Eco-efficiency indicator framework implemented in the metallurgical industry: part 2—a case study from the copper industry
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Sustainability differentiation has become an important issue for companies throughout the value chain. There is thus a need for detailed and credible analyses, which show the current status and point out where improvements can be done and how. The study describes how a comprehensive product-centric eco-efficiency indicator framework can be used to evaluate, benchmark, and communicate the sustainability of a copper production value chain. The indicator framework, together with the suggested data collection and simulation methods, aims at evaluating the whole system, while still enabling a focus on scopes of different width. The status of the environment, current production technologies, location-specific and process-specific issues all play a role in achieving sustainable development.
Copper cathode production from copper ore was chosen to exemplify the developed framework. Data sets from a simulation tool were used when available and LCI databases and LCA software were utilized for the remaining steps. The value chain is analyzed and the benchmark for each indicator built according to the new Gaia Refiner indicator framework. This method enables analysis of specific production steps with a higher degree of accuracy.
Results and discussion
The case study shows how some important environmental sustainability issues in copper production can be analyzed and benchmarked within a product group. Benchmark data is collected and used in the analysis for the selected system scope. Data availability is still an issue and the example shows which areas require more information in this context so that products and value chains can be benchmarked in the future on a more consistent basis. The energy mix, chemical use, and land use contribute to potential environmental sustainability risks within the product benchmarking group, while emissions control shows competitive environmental sustainability advantages for the case study.
The methodology is shown to work well in highlighting the sustainability advantages and risks of value chains in copper production with the selected system scope in a visual manner through the Sustainability Indicator “Flower.” The importance of a baseline is clear. The effect of the metal ore grade on the results shows that the scalability of the analysis system is very important. Scaling the system scope up will show the differences in varying value chains and scaling the system scope down will show efficiency differences between more similar value chains, thus visualizing where innovation has the biggest impact.
KeywordsBenchmarking Circular economy Eco-efficiency Footprint Indicator Metallurgy Process and system simulation Resource efficiency Sustainability
Compliance with ethical standards
This study was funded by Outotec Oyj and Gaia Consulting Oy. HSC Sim is a product of Outotec Oyj and Gaia Refiner is a product of Gaia Consulting Oy.
- Ayres R, Ayres L, Råde I (2002) The life cycle of copper, its coproducts and by-products. Mining, minerals and sustainable Development, No. 24, 2002Google Scholar
- BGS (2012) Risk list 2012—Current supply risk for chemical elements or element groups which are of economic value. British Geological SurveyGoogle Scholar
- Brown TJ, Hobbs SF, Mills AJ, Petavratzi E, Raycraft ER, Shaw RA, Bide T (2013) European Mineral Statistics 2007-11. A product of the World Mineral Statistics Database. British Geological Survey, NottinghamGoogle Scholar
- ECI (European Copper Institute) (2012) ECI Copper Installations 2008. Copper smelters and refineries in the EUGoogle Scholar
- European Commission (2009) Reference document on Best Available Techniques for Management of Tailings and Waste-Rock in Mining ActivitiesGoogle Scholar
- European Commission (2014a) Annexes to the report on critical raw materials for the EU. Report of the Ad Hoc Working Group on defining critical raw materials. http://ec.europa.eu/growth/sectors/raw-materials/specific-interest/critical/index_en.htm. Accessed 2 June 2015
- European Commission (2014b) Best available techniques (BAT) reference document for the Non-Ferrous Metals Industries, Draft, Joint research centre: Institute for Prospective Technological Studies, Sustainable Production and Consumption Unit, European IPPC BureauGoogle Scholar
- EUROSTAT (2015a) Complete energy balances—annual data [nrg_110a]. Non-Ferrous metalsGoogle Scholar
- EUROSTAT (2015b) Air emissions accounts by industry and households (NACE Rev. 2) [env_ac_ainah_r2]. Manufacturing of basic metalsGoogle Scholar
- EUROSTAT (2015c) Water use in the manufacturing industry by activity and supply category [env_wat_ind]. Manufacturing of basic metalsGoogle Scholar
- EUROSTAT (2015d) Generation of waste [env_wasgen]. Mining and quarrying/ Manufacture of basic metalsGoogle Scholar
- FaoSTAT (2013) Food and agriculture organizations of the United Nations. Downloadable database. Yield of crop production. Available at: http://faostat.fao.org/site/339/default.aspx
- FOREST EUROPE, UNECE and FAO (2011) State of Europe’s Forests 2011. Status and trends in sustainable forest management in EuropeGoogle Scholar
- IFC (International Finance Corporation) (2012) International Finance Corporation’s Guidance notes: performance standards on environmental and social sustainabilityGoogle Scholar
- ISO (International Standards Organisation) (2006) ISO14044: environmental management—life cycle assessment—requirements and guidelinesGoogle Scholar
- Kauppila P, Räsänen ML, Myllyoja S (2011) Best environmental practices in metal ore mining. Finnish Environment Institute 29/2011. https://helda.helsinki.fi/handle/10138/40006. Accessed 29 Jan 2015
- Nuss P, Eckelman MJ (2014) Life cycle assessment of metals: a Scientific synthesis. PLoS ONE 9(7):e101298. doi: 10.1371/journal.pone.0101298
- Pitt CH, Wadsworth ME (1980) An assessment of energy requirements in proven and new copper processes. US Department of Energy contract no. EM-78-S-07-174Google Scholar
- Reuter MA, van Schaik A (2013) Ten design for recycling rules, product-centric recycling & urban/landfill mining. Proceedings 2nd international academic symposium on enhanced landfill mining, 14–16 October 2013, Greenville, Houthalen-Helchteren, Belgium, 103–117Google Scholar
- Reuter MA, Matusewicz R, van Schaik A (2015b) Lead, Zinc and their minor elements: enablers of a circular economy. World Metall-Erzmetall 68(3):132–146Google Scholar
- Schlesinger ME, King M, Sole K, Davenport W (2011) Extractive metallurgy of copper, 5th edn. Elsevier, AmsterdamGoogle Scholar
- United Nations (2011) Globally Harmonized system of classification and labelling of chemicals (GHS), 4th revised edn. eISBN No. 978-92-1-054745-1Google Scholar
- Worrell E, Phylipsen D, Einstein D, Martin N (2000) Energy use and energy intensity of the U.S. chemical industry. Energy Analysis Department, Environmental Energy Technologies Division, Ernest Orlando Lawrence Berkeley National Laboratory, California. https://www.energystar.gov/ia/business/industry/industrial_LBNL-44314.pdf. Accessed 27 Apr 2015
- Yeh S, Jordaan S, Brandt A, Tureskey M, Spatari S, Keth D (2010) Land use greenhouse gas emissions from Conventional Production and Oil Sands. 29nd USAEE/IAEE North American Conference October 16, 2010 Calgary, CAGoogle Scholar