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UID:pretalx-juliacon-2026-YWMTMA@pretalx.com
DTSTART;TZID=CET:20260814T120000
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DESCRIPTION:It is estimated that by 2030 Germany will produce around 20 _TW
 h_ of green hydrogen per year\, highlighting the need for suitable storage
 . One possible solution is storing the hydrogen in porous underground medi
 a. In this work we analyse the reliability of such a potential storage sit
 e.\n\nReliability analyses typically require tens to hundreds of thousands
  of model evaluations for accurate results\, especially when imprecise pro
 babilities are involved due to limited data availability and input variabl
 es are modelled as intervals or probability boxes. The true model in this 
 study has an associated runtime of around three days rendering a direct re
 liability analysis virtually impossible.\n\nWe use Julia to train an accur
 ate surrogate model on which we are then able to perform our analyses. Pro
 pagating the imprecise input quantities through the surrogate model we obt
 ain bounds on the probability of failure of the system. All algorithms use
 d in this study are implemented in the _UncertaintyQuantification_ package
 .
DTSTAMP:20260502T104015Z
LOCATION:Room 4
SUMMARY:Reliability Analysis of Underground Hydrogen Storage Under Limited 
 Data - Jasper Behrensdorf
URL:https://pretalx.com/juliacon-2026/talk/YWMTMA/
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