System Dynamics Modeling of Indium Material Flows under Wide Deployment of Clean Energy Technologies

Abstract Clean energy technologies represent a promising solution to the global warming challenge. Many clean energy technologies, however, depend on some rare materials and concerns have been raised recently. Indium is one of these materials as it is critical for two emerging energy applications, that is, Copper indium gallium selenide (CIGS) photovoltaics (PV) and light-emitting diode (LED) lighting. This study analyzes the supply and demand of indium under different energy and technology development scenarios using a dynamic material flow analysis approach. A system dynamics model is developed to capture the time-changing stocks and flows related to supply and demand of indium over a 50-year time period, while considering carrier metal (i.e. zinc) production, price elasticity of demand, and indium usage in other applications (mainly liquid crystal display). Simulation results indicate that a shortage on indium is likely to occur in a short time period even under favorite case of indium supply. The rapid expansion of CIGS technology dominates indium demand in about 14 years, which outruns the growth of zinc mine production (thus indium supply). Sensitivity analysis suggests that model parameters related to solar PV market penetration, CIGS technology advancement, and price elasticity of indium demand have large effects on the total indium demand over simulation period. Eight scenarios combining projections on solar PV market growth, technology advancement, and zinc mine production are explored. It is observed that only under conservative estimates of solar PV market growth there is relatively enough indium supply to support the deployment. Even in these scenarios a shortage may occur toward the end of simulation.

[1]  Jaroslav Dvořák,et al.  The material flows of lead in the Czech Republic , 2015 .

[2]  T. G. Goonan Materials flow of indium in the United States in 2008 and 2009 , 2012 .

[3]  T. Zimmermann Dynamic material flow analysis of critical metals embodied in thin-film photovoltaic cells , 2013 .

[4]  Rolf Widmer,et al.  Modeling metal stocks and flows: a review of dynamic material flow analysis methods. , 2014, Environmental science & technology.

[5]  Vasilis Fthenakis,et al.  Dynamic modeling of cadmium substance flow with zinc and steel demand in Japan , 2012 .

[6]  B. Dimmler,et al.  CIGS and CdTe based thin film PV modules, an industrial r/evolution , 2012, 2012 38th IEEE Photovoltaic Specialists Conference.

[7]  Garrett van Ryzin,et al.  An Analysis of Product Lifetimes in a Technologically Dynamic Industry , 1998 .

[8]  R. Kleijn,et al.  Dynamic substance flow analysis: the delaying mechanism of stocks, with the case of PVC in Sweden , 2000 .

[9]  I. Daigo,et al.  Global Substance Flow Analysis of Indium , 2013 .

[10]  John D. Sterman,et al.  System Dynamics: Systems Thinking and Modeling for a Complex World , 2002 .

[11]  Vasilis Fthenakis,et al.  Sustainability of photovoltaics: The case for thin-film solar cells , 2009 .

[12]  P. Baccini,et al.  Sustainable metal management exemplified by copper in the USA , 1999 .

[13]  Julia Kowalski,et al.  Lighting the way: Perspectives on the global lighting market , 2012 .

[14]  Anna Stamp,et al.  Linking energy scenarios with metal demand modeling–The case of indium in CIGS solar cells , 2014 .

[15]  Chang-Ping Yu,et al.  Using material/substance flow analysis to support sustainable development assessment: A literature review and outlook , 2012 .

[16]  S. Glöser,et al.  Dynamic analysis of global copper flows. Global stocks, postconsumer material flows, recycling indicators, and uncertainty evaluation. , 2013, Environmental science & technology.

[17]  K. Nakajima,et al.  Substance Flow Analysis of Indium for Flat Panel Displays in Japan , 2007 .

[18]  M. T. Melo,et al.  Statistical analysis of metal scrap generation: the case of aluminium in Germany , 1999 .

[19]  Judith Gurney BP Statistical Review of World Energy , 1985 .

[20]  Wu Chen,et al.  Substance flow analysis of copper in production stage in the U.S. from 1974 to 2012 , 2015 .

[21]  Yaman Barlas,et al.  A dynamic model of salinization on irrigated lands , 2001 .

[22]  Robert Gross,et al.  A system dynamics model of tellurium availability for CdTe PV , 2014 .

[23]  Andre K. Geim,et al.  The rise of graphene. , 2007, Nature materials.

[24]  H. Rechberger,et al.  Considerations of resource availability in technology development strategies: The case study of photovoltaics , 2011 .

[25]  Yaman Barlas,et al.  Formal aspects of model validity and validation in system dynamics , 1996 .

[26]  Industrialization and the Demand for Mineral Commodities , 2017 .

[27]  Helmut Rechberger,et al.  In-depth analysis of aluminum flows in Austria as a basis to increase resource efficiency , 2014 .

[28]  Yoshihiro Adachi,et al.  Dynamic Substance Flow Analysis of Aluminum and Its Alloying Elements , 2007 .

[29]  Bijan Sarkar,et al.  Design For Reliability With Weibull Analysis For Photovoltaic Modules , 2013 .

[30]  C. Meskers,et al.  Complex Life Cycles of Precious and Special Metals , 2009 .

[31]  Julian M. Allwood,et al.  Mapping the Global Flow of Tungsten to Identify Key Material Efficiency and Supply Security Opportunities , 2015 .

[32]  Tzimas Evangelos,et al.  Critical Metals in Strategic Energy Technologies - Assessing Rare Metals as Supply-Chain Bottlenecks in Low-Carbon Energy Technologies , 2011 .

[33]  L. Morf,et al.  Dynamic Substance Flow Analysis as a Valuable Risk Evaluation Tool – A Case Study for Brominated Flame Retardants as an Example of Potential Endocrine Disrupters , 2008 .