Abstract
Purpose
The safeguard subject of the Area of Protection “natural Resources,” particularly regarding mineral resources, has long been debated. Consequently, a variety of life cycle impact assessment methods based on different concepts are available. The Life Cycle Initiative, hosted by the UN Environment, established an expert task force on “Mineral Resources” to review existing methods (this article) and provide guidance for application-dependent use of the methods and recommendations for further methodological development (Berger et al. in Int J Life Cycle Assess, 2020).
Methods
Starting in 2017, the task force developed a white paper, which served as its main input to a SETAC Pellston Workshop® in June 2018, in which a sub-group of the task force members developed recommendations for assessing impacts of mineral resource use in LCA. This article, based mainly on the white paper and pre-workshop discussions, presents a thorough review of 27 different life cycle impact assessment methods for mineral resource use in the “natural resources” area of protection. The methods are categorized according to their basic impact mechanisms, described and compared, and assessed against a comprehensive set of criteria.
Results and discussion
Four method categories have been identified and their underlying concepts are described based on existing literature: depletion methods, future efforts methods, thermodynamic accounting methods, and supply risk methods. While we consider depletion and future efforts methods more “traditional” life cycle impact assessment methods, thermodynamic accounting and supply risk methods are rather providing complementary information. Within each method category, differences between methods are discussed in detail, which allows for further sub-categorization and better understanding of what the methods actually assess.
Conclusions
We provide a thorough review of existing life cycle impact assessment methods addressing impacts of mineral resource use, covering a broad overview of basic impact mechanisms to a detailed discussion of method-specific modeling. This supports a better understanding of what the methods actually assess and highlights their strengths and limitations. Building on these insights, Berger et al. (Int J Life Cycle Assess, 2020) provide recommendations for application-dependent use of the methods, along with recommendations for further methodological development.
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References
Achzet B, Helbig C (2013) How to evaluate raw material supply risks—an overview. Res Policy 38:435–447. https://doi.org/10.1016/j.resourpol.2013.06.003
Ali SH, Giurco D, Arndt N, Nickless E, Brown G, Demetriades A, Durrheim R, Enriquez MA, Kinnaird J, Littleboy A, Meinert LD, Oberhänsli R, Salem J, Schodde R, Schneider G, Vidal O, Yakovleva N (2017) Mineral supply for sustainable development requires resource governance. Nature 543:367–372. https://doi.org/10.1038/nature21359
Alvarenga RAF, Dewulf J, Van Langenhove H, Huijbregts MAJ (2013) Exergy-based accounting for land as a natural resource in life cycle assessment. Int J Life Cycle Assess 18:939–947. https://doi.org/10.1007/s11367-013-0555-7
Bach V, Berger M, Henßler M et al (2016) Integrated method to assess resource efficiency – ESSENZ. J Clean Prod 137:118–130. https://doi.org/10.1016/j.jclepro.2016.07.077
Berger M, Sonderegger T, Alvarenga R et al (2020) Mineral resources in life cycle impact assessment – part II: recommendations on application-dependent use of existing methods and on future method development. Int J Life Cycle Assess. https://doi.org/10.1007/s11367-020-01737-5
Bösch ME, Hellweg S, Huijbregts MAJ, Frischknecht R (2007) Applying cumulative exergy demand (CExD) indicators to the ecoinvent database. Int J Life Cycle Assess 12:181–190. https://doi.org/10.1065/lca2006.11.282
Cimprich A, Bach V, Helbig C et al (2019) Raw material criticality assessment as a complement to environmental life cycle assessment: examining methods for product-level supply risk assessment. J Ind Ecol:1–11. https://doi.org/10.1111/jiec.12865
Cimprich A, Karim KS, Young SB (2017a) Extending the geopolitical supply risk method: material “substitutability” indicators applied to electric vehicles and dental x-ray equipment. Int J Life Cycle Assess 23:2024–2042. https://doi.org/10.1007/s11367-017-1418-4
Cimprich A, Young SB, Helbig C et al (2017b) Extension of geopolitical supply risk methodology: characterization model applied to conventional and electric vehicles. J Clean Prod 162:754–763. https://doi.org/10.1016/j.jclepro.2017.06.063
Crowson P (2012) Some observations on copper yields and ore grades. Res Policy 37:59–72. https://doi.org/10.1016/j.resourpol.2011.12.004
De Caevel B, Standaert S, Van Overbeke E (2012) How to correct price for monetising non-renewable resource consumption? In: SETAC Europe 22nd annual meeting - extended abstracts, Berlin
De Meester B, Dewulf J, Janssens A, Van Langenhove H (2006) An improved calculation of the exergy of natural resources for Exergetic Life Cycle Assessment (ELCA). Environ Sci Technol 40:6844–6851. https://doi.org/10.1021/es060167d
Dewulf J, Benini L, Mancini L, Sala S, Blengini GA, Ardente F, Recchioni M, Maes J, Pant R, Pennington D (2015) Rethinking the area of protection “natural resources” in life cycle assessment. Environ Sci Technol 49:5310–5317. https://doi.org/10.1021/acs.est.5b00734
Dewulf J, Boesch ME, De Meester B et al (2007) Cumulative exergy extraction from the natural environment (CEENE): a comprehensive life cycle impact assessment method for resource accounting. Environ Sci Technol 41:8477–8483. https://doi.org/10.1021/es0711415
Dewulf J, Van Langenhove H, Muys B et al (2008) Exergy : its potential and limitations in environmental science and technology. Environ Sci Technol 42:2221–2232. https://doi.org/10.1021/es071719a
Dewulf J, Van Langenhove H, Van De Velde B (2005) Exergy-based efficiency and renewability assessment of biofuel production. Environ Sci Technol 39:3878–3882. https://doi.org/10.1021/es048721b
Drielsma JA, Allington R, Brady T et al (2016a) Abiotic raw-materials in life cycle impact assessments: an emerging consensus across disciplines. Resources 5:12. https://doi.org/10.3390/resources5010012
Drielsma JA, Russell-Vaccari AJ, Drnek T et al (2016b) Mineral resources in life cycle impact assessment—defining the path forward. Int J Life Cycle Assess 21:85–105. https://doi.org/10.1007/s11367-015-0991-7
EC-JRC (2011) International Reference Life Cycle Data System (ILCD) Handbook: Recommendations for life cycle impact assessment in the European context. European Commission, Joint Research Centre, Institute for Environment and Sustainability, Ispra
El Serafy S (1989) The proper calculation of income from Depletable natural resources. In: Environmental Accounting for Sustainable Development. The International Bank for Reconstruction and Development, The World Bank, Washington, D.C
Fraunhofer (2018) Science meets business workshop, march 6, 2018. Germany, Stuttgart
Frenzel M, Kullik J, Reuter MA, Gutzmer J (2017) Raw material ‘ criticality ’— sense or nonsense ? J Phys D Appl Phys 50. https://doi.org/10.1088/1361-6463/aa5b64
Frischknecht R, Büsser Knöpfel S (2013) Swiss eco-factors 2013 according to the ecological scarcity method. Federal Office for the Environment FOEN, Bern
Gemechu ED, Helbig C, Sonnemann G et al (2016) Import-based indicator for the geopolitical supply risk of raw materials in life cycle sustainability assessments. J Ind Ecol 20:154–165. https://doi.org/10.1111/jiec.12279
Glöser S, Tercero Espinoza L, Gandenberger C, Faulstich M (2015) Raw material criticality in the context of classical risk assessment. Res Policy 44:35–46. https://doi.org/10.1016/j.resourpol.2014.12.003
Goedkoop M, Heijungs R, de Schryver A et al (2013) ReCiPe 2008. A LCIA method which comprises harmonised category indicators at the midpoint and the endpoint level. Characterisation. Ministerie van VROM, Den Haag
Goedkoop M, Spriensma R (2001) The eco-indicator 99 - a damage oriented method for life cycle impact assessment. Amersfoort, The Netherlands
Graedel TE, Reck BK (2015) Six years of criticality assessments what have we learned so far? J Ind Ecol 20:692–699. https://doi.org/10.1111/jiec.12305
Guinée JB, Heijungs R (1995) A proposal for the definition of resource equivalency factors for use in product life-cycle assessment. Environ Toxicol Chem 14:917–925. https://doi.org/10.1002/etc.5620140525
Hauschild M, Potting J (2005) Spatial differentiation in Life Cycle impact assessment - the EDIP2003 methodology. Environmental news No. 80. Danish Environmental Protection Agency, Copenhagen
Hauschild M, Wenzel H (1998) Environmental assessment of products - volume 2: scientific background. Springer US
Helbig C, Gemechu ED, Pillain B et al (2016a) Extending the geopolitical supply risk indicator: application of life cycle sustainability assessment to the petrochemical supply chain of polyacrylonitrile-based carbon fibers. J Clean Prod 137:1170–1178. https://doi.org/10.1016/j.jclepro.2016.07.214
Helbig C, Wietschel L, Thorenz A, Tuma A (2016b) How to evaluate raw material vulnerability - an overview. Res Policy 48:13–24. https://doi.org/10.1016/j.resourpol.2016.02.003
Huijbregts MAJ, Hellweg S, Frischknecht R, Hendriks HW, Hungerbühler K, Hendriks AJ (2010) Cumulative energy demand as predictor for the environmental burden of commodity production. Environ Sci Technol 44:2189–2196. https://doi.org/10.1021/es902870s
Huijbregts MAJ, Rombouts LJA, Hellweg S, Frischknecht R, Hendriks AJ, van de Meent D, Ragas AM, Reijnders L, Struijs J (2006) Is cumulative fossil energy demand a useful indicator for the environmental performance of products? Environ Sci Technol 40:641–648. https://doi.org/10.1021/es051689g
Huppertz T, Weidema BP, Standaert S et al (2019) The social cost of sub-soil resource use. Resources 8. https://doi.org/10.3390/resources8010019
Itsubo N, Inaba A (2012) LIME 2 - life-cycle impact assessment method based on endpoint modeling - summary. JLCA Newsl Life-Cycle Assess Soc Japan 16. Available from: https://lca-forum.org/english/pdf/No12_Summary.pdf. Accessed 12/12/2016
Itsubo N, Inaba A (2014) LIME2 - chapter 2 : characterization and damage evaluation methods. JLCA Newsl Life-Cycle Assess Soc Japan 18. Available from: https://lca-forum.org/english/pdf/No18_Chapter2.10-2.13.pdf. Accessed 17/08/2017
Jolliet O, Margni M, Charles R et al (2003) IMPACT 2002 + : a new life cycle impact assessment methodology. Int J Life Cycle Assess 8:324–330. https://doi.org/10.1007/BF02978505
Meinert LD, Jr GRR, Nassar NT (2016) Mineral resources : reserves. Peak Product Future. https://doi.org/10.3390/resources5010014
Mudd GM, Jowitt SM, Werner TT (2017) The world’s by-product and critical metal resources part I: uncertainties, current reporting practices, implications and grounds for optimism. Ore Geol Rev 86:924–938. https://doi.org/10.1016/j.oregeorev.2016.05.001
Mudd GM, Weng Z, Jowitt SM (2013) A detailed assessment of global cu resource trends and endowments. Econ Geol 108:1163–1183. https://doi.org/10.2113/econgeo.108.5.1163
Müller-Wenk R (1998) Depletion of abiotic resources weighted on the base of ‘virtual’ impacts of lower grade deposits in future. IWO Diskussionsbeitrag Nr. 57. Universität St. Gallen, St. Gallen
Northey SA, Mudd GM, Werner TT et al (2017) The exposure of global base metal resources to water criticality, scarcity and climate change. Glob Environ Chang 44:109–124. https://doi.org/10.1016/j.gloenvcha.2017.04.004
Nuss P, Eckelman MJ (2014) Life cycle assessment of metals: a scientific synthesis. PLoS One 9:1–12. https://doi.org/10.1371/journal.pone.0101298
Odum HT (1996) Environmental accounting: emergy and environmental decision making. John Wiley & Sons, Inc., New York
Priester M, Ericsson M, Dolega P, Löf O (2019) Mineral grades: an important indicator for environmental impact of mineral exploitation. Miner Econ 32:49–73. https://doi.org/10.1007/s13563-018-00168-x
Raugei M, Rugani B, Benetto E, Ingwersen WW (2014) Integrating emergy into LCA: potential added value and lingering obstacles. Ecol Model 271:4–9. https://doi.org/10.1016/j.ecolmodel.2012.11.025
Rørbech JT, Vadenbo C, Hellweg S, Astrup TF (2014) Impact assessment of abiotic resources in LCA: quantitative comparison of selected characterization models. Environ Sci Technol 48:11072–11081
Rugani B, Huijbregts MAJ, Mutel CL, Bastianoni S, Hellweg S (2011) Solar energy demand (SED) of commodity life cycles. Environ Sci Technol 45:5426–5433. https://doi.org/10.1021/es103537f
Schneider L, Berger M, Finkbeiner M (2011) The anthropogenic stock extended abiotic depletion potential (AADP) as a new parameterisation to model the depletion of abiotic resources. Int J Life Cycle Assess 16:929–936. https://doi.org/10.1007/s11367-011-0313-7
Schneider L, Berger M, Finkbeiner M (2015) Abiotic resource depletion in LCA - background and update of the anthropogenic stock extended abiotic depletion potential (AADP) model. Int J Life Cycle Assess 20:709–721. https://doi.org/10.1007/s11367-015-0864-0
Schneider L, Berger M, Schüler-Hainsch E et al (2014) The economic resource scarcity potential (ESP) for evaluating resource use based on life cycle assessment. Int J Life Cycle Assess 19:601–610. https://doi.org/10.1007/s11367-013-0666-1
Sonderegger T, Dewulf J, Fantke P, Souza DM, Pfister S, Stoessel F, Verones F, Vieira M, Weidema B, Hellweg S (2017) Towards harmonizing natural resources as an area of protection in life cycle impact assessment. Int J Life Cycle Assess 22:1912–1927. https://doi.org/10.1007/s11367-017-1297-8
Sonnemann G, Gemechu ED, Adibi N et al (2015) From a critical review to a conceptual framework for integrating the criticality of resources into life cycle sustainability assessment. J Clean Prod 94:20–34. https://doi.org/10.1016/j.jclepro.2015.01.082
Steen B (1999) A systematic approach to environmental priority strategies in product development (EPS). Version 2000 – general system characteristics. Centre for Environmental Assessment of Products and Material Systems (CPM). Chalmers University of Technology, Gothenburg
Steen B (2016) Calculation of monetary values of environmental impacts from emissions and resource use the case of using the EPS 2015d impact assessment method. J Sustain Dev 9:15. https://doi.org/10.5539/jsd.v9n6p15
Steen BA (2006) Abiotic resource depletion. Different perceptions of the problem with mineral deposits. Int J Life Cycle Assess 11:49–54. https://doi.org/10.1065/lca2006.04.011
Steinmann ZJN, Schipper AM, Hauck M, Giljum S, Wernet G, Huijbregts MAJ (2017) Resource footprints are good proxies of environmental damage. Environ Sci Technol 51:6360–6366. https://doi.org/10.1021/acs.est.7b00698
Stewart M, Weidema B (2005) A consistent framework for assessing the impacts from resource use: a focus on resource functionality. Int J Life Cycle Assess 10:240–247. https://doi.org/10.1065/lca2004.10.184
Swart P, Alvarenga RAF, Dewulf J (2015) Abiotic resource use. In: Life cycle impact assessment. Springer, Dordrecht, pp 247–271
Swart P, Dewulf J (2013) Quantifying the impacts of primary metal resource use in life cycle assessment based on recent mining data. Resour Conserv Recycl 73:180–187. https://doi.org/10.1016/j.resconrec.2013.02.007
Szargut J, Morris DR, Steward FR (1988) Exergy analysis of thermal, chemical and metallurgical processes. Hemisphere Publishing, New York
Taelman SE, De Meester S, Schaubroeck T et al (2014) Accounting for the occupation of the marine environment as a natural resource in life cycle assessment: an exergy based approach. Resour Conserv Recycl 91:1–10. https://doi.org/10.1016/j.resconrec.2014.07.009
Tilton JE, Crowson PCF, DeYoung JH et al (2018) Public policy and future mineral supplies. Res Policy 57:55–60. https://doi.org/10.1016/j.resourpol.2018.01.006
USGS (2010) Mineral Commodity Summaries 2010. US Geol Surv 196. https://doi.org/10.3133/70140094
Valero A, Valero A (2015) Thermodynamic rarity and the loss of mineral wealth. Energies 8:821–836. https://doi.org/10.3390/en8020821
Valero A, Valero A, Stanek W (2018) Assessing the exergy degradation of the natural capital: from Szargut’s updated reference environment to the new thermoecological-cost methodology. Energy 163:1140–1149. https://doi.org/10.1016/j.energy.2018.08.091
van Oers L, Guinée J (2016) The abiotic depletion potential: background, updates, and future. Resources 5:16. https://doi.org/10.3390/resources5010016
van Oers L, de Koning A, Guinée JB, et al (2002) Abiotic resource depletion in LCA. Improving characterisation factors for abiotic resource depletion as recommended in the new Dutch LCA Handbook. Road and Hydraulic Engineering Institute of the Dutch Ministry of Transport
Vieira MDM (2018) Fossil and mineral resource scarcity in life cycle assessment. Radboud University Nijmegen, the Netherlands
Vieira MDM, Goedkoop MJ, Storm P, Huijbregts MAJ (2012) Ore grade decrease as life cycle impact indicator for metal scarcity: the case of copper. Environ Sci Technol 46:12772–12778. https://doi.org/10.1021/es302721t
Vieira MDM, Ponsioen TC, Goedkoop MJ, Huijbregts MAJ (2016a) Surplus ore potential as a scarcity indicator for resource extraction. J Ind Ecol. https://doi.org/10.1111/jiec.12444
Vieira MDM, Ponsioen TC, Goedkoop MJ, Huijbregts MAJ (2016b) Surplus cost potential as a life cycle impact indicator for metal extraction. Resources 5:2. https://doi.org/10.3390/resources5010002
Weidema BP, Hauschild MZ, Jolliet O (2007) Preparing characterisation methods for endpoint impact assessment. Available from lca-net.com/files/Stepwise2006v1.5.3.zip. Accessed 12 Dec 2016
Wenzel H, Hauschild MZ, Alting L (1997) Environmental assessment of products. Volume 1—methodology, tools and case studies in product development. Kluwer Academic Publishers, Hingham, pp 544
West J (2011) Decreasing metal ore grades: are they really being driven by the depletion of high-grade deposits? J Ind Ecol 15:165–168. https://doi.org/10.1111/j.1530-9290.2011.00334.x
World Bank (2018) The Worldwide Governance Indicators. http://info.worldbank.org/governance/wgi/index.aspx#home. Accessed 16 Nov 2018
Acknowledgments
We thank the other task force members for their participation in the process and their valuable inputs to discussions. Special thanks goes to Marisa Vieira (PRé Consultants) for providing her expertise as a method developer, to Andrea Thorenz (University of Augsburg) for supporting the supply risk discussions, and to Johannes Drielsma (Euromines) for valuable discussions and comments on the manuscript. This work was supported by the Life Cycle Initiative hosted by the UN Environment.
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Sonderegger, T., Berger, M., Alvarenga, R. et al. Mineral resources in life cycle impact assessment—part I: a critical review of existing methods. Int J Life Cycle Assess 25, 784–797 (2020). https://doi.org/10.1007/s11367-020-01736-6
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DOI: https://doi.org/10.1007/s11367-020-01736-6