PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Exergy life cycle assessment indicators in Colombian gold mining sector

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Thermodynamic methods, such as exergy analysis allow the assessment of environmental load (environmental impacts), by calculating the entropy generated or exergy destroyed due to the use of renewable and non-renewable resources along the entire production chain. In this research, exergy analysis will be approached as an extension of LCA to ExLCA (Exergy Life Cycle Assessment), as complementary tools, for sustainability assessment of two gold mining systems in Colombia: open-pit and alluvial mining. It is quantified exergy life cycle efficiencies; Cumulative Energy/ Exergy Demand, by distinguishing between renewable and non-renewable resources used in the process. The energy contained in renewable and non-renewable resources, interpreted as a measure of its utility potential, and which inefficient use generates waste streams with an exergy content that may be a measure of its potential to cause environmental damage. For open-pit mining 53% of exergy consumed comes from fossil energy, and 26% of energetic use of water, while in alluvial mining, 94% of exergy flow comes from water as a resource used within process activities. In order to reduce the environmental impact associated with gold generation life cycle described in this study, four strategies should be implemented; 1) Increasing efficiency, by reducing the exergy required in tails and extraction stages in open-pit mining process and, casting and molding stage in alluvial mining process, where large exergy supplies are required. 2) Increasing efficiency through the reduction of exergy emissions and residues in casting and molding stage in alluvial mining, and stripping stage in open-pit mining. 3) Using external exergy resources, such as renewable resources from nature (solar, wind, hydraulic). 4) Applying the concept of circular economy, which implies the reduction in consumption of resources.
Rocznik
Strony
151--165
Opis fizyczny
Bibliogr. 40 poz.
Twórcy
  • Universidad Nacional de Colombia Sede Medellín, Medellín, 050041, Colombia
  • Universidad Nacional de Colombia Sede Medellín, Medellín, 050041, Colombia
  • Universidad Nacional de Colombia Sede Medellín, Medellín, 050041, Colombia
Bibliografia
  • [1] ICMM. Our Work: Sustainable Development Framework. International Council on Mining and Metals; 2012. ”.
  • [2] Mancini L, Benini L, Sala S. Resource Footprint of Europe: Complementarity of Material Flow Analysis and Life Cycle Assessment for Policy Support. Environmental Science and Policy 2015;54.
  • [3] UNEP. Responsible Resource Management for a Sustainable World: Findings International Resource Panel. 2012.
  • [4] WBCSD. Eco-Efficiency: Creating More Value with Less Impact. WBCSD; 2000.
  • [5] Dincer I, Rosen MA. Exergy, Energy, Environment and Sustainable Development. 1a. Ed. Elsevier; 2007.
  • [6] Kharrazi A, Kraines S, Lan H, Yarime M. Advancing Quantification Methods of Sustainability: A Critical Examination Emergy, Exergy, Ecological Footprint, and Ecological Information- Based Approaches. Ecological Indicators 2014; 37(PART A):81-9.
  • [7] Fonseca A, McAllister ML, Fitzpatrick P. Measuring What? A Comparative Anatomy of Five Mining Sustainability Frameworks. Minerals Engineering 2013:46-7.
  • [8] Neumayer E. Weak Versus Strong Sustainability: Exploring the Limits of Two Opposing Paradigms. third ed. Cheltenham, UK: Edward Elgar; 2010.
  • [9] Tuusjärvi M. From a Mine to You : Sustainability of the Finnish Mining Sector in the Context of Global Supply Chains of Metals. 2013.
  • [10] Young J, Septoff A. Digging for Change: Towards a Responsible Minerals Future. An NGO and Community Perspective. ” Mineral Policy Centre; 2002.
  • [11] Lazarevic D, Buclet N, Brandt NJ. The Application of Life Cycle Thinking in the Context of European Waste Policy. Cleaner Production 2012;29(30):199-207.
  • [12] Finnveden G, Arushanyan Y, Brandao M. Exergy as a Measure of Resource Use in Life Cycle Assessment and Other Sustainability Assessment Tools. ” RESOURCES-BASEL; 2016.
  • [13] Awuah-offei K, Adekpedjou A. Application of Life Cycle Assessment in the Mining Industry. 2011. p. 82-9.
  • [14] Dincer I, Rosen MA. Exergy Analysis of Heating, Refrigerating and Air Conditioning. Methods and Applications Chapter 1 - Exergy and Its Ties to the Environment, Economics, and Sustainability. 2015.
  • [15] Niembro I, Gonzalez M. “Energía y Exergía : Enfoques Hacia La Sostenibilidad Mediante El Anàlisis de Ciclo de Vida. Congreso Nacional del Medio Ambiente. 2012.
  • [16] Ayres RU, Ayres LW, Martinas K. Exergy, Waste Accounting and Life-Cycle Analysis. Energy 1998;23:355-63.
  • [17] Dewulf J, et al. Cumulative Exergy Extraction from the Natural Environment (CEENE): A Comprehensive Life Cycle Impact Assessment Method for Resource Accounting. ” Environmental Science and Technology; 2007.
  • [18] Domínguez A, Valero A, Valero A. Exergy Accounting Applied to Metallurgical Systems: The Case of Nickel Processing. Energy 2013;62:37-45.
  • [19] Finnveden G, Östlund P. Exergies of Natural Resources in Life-Cycle Assessment and Other Applications. Energy 1997; 22(9):923-31.
  • [20] Gössling-Reisemann S. Combining LCA with Thermodynamics. In: Marx Gomez C, J, Sonnenschein M, Müller M, Welsch H, Rautenstrauch, editors. Information Technologies in Environmental Engineering. Springer; 2007. Heidelberg, Germany.
  • [21] Zah R, Böni H, Gauch M, Hischier R, Lehmann M, Wäger P. Life Cycle Assessment of Energy Products: Environmental Assessment of Biofuels. EMPA; 2007.
  • [22] Benetto E, Dujet C, Rousseaux P. Possibility Theory: A New Approach to Uncertainty Analysis? The International Journal of Life Cycle Assessment 2006;11(2):114-6.
  • [23] Maes D, Van Passel S. Advantages and Limitations of Exergy Indicators to Assess Sustainability of Bioenergy and Biobased Materials. Environmental Impact Assessment Review 2014.
  • [24] Carmona G, Luis KW, Valero A, Valero A. Colombian Mineral Resources: An Analysis from a Thermodynamic Second Law Perspective. Resources Policy 2015;45:23-8.
  • [25] Corneliessen RL. Thermodynamics and Sustainable Development. The Use of Exergy Analysis and the Reduction of Irreversibility. ” Univ. of Twente; 1997.
  • [26] Portha JF, Louret S, Pons MN, Jaubert JN. Estimation of the Environmental Impact of a Petrochemical Process Using Coupled LCA and Exergy Analysis. Resources, Conservation and Recycling 2010;54(5):291-8.
  • [27] Rocco MV, Di Lucchio A, Colombo E. Exergy Life Cycle Assessment of Electricity Production from Waste-to-Energy Technology: A Hybrid Input-Output Approach. Applied Energy 2017;194:832-44.
  • [28] Rubio Rodríguez MA, De Ruyck J, Díaz PR, Verma VK, Bram S. An LCA Based Indicator for Evaluation of Alternative Energy Routes. Applied Energy 2011;88:630-5.
  • [29] Luu LQ, Halog A. Sustainability in the Design, Synthesis and Analysis of Chemical Engineering Processes Life Cycle Sustainability Assessment: A Holistic Evaluation of Social, Economic, and Environmental Impacts. 2016.
  • [30] De Meester B, Jo D, Arnold J, Van Langenhove H. An Improved Calculation of the Exergy of Natural Resources for Exergetic Life Cycle Assessment (ELCA). Environ. Sci. Technol 2006;40(21):6844-51.
  • [31] Bösch ME, Hellweg S, Huijbregts M, Frischknecht R. Applying Cumulative Exergy Demand (CExD) Indicators to the Ecoinvent Database. International Journal of Life Cycle Assessment 2007;12:181-90.
  • [32] UNDP. United Nations Development Programme. Human Development Reports. 2016.
  • [33] CIPRO. Redescubriendo La Minería Aurifera Aluvial. Colombia: Bogotá; 2014.
  • [34] Cano LNA, Velásquez HI, McIntyre N. Comparing the Environmental Sustainability of Two Gold Production Methods Using Integrated Emergy and Life Cycle Assessment. Ecological Indicators 2019;107:105600.
  • [35] Cano N. Sustainability Assessment of Alluvial and Open Pit Mining Systems in Colombia: Life Cycle Assessment, Exergy Analysis, and Emergy Accounting. ” Universidad Nacional de Colombia; 2018.
  • [36] Cano N, Osorio J, García F, Franco I. SDG 6 Clean Water and Sanitation: Sustainable Use of Energy and Water Resources in the Mining Sector: A Comparative Case Study of Open-Pit and Alluvial Mining Technology. In: Franco Isabel B, Derbyshire Ellen, Chatterji Tathagata, Tracey James, editors. Actioning the Global Goals for Local Impact Towards Sustainability Science, Policy, Education and Practice. Singapore: Springer Nature Singapore; 2019. p. 85-104.
  • [37] Hischier R, et al. Implementation of Life Cycle Impact Assessment Methods Data v2.2. ecoinvent Report No. 2010; 3(3):176. 2010.
  • [38] Ministry of Mines and Energy. Política Mínera de Colombia Bases Para La Minería Del Futuro, ”; 2016. p. 62.
  • [39] Babic A, et al. Overall Bias Methods and Their Use in Sensitivity Analysis of Cochrane Reviews Were Not Consistent. Journal of Clinical Epidemiology Journal Pr 2019.
  • [40] Szargut J, Morris DR, Steward FR. Exergy Analysis of Thermal, Chemical and Metallurgical Processes. New York, NY, USA: Hemisphere; 1988.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-75d08bda-13ad-4919-b1ec-ac5edd9ad10a
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.