Evaluating the environmental sustainability of perovskite
solar
cells (PSC) as an emerging functional material (FunMat) requires upscaling
scenarios to assess environmental impacts adequately and detect possible
risks before commercialization. Previous studies took life cycle assessment
(LCA) to anticipate the environmental performance of prospective PSC
applications and compared it to commercial benchmarks. However, these
comparisons are biased, since upscaling has not been addressed at
all or comprehensively. We evaluate the climate-friendliness and resource
efficiency of PSC modules upscaled using UpFunMatLCAa scheme
to generate systematically upscaling scenarios in prospective LCA.
Upscaling manufacturing demand is performed using three-stage process
learning: (1) technological learning, (2) size scaling, and (3) industrial
learning. The upscaled PSC modules are deployed worldwide, including
country-specific irradiation and PSC’s temperature effect.
The novel indicator, the environmental break-even time, indicates
when the upscaled PSC’s environmental impacts offset country-specific
electricity mixes. If PSC modules achieve five years lifetime, they
will be applied as climate-friendly energy technology in almost all
worldwide countries. Demonstrating resource efficiency required the
inclusion of additional material learning. UpFunMatLCA does not provide
definitive environmental impacts but strives to generate realistic
scenarios based on current knowledge to drive the future environmental
sustainability of PSC applications.