BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//talks.staging.osgeo.org//flowpath-2025//speaker//898BJG
BEGIN:VTIMEZONE
TZID:CET
BEGIN:STANDARD
DTSTART:20001029T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-flowpath-2025-RZBM3L@talks.staging.osgeo.org
DTSTART;TZID=CET:20250611T180000
DTEND;TZID=CET:20250611T181000
DESCRIPTION:Installation of open-loop geothermal heat pump (GSHP) systems f
 or heating and cooling of buildings requires detailed planning in order to
  maximize management efficiency and minimize unwanted impacts. Failure to 
 do so can induce a decline in public acceptance of these systems. \nGround
 water modeling is essential for extracting management and impact salient i
 nformation from site data\, quantifying the repercussions of data insuffic
 iency\, and providing a basis for effective acquisition of further data. W
 e exemplify a workflow for use in heterogeneous hydrogeological environmen
 ts using a synthetic model based on a real-world setting. Simulation emplo
 ys the MODFLOW 6 Groundwater Energy (GWE) model. The simulator is paramete
 rized with stochastic hydraulic property fields based on nonstationary var
 iograms. This type of parameterization can express hydrogeological conditi
 ons that prevail in complex aquifers such as those that exist near rivers\
 , or are affected by faulting/fracturing. The numerical burden of assimila
 ting borehole head and thermal data in order to quantify and reduce uncert
 ainties of predicted GSHP efficiency and impact is minimal\, as this is im
 plemented using data space inversion (DSI). This eliminates the need for h
 istory-match-adjudicated parameter adjustment\, while associating realisti
 c uncertainties with management-critical predictions. Use of DSI offers th
 e additional benefit of allowing rapid assessment of the ability of as yet
  unacquired data to reduce the uncertainties of key system performance and
  impact predictions\, at the same time as it allows continuous assimilatio
 n of new data that emerges through GSHP operation. \nDespite its outward c
 omplexity\, this approach to open-loop GSHP system management is relativel
 y easy to implement and incurs only a minimal numerical burden.
DTSTAMP:20260427T190650Z
LOCATION:Room R3
SUMMARY:Groundwater Modelling for Open-Loop Geothermal Heat Pump Systems Ma
 nagement - Francesca Lotti
URL:https://talks.staging.osgeo.org/flowpath-2025/talk/RZBM3L/
END:VEVENT
END:VCALENDAR