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...

Full description

Bibliographic Details
Main Author: Naja Kastrup Friis
Format: Dataset
Language:unknown
Published: 2022
Subjects:
LCA
Online Access:https://doi.org/10.11583/dtu.19672470.v1
https://figshare.com/articles/dataset/Insulation_Thickness_Optimizer_ITO/19672470
id ftdtufig:oai:figshare.com:article/19672470
record_format openpolar
spelling 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
institution Open Polar
collection Technical University of Denmark (DTU): Fighsare
op_collection_id ftdtufig
language unknown
topic Models and simulations of design
Sustainable design
insulation materials
Arctic
Greenland
Tool
LCA
CO2 emissions
Climate Change
Energy mix
Sustainability
Facades
spellingShingle 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
_version_ 1766337375727779840