
Team ANYMO
Forschungszentrum Jülich
Lewin Leihkamm, Oleksandr Mashkov
NEXT-GEN SOLAR ANALYSIS: AI AND NEAR-INFRARED (NIR) SPECTROSCOPY IDENTIFY POLYMERS
IN PV MODULES – ON-SITE, INSTANTLY, SUSTAINABLY
ANYMO is developing a compact, field-ready solution to tackle a growing need in solar energy: reliable
identification of polymeric materials in photovoltaic (PV) modules, especially those destined for
recycling or reuse. Our system combines portable NIR spectroscopy with an expanding database of
spectral fingerprints from backsheets and encapsulants across a variety of PV technologies
including emerging perovskite, tandem, and organic solar modules.
Traditional module characterization methods are time-intensive, require sample removal, or happen
too late in the value chain. ANYMO changes this. By identifying materials directly in the field using AI
powered analysis, we enable faster decision-making for recycling workflows, sorting processes, and
long-term documentation of material use in PV systems.
Designed for ease of use and data security, ANYMO processes spectra locally – no cloud upload
needed. This makes it ideal for large solar parks, recycling centers, and research institutions alike. The
technology also supports circularity by helping identify polymer types critical for closed-loop
recycling strategies and materials tracking. ANYMO’s growing dataset is curated from both lab and
field modules, aiming to set a new standard in digital material fingerprinting for the solar industry. By
revealing what lies beneath the surface – efficiently and sustainably – ANYMO contributes to a
cleaner, more circular solar future