Surplus Cost Potential as a Life Cycle Impact Indicator for Metal Extraction
In the evaluation of product life cycles, methods to assess the increase in scarcity of resources are still under development. Indicators that can express the importance of an increase in scarcity of metals extracted include surplus ore produced, surplus energy required, and surplus costs in the min...
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doaj-0a10b3053ffa45cd921b3fe0630f58b12020-11-24T21:42:07ZengMDPI AGResources2079-92762016-01-0151210.3390/resources5010002resources5010002Surplus Cost Potential as a Life Cycle Impact Indicator for Metal ExtractionMarisa D.M. Vieira0Thomas C. Ponsioen1Mark J. Goedkoop2Mark A.J. Huijbregts3Radboud University Nijmegen, Faculty of Science, Department of Environmental Science, P.O. Box 9010, Nijmegen 6500 GL, The NetherlandsPRé Consultants b.v., Stationsplein 121, Amersfoort 3818 LE, The NetherlandsPRé Consultants b.v., Stationsplein 121, Amersfoort 3818 LE, The NetherlandsRadboud University Nijmegen, Faculty of Science, Department of Environmental Science, P.O. Box 9010, Nijmegen 6500 GL, The NetherlandsIn the evaluation of product life cycles, methods to assess the increase in scarcity of resources are still under development. Indicators that can express the importance of an increase in scarcity of metals extracted include surplus ore produced, surplus energy required, and surplus costs in the mining and the milling stage. Particularly the quantification of surplus costs per unit of metal extracted as an indicator is still in an early stage of development. Here, we developed a method that quantifies the surplus cost potential of mining and milling activities per unit of metal extracted, fully accounting for mine-specific differences in costs. The surplus cost potential indicator is calculated as the average cost increase resulting from all future metal extractions, as quantified via cumulative cost-tonnage relationships. We tested the calculation procedure with 12 metals and platinum-group metals as a separate group. We found that the surplus costs range six orders of magnitude between the metals included, i.e., between $0.01–$0.02 (iron) and $13,533–$17,098 (rhodium) USD (year 2013) per kilogram of metal extracted. The choice of the reserve estimate (reserves vs. ultimate recoverable resource) influenced the surplus costs only to a limited extent, i.e., between a factor of 0.7 and 3.2 for the metals included. Our results provide a good basis to regularly include surplus cost estimates as resource scarcity indicator in life cycle assessment.http://www.mdpi.com/2079-9276/5/1/2characterization factorsendpointlife cycle assessmentmetalsminingresource scarcity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marisa D.M. Vieira Thomas C. Ponsioen Mark J. Goedkoop Mark A.J. Huijbregts |
spellingShingle |
Marisa D.M. Vieira Thomas C. Ponsioen Mark J. Goedkoop Mark A.J. Huijbregts Surplus Cost Potential as a Life Cycle Impact Indicator for Metal Extraction Resources characterization factors endpoint life cycle assessment metals mining resource scarcity |
author_facet |
Marisa D.M. Vieira Thomas C. Ponsioen Mark J. Goedkoop Mark A.J. Huijbregts |
author_sort |
Marisa D.M. Vieira |
title |
Surplus Cost Potential as a Life Cycle Impact Indicator for Metal Extraction |
title_short |
Surplus Cost Potential as a Life Cycle Impact Indicator for Metal Extraction |
title_full |
Surplus Cost Potential as a Life Cycle Impact Indicator for Metal Extraction |
title_fullStr |
Surplus Cost Potential as a Life Cycle Impact Indicator for Metal Extraction |
title_full_unstemmed |
Surplus Cost Potential as a Life Cycle Impact Indicator for Metal Extraction |
title_sort |
surplus cost potential as a life cycle impact indicator for metal extraction |
publisher |
MDPI AG |
series |
Resources |
issn |
2079-9276 |
publishDate |
2016-01-01 |
description |
In the evaluation of product life cycles, methods to assess the increase in scarcity of resources are still under development. Indicators that can express the importance of an increase in scarcity of metals extracted include surplus ore produced, surplus energy required, and surplus costs in the mining and the milling stage. Particularly the quantification of surplus costs per unit of metal extracted as an indicator is still in an early stage of development. Here, we developed a method that quantifies the surplus cost potential of mining and milling activities per unit of metal extracted, fully accounting for mine-specific differences in costs. The surplus cost potential indicator is calculated as the average cost increase resulting from all future metal extractions, as quantified via cumulative cost-tonnage relationships. We tested the calculation procedure with 12 metals and platinum-group metals as a separate group. We found that the surplus costs range six orders of magnitude between the metals included, i.e., between $0.01–$0.02 (iron) and $13,533–$17,098 (rhodium) USD (year 2013) per kilogram of metal extracted. The choice of the reserve estimate (reserves vs. ultimate recoverable resource) influenced the surplus costs only to a limited extent, i.e., between a factor of 0.7 and 3.2 for the metals included. Our results provide a good basis to regularly include surplus cost estimates as resource scarcity indicator in life cycle assessment. |
topic |
characterization factors endpoint life cycle assessment metals mining resource scarcity |
url |
http://www.mdpi.com/2079-9276/5/1/2 |
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