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A Comprehensive Dynamic Life Cycle Assessment Model: Considering Temporally and Spatially Dependent Variations
Life cycle assessment (LCA) is a widely-used international environmental evaluation and management method. However, the conventional LCA is in a static context without temporal and spatial variations considered, which fails to bring accurate evaluation values and hinders practical applications. Dyna...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657249/ https://www.ncbi.nlm.nih.gov/pubmed/36360878 http://dx.doi.org/10.3390/ijerph192114000 |
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author | Su, Shu Ju, Jingyi Ding, Yujie Yuan, Jingfeng Cui, Peng |
author_facet | Su, Shu Ju, Jingyi Ding, Yujie Yuan, Jingfeng Cui, Peng |
author_sort | Su, Shu |
collection | PubMed |
description | Life cycle assessment (LCA) is a widely-used international environmental evaluation and management method. However, the conventional LCA is in a static context without temporal and spatial variations considered, which fails to bring accurate evaluation values and hinders practical applications. Dynamic LCA research has developed vigorously in the past decade and become a hot topic. However, systematical analysis of spatiotemporal dynamic variations and comprehensive operable dynamic models are still lacking. This study follows LCA paradigm and incorporates time- and space-dependent variations to establish a spatiotemporal dynamic LCA model. The dynamic changes are classified into four types: dynamic foreground elementary flows, dynamic background system, dynamic characterization factors, and dynamic weighting factors. Their potential dynamics and possible quantification methods are analyzed. The dynamic LCA model is applied to a residential building, and significant differences can be observed between dynamic and static assessment results from both temporal and spatial perspectives. This study makes a theoretical contribution by establishing a comprehensive dynamic model with both temporal and spatial variations involved. It is expected to provide practical values for LCA practitioners and help with decision-making and environmental management. |
format | Online Article Text |
id | pubmed-9657249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96572492022-11-15 A Comprehensive Dynamic Life Cycle Assessment Model: Considering Temporally and Spatially Dependent Variations Su, Shu Ju, Jingyi Ding, Yujie Yuan, Jingfeng Cui, Peng Int J Environ Res Public Health Article Life cycle assessment (LCA) is a widely-used international environmental evaluation and management method. However, the conventional LCA is in a static context without temporal and spatial variations considered, which fails to bring accurate evaluation values and hinders practical applications. Dynamic LCA research has developed vigorously in the past decade and become a hot topic. However, systematical analysis of spatiotemporal dynamic variations and comprehensive operable dynamic models are still lacking. This study follows LCA paradigm and incorporates time- and space-dependent variations to establish a spatiotemporal dynamic LCA model. The dynamic changes are classified into four types: dynamic foreground elementary flows, dynamic background system, dynamic characterization factors, and dynamic weighting factors. Their potential dynamics and possible quantification methods are analyzed. The dynamic LCA model is applied to a residential building, and significant differences can be observed between dynamic and static assessment results from both temporal and spatial perspectives. This study makes a theoretical contribution by establishing a comprehensive dynamic model with both temporal and spatial variations involved. It is expected to provide practical values for LCA practitioners and help with decision-making and environmental management. MDPI 2022-10-27 /pmc/articles/PMC9657249/ /pubmed/36360878 http://dx.doi.org/10.3390/ijerph192114000 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Su, Shu Ju, Jingyi Ding, Yujie Yuan, Jingfeng Cui, Peng A Comprehensive Dynamic Life Cycle Assessment Model: Considering Temporally and Spatially Dependent Variations |
title | A Comprehensive Dynamic Life Cycle Assessment Model: Considering Temporally and Spatially Dependent Variations |
title_full | A Comprehensive Dynamic Life Cycle Assessment Model: Considering Temporally and Spatially Dependent Variations |
title_fullStr | A Comprehensive Dynamic Life Cycle Assessment Model: Considering Temporally and Spatially Dependent Variations |
title_full_unstemmed | A Comprehensive Dynamic Life Cycle Assessment Model: Considering Temporally and Spatially Dependent Variations |
title_short | A Comprehensive Dynamic Life Cycle Assessment Model: Considering Temporally and Spatially Dependent Variations |
title_sort | comprehensive dynamic life cycle assessment model: considering temporally and spatially dependent variations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657249/ https://www.ncbi.nlm.nih.gov/pubmed/36360878 http://dx.doi.org/10.3390/ijerph192114000 |
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