A Comprehensive Dynamic Life Cycle Assessment Model
Considering Temporally and Spatially Dependent Variations
Bibliographic Data
| ID | 15467950 |
|---|---|
| Authors | Shu Su (0000-0003-4172-9474, Southeast University, corresponding author), Jingyi Ju (Southeast University), Yujie Ding (0000-0002-4589-674X, Southeast University), Jingfeng Yuan (0000-0002-0922-6853, Southeast University), Peng Cui (0000-0002-4566-6223, Nanjing Forestry University) |
| Year | 2022 |
| Volume | 19 |
| Issue | 21 |
| Pages | 14000-14000 |
| Publication date | 2022-10-27 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph192114000 |
| PMID | 36360878 |
| OpenAlex | W4307635642 |
| Language | EN |
| Citations received | 3 |
| References cited | 55 |
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
Context (archaeology · Dynamic assessment · Dynamic factor · Dynamic simulation · Econometrics · Geography · Life-cycle assessment · Operations research · Production (economics · Simulation · System dynamics · Weighting · Building Energy and Comfort Optimization · Computer Science · Engineering · Environmental Impact and Sustainability · Environmental Science · Mathematics · Sustainable Building Design and Assessment · Artificial Intelligence
| Unique citing works | 3 |
|---|---|
| Citations per year | 3 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |