Silver as a Constraint for a Large-Scale Development of Solar Photovoltaics? Scenario-Making to the Year 2050 Supported by Expert Engagement and Global Sensitivity Analysis
暂无分享,去创建一个
[1] A. Saltelli,et al. Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices , 2017, Environ. Model. Softw..
[2] Arthur C. Petersen,et al. Assessing qualitative and quantitative dimensions of uncertainty in energy modelling for policy support in the United Kingdom , 2018, Energy Research & Social Science.
[3] Gavin M. Mudd,et al. Global Resource Assessments of Primary Metals: An Optimistic Reality Check , 2018, Natural Resources Research.
[4] M. Höök,et al. Material requirements and availability for multi-terawatt deployment of photovoltaics , 2017 .
[5] Mario Giampietro,et al. What is wrong with evidence based policy, and how can it be improved? , 2017 .
[6] Gavin Mark Mudd,et al. The world's lead-zinc mineral resources: Scarcity, data, issues and opportunities , 2017 .
[7] Andréa Moura Bernardes,et al. Recycling WEEE: Extraction and concentration of silver from waste crystalline silicon photovoltaic modules. , 2016, Waste management.
[8] Stefano Tarantola,et al. Trends in sensitivity analysis practice in the last decade. , 2016, The Science of the total environment.
[9] Piotr Panek,et al. The New Copper Composite of Pastes for Si Solar Cells Front Electrode Application , 2016 .
[10] WHAT WILL THE ENERGY TRANSFORMATION COST ? Pathways for transforming the German energy system by 2050 , 2016 .
[11] A. García-Olivares. Substituting silver in solar photovoltaics is feasible and allows for decentralization in smart regional grids , 2015 .
[12] T. Graedel,et al. Solar cell metals and their hosts: A tale of oversupply and undersupply , 2015 .
[13] Robert L. Jaffe,et al. Pathways for solar photovoltaics , 2015 .
[14] Jonas Bartsch,et al. Characterization of Copper Diffusion in Silicon Solar Cells , 2015 .
[15] Nick E. Powell,et al. Non-contacting Busbars for Advanced Cell Structures Using Low Temperature Copper Paste , 2015 .
[16] N. T. Nassar,et al. By-product metals are technologically essential but have problematic supply , 2015, Science Advances.
[17] C. Gleeson. On the energy [R]evolution: a sustainable world energy outlook 2015 , 2015 .
[18] Annarita Paiano,et al. Photovoltaic waste assessment in Italy , 2015 .
[19] A. Thorenz,et al. Silver supply risk analysis for the solar sector , 2014 .
[20] D. Koca,et al. Investigating the sustainability of the global silver supply, reserves, stocks in society and market price using different approaches , 2014 .
[21] Peter Engelhart,et al. International Technology Roadmap for Photovoltaic ( ITRPV ) 2017 Results , 2014 .
[22] T. Graedel,et al. Dynamic analysis of the global metals flows and stocks in electricity generation technologies , 2013 .
[23] Harald Sverdrup,et al. Peak Metals, Minerals, Energy, Wealth, Food and Population: Urgent Policy Considerations for a Sustainable Society , 2013 .
[24] Gunnar Schubert,et al. The Future of Metallization – Results from Questionnaires of the Four Workshops from 2008 to 2013 , 2013 .
[25] Thomas F. Jaramillo,et al. Addressing the terawatt challenge: scalability in the supply of chemical elements for renewable energy , 2012 .
[26] Mario Giampietro,et al. Energy Analysis for a Sustainable Future: Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism , 2012 .
[27] Gang Li,et al. Visibly transparent polymer solar cells produced by solution processing. , 2012, ACS nano.
[28] D. Koca,et al. Assessing Long Term Sustainability of Global Supply of Natural Resources and Materials , 2012 .
[29] H. Rechberger,et al. Considerations of resource availability in technology development strategies: The case study of photovoltaics , 2011 .
[30] René Kleijn,et al. Metal requirements of low-carbon power generation , 2011 .
[31] Richard Heinberg,et al. The End of Growth: Adapting to Our New Economic Reality , 2011 .
[32] D. Shahsavani,et al. Variance-based sensitivity analysis of model outputs using surrogate models , 2011, Environ. Model. Softw..
[33] Paola Annoni,et al. Sixth International Conference on Sensitivity Analysis of Model Output How to avoid a perfunctory sensitivity analysis , 2010 .
[34] Paola Annoni,et al. Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index , 2010, Comput. Phys. Commun..
[35] Saltelli Andrea,et al. Global Sensitivity Analysis: The Primer , 2008 .
[36] A. Feltrin,et al. Material considerations for terawatt level deployment of photovoltaics , 2008 .
[37] Stephan Schmid,et al. energy [r]evolution - A sustainable world energy outlook , 2007 .
[38] Richard Heinberg. Peak everything: waking up to the century of decline in Earth's resources , 2007 .
[39] T. Graedel,et al. Metal stocks and sustainability , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[40] J van der Sluijs,et al. Experiences with the NUSAP system for multidimensional uncertainty assessment. , 2005, Water science and technology : a journal of the International Association on Water Pollution Research.
[41] Richard Heinberg. The Party's Over: Oil, War, and the Fate of Industrial Societies , 2005 .
[42] W. C. Butterman,et al. Mineral commodity profiles: Silver , 2005 .
[43] Stefano Tarantola,et al. Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models , 2004 .
[44] H. Hilliard. Silver recycling in the United States in 2000 , 2003 .
[45] Peter Erskine Wells,et al. The technology roadmap , 2002 .
[46] I. Sobol,et al. Sensitivity Measures, ANOVA-like Techniques and the Use of Bootstrap , 1997 .
[47] Jerome R. Ravetz,et al. Uncertainty and Quality in Science for Policy , 1990 .
[48] Paul Bratley,et al. Algorithm 659: Implementing Sobol's quasirandom sequence generator , 1988, TOMS.