Foster, K.
and Mathur, N.
(2024),
Forecasting demand data for critical materials, Data in Brief, [online], https://doi.org/10.1016/j.dib.2024.111013, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=958435
(Accessed December 17, 2024)
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Forecasting demand data for critical materials
Published
Author(s)
Kyle Foster,
Abstract
Gallium, Indium and Cobalt are critical materials that vital to ramping up the adoption of clean energy technologies such as solar photovoltaics (PVs), electric vehicles (EVs) and wind turbines (WTs). Like other critical materials, they too are prone to supply chain risks resulting in future uncertainty associated with supply, demand and price parameters. Understanding current and future market dynamics is vital to mitigating this uncertainty. This article applies the Bass Diffusion Model to generate demand projections as three data sets each for Gallium, Indium and Cobalt till 2050. Generating and compiling these data are one step in enabling insights on future market parameters of the considered materials and the clean energy products that rely on their availability. Going forward this data has the potential to contribute towards understanding other market parameters such as supply and prices.Citation
Data in Brief
Pub Type
Journals
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Keywords
Bass Diffusion Model, market dynamics, Cobalt, Gallium, Indium, critical materials
Citation
Issues
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Created October 9, 2024, Updated October 10, 2024