BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20230124T170804Z
LOCATION:C1-2-3
DTSTART;TZID=America/Chicago:20221116T083000
DTEND;TZID=America/Chicago:20221116T170000
UID:submissions.supercomputing.org_SC22_sess274_rpost109@linklings.com
SUMMARY:Enabling Energy Systems Research on HPC
DESCRIPTION:Posters, Research Posters\n\nEnabling Energy Systems Research 
 on HPC\n\nBreuer, Cao, Wetzel, Frey, Sasanpour...\n\nEnergy systems resear
 ch strongly relies on large modeling frameworks. Many of them use linear o
 ptimization approaches to calculate blueprints for ideal future energy sys
 tems, which become increasingly complex, as do the models. The state of th
 e art is to compute them with shared-memory computers combined with approa
 ches to reduce the model size. We overcome this and implement a fully auto
 mated workflow on HPC using a newly developed solver for distributed memor
 y architectures. Moreover, we address the challenge of uncertainty in scen
 ario analysis by performing sophisticated parameter variations for large-s
 cale power system models, which cannot be solved in the conventional way. 
 Preliminary results show that we are able to identify clusters of future e
 nergy system designs, which perform well from different perspectives of en
 ergy system research and also consider disruptive events. Furthermore, we 
 also observe that our approach provides the most insights when being appli
 ed to complex rather than simple models.\n\nRegistration Category: Tech Pr
 ogram Reg Pass, Exhibits Reg Pass
END:VEVENT
END:VCALENDAR