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Streamlining the Life Cycle Assessment of Buildings by Structured Under‐Specification and Probabilistic Triage
Summary Life cycle thinking plays an important role in sustainable development in the building sector. However, the complexity of data collection and scope definition limits life cycle assessment (LCA) applications. Even if the inventory data have already been collected, tabulated, and indexed, the...
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Published in: | Journal of industrial ecology 2019-02, Vol.23 (1), p.268-279 |
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container_end_page | 279 |
container_issue | 1 |
container_start_page | 268 |
container_title | Journal of industrial ecology |
container_volume | 23 |
creator | Tecchio, Paolo Gregory, Jeremy Olivetti, Elsa Ghattas, Randa Kirchain, Randolph |
description | Summary
Life cycle thinking plays an important role in sustainable development in the building sector. However, the complexity of data collection and scope definition limits life cycle assessment (LCA) applications. Even if the inventory data have already been collected, tabulated, and indexed, the method is still time‐consuming, which may be discouraging for designers. This study demonstrates how the LCA of buildings can be robustly streamlined using structured underspecification of impact data combined with an effective and efficient triage of the data collection. Tests were conducted with a series of building typologies that were analyzed with a cradle‐to‐gate approach. The probabilistic triage approach was tested to identify selected activities requiring detailed specification because they contribute most to total impact, thereby reducing data gathering effort. Impacts such as global warming, acidification, eutrophication, and smog creation were assessed, and results showed that 40% to 46% of the bill of materials components represent 75% of total impacts of single‐family houses and multifamily buildings. By specifying only a prioritized subset of the bill of materials to the highest level of specificity, results proved to be reasonably accurate and obtainable with less effort. |
doi_str_mv | 10.1111/jiec.12731 |
format | article |
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Life cycle thinking plays an important role in sustainable development in the building sector. However, the complexity of data collection and scope definition limits life cycle assessment (LCA) applications. Even if the inventory data have already been collected, tabulated, and indexed, the method is still time‐consuming, which may be discouraging for designers. This study demonstrates how the LCA of buildings can be robustly streamlined using structured underspecification of impact data combined with an effective and efficient triage of the data collection. Tests were conducted with a series of building typologies that were analyzed with a cradle‐to‐gate approach. The probabilistic triage approach was tested to identify selected activities requiring detailed specification because they contribute most to total impact, thereby reducing data gathering effort. Impacts such as global warming, acidification, eutrophication, and smog creation were assessed, and results showed that 40% to 46% of the bill of materials components represent 75% of total impacts of single‐family houses and multifamily buildings. By specifying only a prioritized subset of the bill of materials to the highest level of specificity, results proved to be reasonably accurate and obtainable with less effort.</description><identifier>ISSN: 1088-1980</identifier><identifier>EISSN: 1530-9290</identifier><identifier>DOI: 10.1111/jiec.12731</identifier><language>eng</language><publisher>New Haven: Wiley Subscription Services, Inc</publisher><subject>Acidification ; Buildings ; Climate change ; Data collection ; Eutrophication ; Global warming ; Houses ; Housing ; hybrid models ; industrial ecology ; Life cycle analysis ; Life cycle assessment ; Life cycles ; probabilistic triage ; Residential areas ; Smog ; Specification ; Specifications ; streamlined life cycle assessment ; Streamlining ; Sustainable development ; Triage ; uncertainty</subject><ispartof>Journal of industrial ecology, 2019-02, Vol.23 (1), p.268-279</ispartof><rights>2018 by Yale University</rights><rights>2019, Yale University</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3371-c2cd19c873072804196a7b49bf38d14c5fcbebde9caa92a5cddc2489f9e6268a3</citedby><cites>FETCH-LOGICAL-c3371-c2cd19c873072804196a7b49bf38d14c5fcbebde9caa92a5cddc2489f9e6268a3</cites><orcidid>0000-0003-4304-0945</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,33223</link.rule.ids></links><search><creatorcontrib>Tecchio, Paolo</creatorcontrib><creatorcontrib>Gregory, Jeremy</creatorcontrib><creatorcontrib>Olivetti, Elsa</creatorcontrib><creatorcontrib>Ghattas, Randa</creatorcontrib><creatorcontrib>Kirchain, Randolph</creatorcontrib><title>Streamlining the Life Cycle Assessment of Buildings by Structured Under‐Specification and Probabilistic Triage</title><title>Journal of industrial ecology</title><description>Summary
Life cycle thinking plays an important role in sustainable development in the building sector. However, the complexity of data collection and scope definition limits life cycle assessment (LCA) applications. Even if the inventory data have already been collected, tabulated, and indexed, the method is still time‐consuming, which may be discouraging for designers. This study demonstrates how the LCA of buildings can be robustly streamlined using structured underspecification of impact data combined with an effective and efficient triage of the data collection. Tests were conducted with a series of building typologies that were analyzed with a cradle‐to‐gate approach. The probabilistic triage approach was tested to identify selected activities requiring detailed specification because they contribute most to total impact, thereby reducing data gathering effort. Impacts such as global warming, acidification, eutrophication, and smog creation were assessed, and results showed that 40% to 46% of the bill of materials components represent 75% of total impacts of single‐family houses and multifamily buildings. By specifying only a prioritized subset of the bill of materials to the highest level of specificity, results proved to be reasonably accurate and obtainable with less effort.</description><subject>Acidification</subject><subject>Buildings</subject><subject>Climate change</subject><subject>Data collection</subject><subject>Eutrophication</subject><subject>Global warming</subject><subject>Houses</subject><subject>Housing</subject><subject>hybrid models</subject><subject>industrial ecology</subject><subject>Life cycle analysis</subject><subject>Life cycle assessment</subject><subject>Life cycles</subject><subject>probabilistic triage</subject><subject>Residential areas</subject><subject>Smog</subject><subject>Specification</subject><subject>Specifications</subject><subject>streamlined life cycle assessment</subject><subject>Streamlining</subject><subject>Sustainable development</subject><subject>Triage</subject><subject>uncertainty</subject><issn>1088-1980</issn><issn>1530-9290</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>8BJ</sourceid><recordid>eNp9kMtOwzAQRSMEEqWw4QsssUNK8SMPe1miAkWVQGq7thx7UlylSbAToez4BL6RLyElrJnNncW5M9IJgmuCZ2SYu70FPSM0ZeQkmJCY4VBQgU-HHXMeEsHxeXDh_R5jwhKKJ0Gzbh2oQ2krW-1Q-wZoZQtAWa9LQHPvwfsDVC2qC3Tf2dIMlEd5j4Zap9vOgUHbyoD7_vxaN6BtYbVqbV0hVRn06upc5ba0vrUabZxVO7gMzgpVerj6y2mwfVhssqdw9fK4zOarUDOWklBTbYjQPGU4pRxHRCQqzSORF4wbEum40DnkBoRWSlAVa2M0jbgoBCQ04YpNg5vxbuPq9w58K_d156rhpaSEJwlL45QP1O1IaVd776CQjbMH5XpJsDwalUej8tfoAJMR_rAl9P-Q8nm5yMbOD6rTe1g</recordid><startdate>201902</startdate><enddate>201902</enddate><creator>Tecchio, Paolo</creator><creator>Gregory, Jeremy</creator><creator>Olivetti, Elsa</creator><creator>Ghattas, Randa</creator><creator>Kirchain, Randolph</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>8BJ</scope><scope>C1K</scope><scope>FQK</scope><scope>JBE</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0003-4304-0945</orcidid></search><sort><creationdate>201902</creationdate><title>Streamlining the Life Cycle Assessment of Buildings by Structured Under‐Specification and Probabilistic Triage</title><author>Tecchio, Paolo ; Gregory, Jeremy ; Olivetti, Elsa ; Ghattas, Randa ; Kirchain, Randolph</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3371-c2cd19c873072804196a7b49bf38d14c5fcbebde9caa92a5cddc2489f9e6268a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Acidification</topic><topic>Buildings</topic><topic>Climate change</topic><topic>Data collection</topic><topic>Eutrophication</topic><topic>Global warming</topic><topic>Houses</topic><topic>Housing</topic><topic>hybrid models</topic><topic>industrial ecology</topic><topic>Life cycle analysis</topic><topic>Life cycle assessment</topic><topic>Life cycles</topic><topic>probabilistic triage</topic><topic>Residential areas</topic><topic>Smog</topic><topic>Specification</topic><topic>Specifications</topic><topic>streamlined life cycle assessment</topic><topic>Streamlining</topic><topic>Sustainable development</topic><topic>Triage</topic><topic>uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tecchio, Paolo</creatorcontrib><creatorcontrib>Gregory, Jeremy</creatorcontrib><creatorcontrib>Olivetti, Elsa</creatorcontrib><creatorcontrib>Ghattas, Randa</creatorcontrib><creatorcontrib>Kirchain, Randolph</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>Environment Abstracts</collection><jtitle>Journal of industrial ecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tecchio, Paolo</au><au>Gregory, Jeremy</au><au>Olivetti, Elsa</au><au>Ghattas, Randa</au><au>Kirchain, Randolph</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Streamlining the Life Cycle Assessment of Buildings by Structured Under‐Specification and Probabilistic Triage</atitle><jtitle>Journal of industrial ecology</jtitle><date>2019-02</date><risdate>2019</risdate><volume>23</volume><issue>1</issue><spage>268</spage><epage>279</epage><pages>268-279</pages><issn>1088-1980</issn><eissn>1530-9290</eissn><abstract>Summary
Life cycle thinking plays an important role in sustainable development in the building sector. However, the complexity of data collection and scope definition limits life cycle assessment (LCA) applications. Even if the inventory data have already been collected, tabulated, and indexed, the method is still time‐consuming, which may be discouraging for designers. This study demonstrates how the LCA of buildings can be robustly streamlined using structured underspecification of impact data combined with an effective and efficient triage of the data collection. Tests were conducted with a series of building typologies that were analyzed with a cradle‐to‐gate approach. The probabilistic triage approach was tested to identify selected activities requiring detailed specification because they contribute most to total impact, thereby reducing data gathering effort. Impacts such as global warming, acidification, eutrophication, and smog creation were assessed, and results showed that 40% to 46% of the bill of materials components represent 75% of total impacts of single‐family houses and multifamily buildings. By specifying only a prioritized subset of the bill of materials to the highest level of specificity, results proved to be reasonably accurate and obtainable with less effort.</abstract><cop>New Haven</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1111/jiec.12731</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-4304-0945</orcidid><oa>free_for_read</oa></addata></record> |
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source | International Bibliography of the Social Sciences (IBSS); Business Source Ultimate; Wiley-Blackwell Read & Publish Collection |
subjects | Acidification Buildings Climate change Data collection Eutrophication Global warming Houses Housing hybrid models industrial ecology Life cycle analysis Life cycle assessment Life cycles probabilistic triage Residential areas Smog Specification Specifications streamlined life cycle assessment Streamlining Sustainable development Triage uncertainty |
title | Streamlining the Life Cycle Assessment of Buildings by Structured Under‐Specification and Probabilistic Triage |
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