Published October 2, 2024 | Version v1

SQL database with detailed characteristic measurement results of photovoltaic modules that were subjected to accelerated aging sequences

  • 1. ROR icon University of Applied Sciences Technikum Wien
  • 2. ROR icon Polymer Competence Center Leoben (Austria)
  • 3. ROR icon Silicon Austria Labs (Austria)
  • 4. ROR icon TÜV (Austria)

Description

All measurement results are organized in an optimized database, which forms the information base for setting up models for climate sensitive ageing and degradation processes/mechanisms. The database is structured around the modules (module = device under test), see general scheme given in https://doi.org/10.1002/pip.3090. Modules are logically connected via their specific ageing module groups with strictly associated ageing actions and instances. As stated above, a set of three identical modules is stored together in each specific ageing action (= accelerated ageing test as described in detail in Table 1 of https://doi.org/10.1002/pip.3090) in order to increase the statistical reliability. Those triples are logically grouped in the database with the corresponding acquired measurement results being canonicalized and stored in the database as well. For future applications (modelling), all measurement information is kept as complete as possible; aggregation is avoided.

Files

documentation.zip

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Additional details

Related works

Is described by
Publication: 10.1002/pip.3090 (DOI)
Is source of
Publication: 10.1016/j.solmat.2023.112485 (DOI)
Publication: 10.1002/pip.3679 (DOI)

Funding

Austrian Research Promotion Agency
ADVANCE! Advance Degradation Modelling of Photovoltaic Modules and Materials! 881133