Energy and carbon profiles
Furnace energy and emission values per product line become the standard question — substantiated, not estimated.
Industry solution
Cullet share, energy, origin: glass is energy-intensive and circular at once. Passenta makes your product data disclosure-ready — for buyers today and passport formats tomorrow.
Glass is being examined in the EU preparatory studies for ESPR; a passport duty is not yet scheduled. The industry is driven by buyers today: construction (EPDs, new Construction Products Regulation), packaging (recyclate quotas) and industry (CSRD reports) request robust energy and material data.
As of July 2026. Regulatory information summarised to the best of our knowledge — not legal advice; the EU legal texts prevail.
Furnace energy and emission values per product line become the standard question — substantiated, not estimated.
Recycled content decides packaging and construction orders — documented per batch, not as annual average prose.
Construction glass needs EPD and DoP structure, packaging glass quota evidence — the same furnace, two disclosure formats.
Energy, emission and material data structured per line; evidence with validity, gaps visible in the report.
Construction, packaging and industrial customers receive fitting views or disclosure packages from the same data base.
Raw material and cullet suppliers contribute via link — in their language, with a traceable chain.
Industry profile available in Passenta — field catalogue included.
Glass is in the ESPR preparatory studies; no date exists. Construction glass additionally touches the new Construction Products Regulation with its own passport system — a structured data base is the groundwork for that too.
Yes — as a substantiated figure with evidence. That makes recyclate quotas robust towards buyers instead of generic.
Disclosure-readiness: EPD data, emission values and origin data sit retrievable — for tenders, customer audits and CSRD contributions.
Start with your product data — or try Passenta without obligation using sample data.