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Life Cycle Assessment of Metals: A Scientific Synthesis
Open accessAbstract
We have assembled extensive information on the cradle-to-gate environmental burdens of 63 metals in their major use forms, and illustrated the interconnectedness of metal production systems. Related cumulative energy use, global warming potential, human health implications and ecosystem damage are estimated by metal life cycle stage (i.e., mining, purification, and refining). For some elements, these are the first life cycle estimates of environmental impacts reported in the literature. We show that, if compared on a per kilogram basis, the platinum group metals and gold display the highest environmental burdens, while many of the major industrial metals (e.g., iron, manganese, titanium) are found at the lower end of the environmental impacts scale. If compared on the basis of their global annual production in 2008, iron and aluminum display the largest impacts, and thallium and tellurium the lowest. With the exception of a few metals, environmental impacts of the majority of elements are dominated by the purification and refining stages in which metals are transformed from a concentrate into their metallic form. Out of the 63 metals investigated, 42 metals are obtained as co-products in multi output processes. We test the sensitivity of varying allocation rationales, in which the environmental burden are allocated to the various metal and mineral products, on the overall results. Monte-Carlo simulation is applied to further investigate the stability of our results. This analysis is the most comprehensive life cycle comparison of metals to date and allows for the first time a complete bottom-up estimate of life cycle impacts of the metals and mining sector globally. We estimate global direct and indirect greenhouse gas emissions in 2008 at 3.4 Gt CO2-eq per year and primary energy use at 49 EJ per year (9.5% of global use), and report the shares for all metals to both impact categories.
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![Figure 1 Diagram of the cradle-to-gate production of the minerals and metals (starting with ores from the left) analyzed in this study, in order of atomic number. Nodes representing mineral and metal products and intermediates, and the edges (arrows) indicating the physical transformation of metals via industrial processes from one chemical form (material) into another. Nodes and edges in red color represent joint production and illustrate the interconnectedness of the metals production system. Although not a metal, helium is includes in the assessment as it is sometimes regarded as a critical element required for the cooling of nuclear power plants. The figure was created using Gephi v0.8.2 [113].](/paper-figures/1d16c73e848f431c8137be3736edd28f/life-cycle-assessment-of-metals-a-scientific-synthesis-figure-1.jpg)

![Figure 3 Periodic table of environmental impacts (colored according to the color ramp above). (A) Cradle-to-gate cumulative energy demand (CED) (MJ-eq/kg) per kilogram of each element. aCumulative energy demand for Th and U does not include non-renewable nuclear energy demand of U and Th in ground. (B) Cradle-to-gate terrestrial acidification (kg SO2-eq/kg). (C) Cradle-to-gate freshwater eutrophication (kg P-eq/kg). (D) Cradle-to-gate human toxicity (cancer and non-cancer) (CTUh/kg). Impacts to acidification and eutrophication were derived using the ReCiPe Midpoint method 1.08 H/H for the globe [106]. Human toxicity was calculated using the USETox v1.02. method with recommended and interim characterization factors [107].](/paper-figures/e16a22c20b8448a496a7fc7fb87da8ba/life-cycle-assessment-of-metals-a-scientific-synthesis-figure-3.jpg)
![Figure 4 Relative environmental implications by life cycle stage. Only materials for which data for more than one life cycle stage was available are shown. Due to the aggregated nature of many of the data sets, in some instances the figure includes cumulative contributions from two life cycle stages (see legend). aThe human health implications (DALY/kg) and ecosystem damage (species.yr/kg) were calculated using the World ReCiPe Endpoint (H) impact assessment method v1.08 [106]. They represent potential damages prior to normalization and weighting. *The relative breakdown of the environmental burden of Y2O3 production is similar to other rare earths (i.e., La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, and Lu), which are therefore not shown in this figure. ** The breakdown of the environmental burden of Ru production is similar to other platinum group metals (i.e., Rh, Pd, Os, Ir, and Pt) from primary ore, which are therefore not shown in this figure. FeCr = Ferrochromium. FeMn = Ferromanganese. FeNb = Ferroniobium. Elements in brackets indicate the host metal from which the metal is obtained as a co-product. SE = Sweden.](/paper-figures/4405aa74b92242e492f08d9541cb236b/life-cycle-assessment-of-metals-a-scientific-synthesis-figure-4.jpg)
![Figure 5 Global annual environmental implications of metals production in 2008. Per-kilogram impacts were multiplied with their respective production figures for year 2008 from USGS Mineral Yearbooks [53]. The cradle-to-gate human health and ecosystem damage (Pt/yr) were derived using the ReCiPe Endpoint method 1.08 H/H for the globe [106].](/paper-figures/fe0d6fe70c50465e9ceceb50c1eb3359/life-cycle-assessment-of-metals-a-scientific-synthesis-figure-5.jpg)


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“The high natural abundance of iron results in much lower market prices than tin, and its production rates are high and stable and have a low environmental impact.”
From Iron( ii ) carboxylates and simple carboxamides: an inexpensive and modular catalyst system for the synthesis of PLLA and PLLA-PCL block copolymers (2023) · cites this paper as [41]
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“Such downcycling constitutes itself an energy loss: pig iron production causes emissions of 1.5 kg CO 2 equivalent per kg iron, while alloying elements range from similar (1.9 kg CO 2 /kg metal for ferrochromium) to much higher (11 kg CO 2 /kg nickel from sulfide ores) [170], so that the emissions associated with highly alloyed steel can be significantly higher than those of construction steel.”
From Material efficiency strategies to reducing greenhouse gas emissions associated with buildings, vehicles, and electronics—a review (2019) · cites this paper as [170]
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Metadata
- Authors
- Nuss, P., & Eckelman, M. J.
- Affiliations
- Yale University (US)
- Northeastern University (US)
- Corresponding author
- Nuss, Philip
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-07-07
- Volume
- 9
- Issue
- 7
- Pages
- e101298
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4085040
- OpenAlex
- W2046102090
- Cited by
- 777
- References
- 79
- Citations by year
- 2026: 121 · 2025: 116 · 2024: 89 · 2023: 75 · 2022: 80 · 2021: 85 · 2020: 52 · 2019: 42 · 2018: 38 · 2017: 36 · 2016: 26 · 2015: 12 · 2014: 5
- FWCI
- 20.22
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Yale University
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Environmental Impact and Sustainability
- Physical Sciences › Environmental Science › Environmental Engineering › Sustainability and Ecological Systems Analysis
- Physical Sciences › Materials Science › Metals and Alloys › Extraction and Separation Processes
- Keywords
- metals, life cycle assessment, environmental impact, mining, metal purification, metal refining, global warming potential, greenhouse gas emissions, human health effects, ecosystem damage, coproducts, platinum group metals, gold, iron, aluminum, thallium, tellurium, primary energy consumption
- MeSH terms
- Carbon Dioxide, Environmental Monitoring, Humans, Metals, Minerals, Ecosystem, Global Warming
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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