Assessing the supply potential of high-tech metals - A general method

Resources Policy

Volumn 46, Issue P2, 2015, Pages 45-58

  Frenzel, Max ^a   Tolosana Delgado, Raimon ^a   Gutzmer, Jens ^a,b  

^a INSTITUTE OF ION BEAM PHYSICS AND MATERIALS RESEARCH   (Germany)

^b TU BERGAKADEMIE FREIBERG   (Germany)

Author keywords

Availability; By products; Electronic metals; Germanium; Reserves; Resources

Indexed keywords

AVAILABILITY; BYPRODUCTS; GERMANIUM; STRUCTURAL GEOLOGY; SUPPLY CHAINS;

DETERMINISTIC MODELS; ELECTRONIC SUPPLEMENTARY MATERIALS; ESTIMATION PROCESS; HIGH-TECH APPLICATIONS; PRODUCT CONCENTRATION; RESERVES; RESOURCES; SUPPLY LIMITATIONS;

MONTE CARLO METHODS;

CONCEPTUAL FRAMEWORK; GERMANIUM; MONTE CARLO ANALYSIS; RARE EARTH ELEMENT; STATISTICAL ANALYSIS; UNCERTAINTY ANALYSIS;

EID: 84940050614     PISSN: 03014207     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.resourpol.2015.08.002     Document Type: Article

References (82)

1. Afflerbach P., Fridgen G., Keller R., Rathgeber A.W., Strobel F. The by-product effect on metal markets - new insights to the price behavior of minor metals. Resour. Policy 2014, 42:35-44.
2. Ahrens L.H. The lognormal distribution of the elements (A fundamental law of geochemistry and its subsidiary). Geochim. Cosmochim. Acta 1954, 5:49-73.
3. Andersson B.A. Materials availability for large-scale thin-film photovoltaics. Prog. Photovolt. 2000, 8:61-76.
4. Bedinger, G.M., 2014. Zirconium and hafnium. USGS Mineral Commodity Summaries, February 2014, pp. 188-189.
5. Belissont R., Boiron M.-C., Luais B., Cathelineau M. LA-ICP-MS analyses of minor and trace elements and bulk Ge isotopes in zoned Ge-rich sphalerites from the Noailhac - Saint-Salvy deposit (France): insights into incorporation mechanisms and ore deposition processes. Geochim. Cosmochim. Acta 2014, 126:518-540.
6. Bleiwas, D.I., 2010. Byproduct mineral commodities used for the production of photovoltaic cells, USGS Circular 1365.
7. Bongaarts J. Human population growth and the demographic transition. Philos. Trans. R Soc. B 2009, 364:2985-2990.
8. Brininstool, M., 2014. Copper, USGS Mineral Commodity Summaries, February 2014, pp. 48-49.
9. Burnham C.W. Metallogenic provinces of the Southwestern United States and Northern Mexico. NM Bur. Mines Miner. Res. Bull. 1959, 65.
10. Butcher T., Brown T. Gallium 2014, 150-176. John Wiley & Sons Ltd., Chichester, UK. G. Gunn (Ed.).
11. Cai J.-S., Yang Y.-B., Zhang Y.-P. The research and practice of recovery of gallium and germanium from zinc residues. Cons. Util. Min. Res 2002, 2002:34-37. in Chinese with English abstract.
12. Campbell G.A. The role of co-products in stabilizing the metal mining industry. Resour. Policy 1985, 11:267-274.
13. Candelise C., Speirs J.F., Gross R.J.K. Materials availability for thin film (TF) PV technologies development: a real concern. Renew. Sustain. Energy Rev. 2012, 15:4972-4981.
14. Cerny I., Schroll E. Heimische Vorräte an Spezialmetallen (Ga, In, Tl, Ge, Se, Te und Cd) in Blei-Zink-Erzen. Arch. f. Lagerst.-forsch. Geol. B.-A 1995, 18:5-33.
15. Cook N.J., Ciobanu C.L., Pring A., Skinner W., Shimizu M., Danyushevsky L., Saini-Eidukat B., Melcher F. Trace and minor elements in sphalerite: a LA-ICPMS study. Geochim. Cosmochim. Acta 2009, 73:4761-4791.
16. Cox D.P., Singer D.A. Mineral deposit models. USGS Bull. 1986, 1693.
17. Cureton E.E. Unbiased estimation of the standard deviation. Am. Stat. 1968, 22:22.
18. Dittrich, T., Seifert, T., Gutzmer, J., 2011. Gallium - can future demand be met by geological and technological availability? In: Proceedings of the 11th Biennial SGA Conference, Society of Geology Applied to Mineral Deposits, Antofagasta, Chile, pp. 26-29.
19. Du G., Zhuang X., Querol X., Izquierdo M., Alastuey A., Moreno T., Font O. Ge distribution in the Wulantuga high-germanium coal deposit in the Shengli coalfield, Inner Mongolia, northeastern China. Int. J. Coal Geol. 2009, 78:16-26.
20. Dutrizac J.E., Chen T.T., Longton R.J. The mineralogical deportment of germanium in the Clarksville electrolytic zinc plant of Savage Zinc Inc. Metall. Mater. Trans. B 1996, 27:567-576.
21. Elshkaki A., Graedel T.E. Dynamic analysis of the global metal flows and stocks in electricity generation technologies. J. Clean. Prod. 2013, 59:260-273.
22. European Commission, 2014. Report on critical raw materials for the EU. Report of the ad-hoc Working Group on Defining Critical Materials, EU, Brussels.
23. Fizaine F. Byproduct production of minor metals: threat or opportunity for the development of clean technologies? The PV sector as an illustration. Resour. Policy 2013, 38:373-383.
24. Frenzel, M., Hirsch, T., Gutzmer, J., 2015. Concentration of Ga, Ge, In and Fe in sphalerite as a function of deposit type - a meta-analysis. In: Proceedings of the 13th Biennial SGA Conference, Society of Geology Applied to Mineral Deposits, Nancy, France (in press).
25. Frenzel M., Ketris M.P., Gutzmer J. On the geological availability of germanium. Miner. Depos. 2014, 49:471-486.
26. Fthenakis V. Sustainability of photovoltaics: the case for thin-film solar cells. Renew. Sustain. Energy Rev. 2009, 13:2746-2750.
27. Fugleberg, S., 1999. Finnish expert report on best available techniques in zinc production. Finnish Environment Institute, Helsinki.
28. Gambogi, J., 2014. Rare Earths. USGS Mineral Commodity Summaries, February 2014, pp. 128-129.
29. George, M.W., 2014a. Selenium. USGS Mineral Commodity Summaries, February 2014, pp. 142-143.
30. George, M.W., 2014b. Tellurium. USGS Mineral Commodity Summaries, February 2014, pp. 162-163.
31. Gerst M.D. Revisiting the cumulative grade-tonnage relationship for major copper ore-types. Econ. Geol. 2008, 103:615-628.
32. Graedel T.E. On the future availability of the energy metals. Annu. Rev. Mater. Res. 2011, 41:323-335.
33. Green M.A. Improved estimates for Te and Se availability from Cu anode slimes and recent price trends. Prog. Photovolt. Res. Appl. 2006, 14:743-751.
34. Guberman, D.E., 2014. Germanium. USGS Mineral Commodity Summaries, February 2014, pp. 64-65.
35. Halada K., Shimada M., Ijima K. Forecasting of the consumption of metals up to 2050. Mater. Trans. 2008, 49:402-410.
36. Hall W.E., Heyl A.V. Distribution of minor elements in ore and host rock, Illinois-Kentucky fluorite district and Upper Mississippi Valley zinc-lead district. Econ. Geol. 1968, 63:655-670.
37. Harbuck, D.D., 1992. Gallium and germanium recovery from domestic sources. U.S. Bureau of Mines Report of Investigations 9419, pp. 1-32.
38. Huston D.L. New age metals: the geology and genesis of ores required for a changing economy and a carbon-constrained world - preface to a thematic issue on critical commodities. Miner. Depos. 2014, 49:885-887.
39. Jaskula, B.W., 2014. Gallium. USGS Mineral Commodity Summaries, February 2014, 58-59.
40. JORC, 2012. Austalasian Code for Reporting of Exploration Results, Mineral Resources and Ore Reserves (the JORC code). Available at: (accessed 04.22.15). http://www.jorc.org.
41. Katrak F.E., Agarwal J.C. Gallium: long-run supply. J. Met. 1981, 33:33-36.
42. Kelly, T.D., Matos, G.R., 2013. Historical statistics for mineral and material commodities in the United States (2013 version). U.S. Geological Survey Data Series 140. Available at: (accessed 07.28.14). http://minerals.usgs.gov/minerals/pubs/historical-statistics/.
43. Kramer, D.A., 1988. Gallium and gallium arsenide: supply, technology and uses. Burea of Mines Information Circular 9208, pp. 1-25.
44. Loferski, P.J., 2014. Platinum group metals. USGS Mineral Commodity Summaries, February 2014, 120-121.
45. Lundin Mining Co., 2014. Combined Mineral Reserves and Resources Statement, 30 June 2014. Available at: (accessed 04.22.15). http://www.lundinmining.com/s/Reserves.asp.
46. Lutz W., Sanderson W., Scherbov S. The end of world population growth. Nature 2001, 412:543-545.
47. Marques D.M., Costa J.F.C.L. The use of geostatistical simulation to optimize homogenization and blending strategies. Geostatistics Oslo 2012, Quantitative Geology and Geostatistics 2012, vol. 17:435-443. Springer, Dordrecht.
48. Matsumotu M., Nishimura T. Mersenne Twister: a 623-dimensionally equidistributed uniform pseudo-random number generator. ACM T. Mod. Comp. Sim. 1998, 8:3-30.
49. Mosier, D.L., Berger, V.I., Singer, D.A., 2009. Volcanogenic massive sulfide deposits of the world - database and grade and tonnage models. USGS Open File Report 2009-1034.
50. Mudd G.M., Weng Z., Jowitt S.M., Turnbull J.D., Graedel T.E. Quantifying the recoverable resources of by-product metals: the case of cobalt. Ore Geol. Rev. 2013, 55:87-98.
51. National Research Council Minerals, Critical Minerals, and the U.S. Economy. Online prepublication version 2007, The National Academies Press, Washington, DC.
52. Northey S., Mohr S., Mudd G.M., Weng Z., Giurco D. Modelling future copper ore grade decline based on a detailed asssessment of copper resources and mining. Resour. Conserv. Recycl. 2014, 83:190-201.
53. Ojebouoh F. Selenium and tellurium from copper refinery slimes and their changing applications. World Met. - Erzmet 2008, 61:571-586.
54. Pearson K. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arison from random sampling. Philos. Mag. 1900, 50:157-175.
55. Penney S.R., Allen R.M., Harrison S., Lees T.C., Murphy F.C., Norman A.R. The global distribution of zinc mineralisation, an analysis based on a new zinc deposits database. Appl. Earth Sci. 2004, 113:171-182.
56. Philipps W.G.B., Edwards D.P. Metal prices as a function of ore grade. Resour. Policy 1976, 2:167-178.
57. Polyak, D.E., 2014. Rhenium. USGS Mineral Commodity Summaries, February 2014, pp. 130-131.
58. R Development Core Team, 2004. R: A language and environment for statistical computing. RFoundation for Statistical Computing, Vienna, Austria.
59. Riley K.F., Hobson M.P., Bence S.J. Mathematical methods for physics and engineering, third ed. 2006, Cambridge University Press, Cambridge.
60. Rose A.W. Trace elements in sulfide minerals from the Central district, New Mexico and the Bingham district, Utah. Geochim. Cosmochim. Acta 1967, 31:547-585.
61. Schroll E. Ein Beitrag zur geochemischen Analyse ostalpiner Blei-Zink-Erze. Mitt. Österr. Miner. Ges. Spec. 1954, 3:1-85.
62. Seredin V.V., Danilcheva Y., Magazina L., Sharova I. Ge-bearing coals of the Luzanovka Graben, Pavlovska brown coal deposit, southern Primorye. Lithol. Miner. Resour. 2006, 41:280-301.
63. Shedd, K.B., 2014. Cobalt. USGS Mineral Commodity Summaries, February 2014, pp. 46-47.
64. Silver Institute, 2014. World Silver Survey 2014 Summary, The Silver Institute and Thomson Reuters.
65. Singer D.A. The lognormal distribution of metal resources in mineral deposits. Ore Geol. Rev. 2013, 55:80-86.
66. Singer, D.A., Berger, V.I., Moring, B.C., 2008. Porphyry copper deposits of the world: database and grade and tonnage models, 2008. USGS Open File Report 2008-1155.
67. Steinbach V., Wellmer F.-W. Consumption and use of non-renewable mineral and energy raw materials from an economic geology point of view. Sustainability 2010, 2010:1408-1430.
68. Smirnov N. Table for estimating the goodness of fit of empirical distributions. Ann. Math. Stat. 1948, 19:279-281.
69. Taylor, R.D., Leach, D.L., Bradley, D.C., Pisarevsky, S.A., 2009. Compilation of mineral resource data for Mississippi Valley-Type and clastic-dominated sediment-hosted Pb-Zn deposits. USGS Open-File Report 2009-1297.
70. Tolcin, A.C., 2014a. Cadmium. USGS Mineral Commodity Summaries, February 2014, pp. 36-37.
71. Tolcin, A.C., 2014b. Indium. USGS Mineral Commodity Summaries, February 2014, pp. 74-75.
72. Tolcin, A.C., 2014c. Zinc. USGS Mineral Commodity Summaries, February 2014, pp. 186-187.
73. United Nations World Population Prospects: The 2012 Revision 2013, United Nations, New York.
74. Viets J.G., Hopkins R.T., Miller B.M. Variations in minor and trace metals in sphalerite from Mississippi valley-type deposits of the Ozark region; genetic implications. Econ. Geol. 1992, 87:1897-1905.
75. Wadia C., Alivisatos A.P., Kammen D.M. Materials availability expands the opportunityfor large-scale photovoltaics deployment. Environ. Sci. Technol. 2009, 43:2072-2077.
76. Watts R.L., Gurwell W.E., Jamieson W.M., Long L.W., Palewicz W.T., et al. The Evaluation of Critical Materials for Advanced Design Photovoltaic Cells with an Assessment of Indium and Gallium 1980, Battelle Columbus Laboratory, Pacific Northwest Laboratory, Richland, WA.
77. Wellmer, F.-W., Hannak, W., Krauss, U., Thormann, A., 1990. Deposits of rare metals. In: Kürsten,M. (Ed.) Raw materials for new technologies. In: Proceedings of the fifth internationalsymposium, held in Hannover, Fed. Rep. of Germany, at the Federal Institute forGeosciences and Natural Resources October 19-21, 1988. Schweizerbarth, Stuttgart, pp. 71-122.
78. World Energy Council, 2010. 2010 Survey of Energy Resources. World Energy Council, London.
79. Zhou T., Zhong X., Zheng L. Recovering In, Ge and Ga from zinc residues. J. Met. 1989, 41:36-40.
80. Zhuang X., Querol X., Alastuey A., Juan R., Plana F., Lopez-Soler A., Du G., Martynov V.V. Geochemistry and mineralogy of the Cretaceous Wulantuga high-germanium coal deposit in Shengli coal field, Inner Mongolia, Northeastern China. Int. J. Coal Geol. 2006, 66:119-136.
81. Zuser A., Rechenberger H. Considerations of resource availability in technology development strategies: the case of photovoltaics. Resour. Conserv. Recycl. 2011, 56:56-65.
82. van den Boogaart K.G., Tolosana-Delgado R. Analyzing Compositional Data with R 2013, Springer, Heidelberg-New York-Dodrecht-London.