2021
DOI: 10.3390/su132413935
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Influence of Different Allocation Methods for Recycling and Dynamic Inventory on CO2 Savings and Payback Times of Light-Weighted Vehicles Computed under Product- and Fleet-Based Analyses: A Case of Internal Combustion Engine Vehicles

Abstract: Light weighting by material substitution is a key to reducing GHG emissions during vehicle operation. The GHG benefits are a salient factor in selecting lightweight materials for vehicles. Although the literature has performed lightweight material selections using GHG benefits under product- and fleet-based life-cycle inventory (LCI) analyses, recycling effects have therein been accounted for by arbitrarily selecting allocation methods for recycling, as the consensus on their selection is absent. Furthermore, … Show more

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Cited by 5 publications
(2 citation statements)
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References 45 publications
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“…Managers may pay thorough attention to the hotpots identified herein in the first place and try to avoid those hotspots as much as possible and carry out importation from low-risk countries considering the trade-offs with economic and environmental aspects [66]. Once the hotspots identified herein are addressed, new ones may emerge.…”
Section: Benefit Validationmentioning
confidence: 99%
“…Managers may pay thorough attention to the hotpots identified herein in the first place and try to avoid those hotspots as much as possible and carry out importation from low-risk countries considering the trade-offs with economic and environmental aspects [66]. Once the hotspots identified herein are addressed, new ones may emerge.…”
Section: Benefit Validationmentioning
confidence: 99%
“…LCA is a valuable tool that helps us understand the environmental impact of a prod uct or service throughout its entire life cycle [20, 27,28]. The framework of life cycle assess ment follows ISO 14040/44 standards and involves four main stages: goal and scope defi nition, inventory analysis, impact assessment, and interpretation [20,29].…”
Section: Step-1: Environmental Impact Evaluationmentioning
confidence: 99%