Life cycle inventory data for materials grouped according to environmental and material properties |
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| Institution: | 1. Department of Technology, University of Kalmar, SE-391 82 Kalmar, Sweden;2. School of Mechanical and Manufacturing Engineering, The University of New South Wales, 2052 Sydney, Australia;1. International Center for Agro-Informatics and Sustainable Development, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China;2. National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China;3. Precision Agriculture Center, University of Minnesota, St. Paul, MN 55108, USA;4. Department of Agriculture, Qingfeng Farm, Hulin, Heilongjiang 158421, China;5. College of Ecology and Environmental Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China;6. Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523, USA;1. Section for Quantitative Sustainability Assessment, Department of Environmental and Resource Engineering, Technical University of Denmark (DTU), Lyngby, Denmark;2. Technology & Society Laboratory, Empa, St. Gallen, Switzerland;3. Bern University of Applied Sciences, BFH Energy Storage Research Centre, Switzerland;1. Faculty of Agricultural Engineering and Rural Development, Department of Agricultural Machinery Engineering, Khuzestan Agricultural Sciences and Natural Resources University, Iran;2. Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran, Karaj, Iran;3. Faculty of Health, Engineering and Sciences, University of Southern Queensland, Toowoomba, QLD, 4350, Australia |
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| Abstract: | Environmental data are presented for material groups to be used in simplified life cycle assessments at an early stage in product design. Life cycle inventory (LCI) data from cradle to gate were evaluated for 214 material cases used in mechanical design. Based on their environmental and physical properties, materials were structured into 17 different groups. The environmental characteristics of each material group were expressed in terms of LCI data as well as characterised and weighted inventory data. LCI data categories contributing significantly to environmental impact were identified. Multivariate analysis showed weak correlation between material properties and environmental impact. The environmental data presented provide averages of LCI data for each material group and can be used as estimates when LCI data for specific materials are missing. |
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