridges Using Representative Classifications and Calculations
title_full	Aerial Thermographic Image-Based Assessment of Thermal Bridges Using Representative Classifications and Calculations
title_fullStr	Aerial Thermographic Image-Based Assessment of Thermal Bridges Using Representative Classifications and Calculations
title_full_unstemmed	Aerial Thermographic Image-Based Assessment of Thermal Bridges Using Representative Classifications and Calculations
title_sort	aerial thermographic image-based assessment of thermal bridges using representative classifications and calculations
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/9b67e5f762834a44b8837b6fb7c17cb0
work_keys_str_mv	AT zoemayer aerialthermographicimagebasedassessmentofthermalbridgesusingrepresentativeclassificationsandcalculations AT juliaheuer aerialthermographicimagebasedassessmentofthermalbridgesusingrepresentativeclassificationsandcalculations AT rebekkavolk aerialthermographicimagebasedassessmentofthermalbridgesusingrepresentativeclassificationsandcalculations AT frankschultmann aerialthermographicimagebasedassessmentofthermalbridgesusingrepresentativeclassificationsandcalculations
_version_	1718432429452034048

Aerial Thermographic Image-Based Assessment of Thermal Bridges Using Representative Classifications and Calculations

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