Insulation Thickness Optimizer, ITO
The Excel file contains an interactive tool, ITO, standing for "Insulation Thickness Optimizer". The purpose is to make it quick and straightforward to identify the insulation thickness with minimum CO2 emissions. The tool is developed for Copenhagen, nine Greenlandic destinations and eigh...
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Online Access: | https://doi.org/10.11583/dtu.19672470.v1 https://figshare.com/articles/dataset/Insulation_Thickness_Optimizer_ITO/19672470 |
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ftdtufig:oai:figshare.com:article/19672470 2023-05-15T15:05:44+02:00 Insulation Thickness Optimizer, ITO Naja Kastrup Friis 2022-08-08T08:30:00Z https://doi.org/10.11583/dtu.19672470.v1 https://figshare.com/articles/dataset/Insulation_Thickness_Optimizer_ITO/19672470 unknown doi:10.11583/dtu.19672470.v1 https://figshare.com/articles/dataset/Insulation_Thickness_Optimizer_ITO/19672470 CC BY 4.0 CC-BY Models and simulations of design Sustainable design insulation materials Arctic Greenland Tool LCA CO2 emissions Climate Change Energy mix Sustainability Facades Dataset 2022 ftdtufig https://doi.org/10.11583/dtu.19672470.v1 2022-08-10T23:08:38Z The Excel file contains an interactive tool, ITO, standing for "Insulation Thickness Optimizer". The purpose is to make it quick and straightforward to identify the insulation thickness with minimum CO2 emissions. The tool is developed for Copenhagen, nine Greenlandic destinations and eight insulation products. The necessary inputs are: - The building location - The insulation type - How the waste is handled - ESL, Estimated Service Life of the building These basic inputs produce the following outputs: - Eopt, the minimum possible emissions - dopt, the corresponding insulation thickness to Eopt Formulas, inputs and parameters can be adjusted for the tool, ITO, to fit any location, insulation material and other conditions. To use the tool it is necessary to have a license for Excel. The reference to the peer-reviewed article will be added when it has been published. Please cite this work as: N.K. Friis. 2022. Insulation Thickness Optimizer, ITO. Dataset. Technical University of Denmark, 10.11583/DTU.19672470. This work is licensed under a CCBY 4.0 license. Contact: Naja Kastrup Friis, orcid:0000-0002-1371-573X nfri@dtu.dk Dataset Arctic Climate change Greenland greenlandic Technical University of Denmark (DTU): Fighsare Arctic Greenland |
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Technical University of Denmark (DTU): Fighsare |
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unknown |
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Models and simulations of design Sustainable design insulation materials Arctic Greenland Tool LCA CO2 emissions Climate Change Energy mix Sustainability Facades |
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Models and simulations of design Sustainable design insulation materials Arctic Greenland Tool LCA CO2 emissions Climate Change Energy mix Sustainability Facades Naja Kastrup Friis Insulation Thickness Optimizer, ITO |
topic_facet |
Models and simulations of design Sustainable design insulation materials Arctic Greenland Tool LCA CO2 emissions Climate Change Energy mix Sustainability Facades |
description |
The Excel file contains an interactive tool, ITO, standing for "Insulation Thickness Optimizer". The purpose is to make it quick and straightforward to identify the insulation thickness with minimum CO2 emissions. The tool is developed for Copenhagen, nine Greenlandic destinations and eight insulation products. The necessary inputs are: - The building location - The insulation type - How the waste is handled - ESL, Estimated Service Life of the building These basic inputs produce the following outputs: - Eopt, the minimum possible emissions - dopt, the corresponding insulation thickness to Eopt Formulas, inputs and parameters can be adjusted for the tool, ITO, to fit any location, insulation material and other conditions. To use the tool it is necessary to have a license for Excel. The reference to the peer-reviewed article will be added when it has been published. Please cite this work as: N.K. Friis. 2022. Insulation Thickness Optimizer, ITO. Dataset. Technical University of Denmark, 10.11583/DTU.19672470. This work is licensed under a CCBY 4.0 license. Contact: Naja Kastrup Friis, orcid:0000-0002-1371-573X nfri@dtu.dk |
format |
Dataset |
author |
Naja Kastrup Friis |
author_facet |
Naja Kastrup Friis |
author_sort |
Naja Kastrup Friis |
title |
Insulation Thickness Optimizer, ITO |
title_short |
Insulation Thickness Optimizer, ITO |
title_full |
Insulation Thickness Optimizer, ITO |
title_fullStr |
Insulation Thickness Optimizer, ITO |
title_full_unstemmed |
Insulation Thickness Optimizer, ITO |
title_sort |
insulation thickness optimizer, ito |
publishDate |
2022 |
url |
https://doi.org/10.11583/dtu.19672470.v1 https://figshare.com/articles/dataset/Insulation_Thickness_Optimizer_ITO/19672470 |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Arctic Climate change Greenland greenlandic |
genre_facet |
Arctic Climate change Greenland greenlandic |
op_relation |
doi:10.11583/dtu.19672470.v1 https://figshare.com/articles/dataset/Insulation_Thickness_Optimizer_ITO/19672470 |
op_rights |
CC BY 4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.11583/dtu.19672470.v1 |
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1766337375727779840 |