Supply risks associated with CdTe and CIGS thin-film photovoltaics

Highlights: • Supply risks associated with thin film photovoltaic technologies are considered. • Eleven supply risk indicators are used to evaluate Cd, Te, Cu, In, Ga, Se and Mo. • Indicator weighting based on peer assessment and an Analytic Hierarchy Process. • Various possibilities for the aggregation of elemental supply risks discussed. • Aggregated results show a marginally lower supply risk for CdTe than for CIGS. - Abstract: As a result of the global warming potential of fossil fuels there has been a rapid growth in the installation of photovoltaic generating capacity in the last decade. While this market is dominated by crystalline silicon, thin-film photovoltaics are still expected to make a substantial contribution to global electricity supply in future, due both to lower production costs and to recent increases in conversion efficiency. At present, cadmium telluride (CdTe) and copper-indium-gallium diselenide (CuIn_xGa_1−xSe₂) seem to be the most promising materials and currently have a share of ≈9% of the photovoltaic market. An expected stronger market penetration by these thin-film technologies raises the question as to the supply risks associated with the constituent elements. Against this background, we report here a semi-quantitative, relative assessment of mid- to long-term supply risk associated with the elements Cd, Te, Cu, In, Ga, Se and Mo. In this approach, the supply risk is measured using 11 indicators in the four categories "Risk of Supply Reduction", "Risk of Demand Increase", "Concentration Risk" and "Political Risk". In a second step, the single indicator values, which are derived from publicly accessible databases, are weighted relative to each other specifically for the case of thin film photovoltaics. For this purpose, a survey among colleagues and an Analytic Hierarchy Process (AHP) approach are used, in order to obtain a relative, element-specific value for the supply risk. The aggregation of these elemental values (based on mass share, cost share, etc.) gives an overall value for each material. Both elemental and "technology material" supply risk scores are subject to an uncertainty analysis using Monte Carlo simulation. CdTe shows slightly lower supply risk values for all aggregation options.