A Tool for Calculating the Building Insulation Thickness for Lowest CO2 Emissions—A Greenlandic Example

Increased insulation reduces the energy needed during operations, but this may be less than the energy required for the extra insulation material. If so, there must be an optimal insulation thickness. This paper describes the development of a tool to determine the optimal insulation thickness, inclu...

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Published in:Buildings
Main Authors: Naja Kastrup Friis, Jørn Emil Gaarder, Eva Birgit Møller
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
Subjects:
LCA
Online Access:https://doi.org/10.3390/buildings12081178
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spelling ftmdpi:oai:mdpi.com:/2075-5309/12/8/1178/ 2023-08-20T04:04:41+02:00 A Tool for Calculating the Building Insulation Thickness for Lowest CO2 Emissions—A Greenlandic Example Naja Kastrup Friis Jørn Emil Gaarder Eva Birgit Møller 2022-08-06 application/pdf https://doi.org/10.3390/buildings12081178 EN eng Multidisciplinary Digital Publishing Institute Building Energy, Physics, Environment, and Systems https://dx.doi.org/10.3390/buildings12081178 https://creativecommons.org/licenses/by/4.0/ Buildings; Volume 12; Issue 8; Pages: 1178 arctic insulation thickness and materials LCA façade energy mix climate change Text 2022 ftmdpi https://doi.org/10.3390/buildings12081178 2023-08-01T05:59:15Z Increased insulation reduces the energy needed during operations, but this may be less than the energy required for the extra insulation material. If so, there must be an optimal insulation thickness. This paper describes the development of a tool to determine the optimal insulation thickness, including what parameters are decisive, and presents some results along with a discussion of the success criteria and limitations. To make these considerations manageable for regular practitioners, only the transmission heat loss through walls is calculated. Although the tool is universal, Greenland is used as an example, because of its extreme climatic conditions. The tool includes climate change, 10 locations and 8 insulation materials. It focuses on greenhouse gas emissions, considers oil and district heating as heating sources, and evaluates four different climate change scenarios expressed in terms of heating degree days. The system is sensitive to insulation materials with high CO2 emissions and heating sources with high emission factors. This is also the case where climate change has the highest impact on the insulation thickness. Using the basic criterion, emitting a minimum of CO2-eq, the Insulation Thickness Optimizer (ITO), generally identifies higher insulation thicknesses as optimal than are currently seen in practice and in most building regulations. Text Arctic Climate change Greenland greenlandic MDPI Open Access Publishing Arctic Greenland Buildings 12 8 1178
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic arctic
insulation thickness and materials
LCA
façade
energy mix
climate change
spellingShingle arctic
insulation thickness and materials
LCA
façade
energy mix
climate change
Naja Kastrup Friis
Jørn Emil Gaarder
Eva Birgit Møller
A Tool for Calculating the Building Insulation Thickness for Lowest CO2 Emissions—A Greenlandic Example
topic_facet arctic
insulation thickness and materials
LCA
façade
energy mix
climate change
description Increased insulation reduces the energy needed during operations, but this may be less than the energy required for the extra insulation material. If so, there must be an optimal insulation thickness. This paper describes the development of a tool to determine the optimal insulation thickness, including what parameters are decisive, and presents some results along with a discussion of the success criteria and limitations. To make these considerations manageable for regular practitioners, only the transmission heat loss through walls is calculated. Although the tool is universal, Greenland is used as an example, because of its extreme climatic conditions. The tool includes climate change, 10 locations and 8 insulation materials. It focuses on greenhouse gas emissions, considers oil and district heating as heating sources, and evaluates four different climate change scenarios expressed in terms of heating degree days. The system is sensitive to insulation materials with high CO2 emissions and heating sources with high emission factors. This is also the case where climate change has the highest impact on the insulation thickness. Using the basic criterion, emitting a minimum of CO2-eq, the Insulation Thickness Optimizer (ITO), generally identifies higher insulation thicknesses as optimal than are currently seen in practice and in most building regulations.
format Text
author Naja Kastrup Friis
Jørn Emil Gaarder
Eva Birgit Møller
author_facet Naja Kastrup Friis
Jørn Emil Gaarder
Eva Birgit Møller
author_sort Naja Kastrup Friis
title A Tool for Calculating the Building Insulation Thickness for Lowest CO2 Emissions—A Greenlandic Example
title_short A Tool for Calculating the Building Insulation Thickness for Lowest CO2 Emissions—A Greenlandic Example
title_full A Tool for Calculating the Building Insulation Thickness for Lowest CO2 Emissions—A Greenlandic Example
title_fullStr A Tool for Calculating the Building Insulation Thickness for Lowest CO2 Emissions—A Greenlandic Example
title_full_unstemmed A Tool for Calculating the Building Insulation Thickness for Lowest CO2 Emissions—A Greenlandic Example
title_sort tool for calculating the building insulation thickness for lowest co2 emissions—a greenlandic example
publisher Multidisciplinary Digital Publishing Institute
publishDate 2022
url https://doi.org/10.3390/buildings12081178
geographic Arctic
Greenland
geographic_facet Arctic
Greenland
genre Arctic
Climate change
Greenland
greenlandic
genre_facet Arctic
Climate change
Greenland
greenlandic
op_source Buildings; Volume 12; Issue 8; Pages: 1178
op_relation Building Energy, Physics, Environment, and Systems
https://dx.doi.org/10.3390/buildings12081178
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/buildings12081178
container_title Buildings
container_volume 12
container_issue 8
container_start_page 1178
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