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dc.contributor.authorWeyand, Steffi
dc.contributor.authorKawajiri, Kotaro
dc.contributor.authorMortan, Claudiu
dc.contributor.authorSchebek, Liselotte
dc.descriptionSupporting information for UpFunMatLCA, the Scheme for Upscaling of Emerging Functional Material Based Energy Technologies in Prospective LCA, published in Weyand, S., Kawajiri, K., Mortan, C. & Schebek, L. (2023.) Scheme for Upscaling of Emerging Functional Material Based Energy Technologies in Prospective LCA (UpFunMatLCA): General Methodology and Practical Implementation for the Case of Perovskite Solar Cells. Journal of Industrial Ecology. DOI: 10.1111/jiec.13394 This supporting information includes modelled upscaling modules and data sets of the UpFunMatLCA scheme. In particular, all collected data sets of the modelled process learning modules AM1 (Technological learning module “mapping of technologies”) and AM2 (AM-2 Size scaling module “equipment scaling”). Upscaling module: AM-1 Mapping of technologies: - Search criteria of the systematic literature search and patent analysis - All literature results - Evaluation of the manufacturing processes for manufacturing area > 5cm² - Evaluation of the manufacturing processes for flexible PSC - Patent database Upscaling module: AM-2 Equipment scaling (Summary of all empirical data sets and detailed regression models): - Spray coating - Spray coater - Sputtering - Sputter coater - Sputtering - Vacuum pump - Spin coating - Spin coater - Slot die coating - Slot die coater - Annealing - Hot oven (harmonized to substrate area) - Sintering/ Heating - Hot platede_DE
dc.rightsCreative Commons Attribution 4.0
dc.subject.classification406-01 Herstellung und Eigenschaften von Funktionsmaterialiende_DE
dc.titleUpFunMatLCA - Process learning upscaling modules AM1 and AM2 - model and datade_DE

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