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Analysis of the life cycle environmental impact reductions of remanufactured turbochargers

Journal of Remanufacturing 2023年第2期13卷 187-206页

作者： Lee, Jong-Hyo Kang, Hong-Yoon Kim, Young-Woon Hwang, Yong Woo Kwon, Soon-Gil Park, Hee-Won Choi, Ji-Woo Choi, Hwan-Ho Program in Circular Economy Environmental System Inha University Incheon South Korea Department of Environmental Engineering Inha University Incheon South Korea

Recently, remanufacturing approach/technology, which includes a series of the processes of disassembling, cleaning, inspecting, repairing/reconditioning, reassembling components for resale, is becoming more popular as companies look for a way to combat the current climate crisis, and as it allows companies to reduce environmental impacts and to save energy and resources. This study analyzed the reduction effect of six environmental impacts and the savings effect of energy and resources by turbocharger remanufacturing compared to its newly manufacturing using a life cycle assessment (LCA) methodology. The results show that the most significant benefit of the turbocharger remanufacturing related to environmental impacts was the global warming potential (GWP), which could be reduced by 52.2%, followed by the abiotic depletion potential (ADP), terrestrial ecotoxicity potential (TETP), human toxicity potential (HTP), freshwater aquatic ecotoxicity potential (FAETP) and marine aquatic ecotoxicity potential (MAETP) which could be reduced by 51.9%, 44.8%, 44.2%, 42.6%, and 36.7%, respectively. Also, its resource saving could be obtained from 21.7 to 73.5% depending on the type of resources. Furthermore, turbocharger remanufacturing offered a significant energy saving of 83.9%. The results obtained from this study could be used for national policy-making to a net-zero carbon transition. © 2023, The Author(s).

关键词： Energy/Resources savings environmental impacts Life Cycle Assessment (LCA) Turbocharger remanufacturing

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Material Stock Data Extraction Method Using Geographical Imagery Information in Material Flow Analysis for Railway Infrastructure

SSRN

引用

SSRN 2022年

作者： Imran, Muhammad Kim, Junbeum Rahman, S.M. Ahn, Jaewook Hwang, Yongwoo Guillaume, Bertrand CREIDD Research Center on Environmental Studies & Sustainability Interdisciplinary Research on Society-Technology-Environment Interactions University of Technology of Troyes 12 Rue Marie Curie Troyes10300 France ENSAM Arte et Metier IMC Esplanade des Arts et Métiers TalenceCedex 33405 France Program in Circular Economy Environmental System Convergence Department of Environmental Technology and Safety Technology Convergence Inha University 253 Younghyun-Dong Namgu Incheon Korea Republic of

Several industries, such as raw materials, construction, energy, and transportation, have extensively employed the MFA method and approach. However, the use of MFA is mainly limited due to the lack of regional data, uncertainty in the available data, and lack of input data in some cases. Data limitation for MFA is addressed but with limited success, particularly for building infrastructure. This study has addressed this issue by employing Google Earth as a secondary method that can potentially extract data applicable to MFA. This data collection approach is applied to the French Railway Infrastructure by systematically selecting 95 railway tracks covering more than 9,000 km of track length, and the results were verified with the SNCF statistical data based upon the developed parameters. This study contributes to overcoming data issues of MFA and accelerates the application of MFA on a broader scale. © 2022, The Authors. All rights reserved.

关键词： Data mining

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