Modeling, simulation, and optimization of geothermal energy production from hot sedimentary aquifers

dc.bibliographicCitation.firstPage67eng
dc.bibliographicCitation.issue1eng
dc.bibliographicCitation.journalTitleComputational geosciences : modeling, simulation and data analysiseng
dc.bibliographicCitation.lastPage104eng
dc.bibliographicCitation.volume25eng
dc.contributor.authorBlank, Laura
dc.contributor.authorRioseco, Ernesto Meneses
dc.contributor.authorCaiazzo, Alfonso
dc.contributor.authorWilbrandt, Ulrich
dc.date.accessioned2021-10-19T09:31:25Z
dc.date.available2021-10-19T09:31:25Z
dc.date.issued2020
dc.description.abstractGeothermal district heating development has been gaining momentum in Europe with numerous deep geothermal installations and projects currently under development. With the increasing density of geothermal wells, questions related to the optimal and sustainable reservoir exploitation become more and more important. A quantitative understanding of the complex thermo-hydraulic interaction between tightly deployed geothermal wells in heterogeneous temperature and permeability fields is key for a maximum sustainable use of geothermal resources. Motivated by the geological settings of the Upper Jurassic aquifer in the Greater Munich region, we develop a computational model based on finite element analysis and gradient-free optimization to simulate groundwater flow and heat transport in hot sedimentary aquifers, and numerically investigate the optimal positioning and spacing of multi-well systems. Based on our numerical simulations, net energy production from deep geothermal reservoirs in sedimentary basins by smart geothermal multi-well arrangements provides significant amounts of energy to meet heat demand in highly urbanized regions. Our results show that taking into account heterogeneous permeability structures and a variable reservoir temperature may drastically affect the results in the optimal configuration. We demonstrate that the proposed numerical framework is able to efficiently handle generic geometrical and geological configurations, and can be thus flexibly used in the context of multi-variable optimization problems. Hence, this numerical framework can be used to assess the extractable geothermal energy from heterogeneous deep geothermal reservoirs by the optimized deployment of smart multi-well systems. © 2020, The Author(s).eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/7044
dc.identifier.urihttps://doi.org/10.34657/6091
dc.language.isoengeng
dc.publisherNew York, NY [u.a.] : Springer Science + Business Media B.V.eng
dc.relation.doihttps://doi.org/10.1007/s10596-020-09989-8
dc.relation.essn1573-1499
dc.relation.issn1420-0597
dc.rights.licenseCC BY 4.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/eng
dc.subject.ddc550eng
dc.subject.ddc630eng
dc.subject.ddc640eng
dc.subject.other65M60eng
dc.subject.other76S05eng
dc.subject.other86-08eng
dc.subject.other86A20eng
dc.subject.otherFinite element methodeng
dc.subject.otherGeothermal multi-well configurationseng
dc.subject.otherOpen-source softwareeng
dc.subject.otherOptimizationeng
dc.subject.otherPorous and fractured geothermal reservoir modelingeng
dc.subject.otherThermo-hydraulic couplingeng
dc.titleModeling, simulation, and optimization of geothermal energy production from hot sedimentary aquiferseng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorLIAGeng
wgl.contributorWIASeng
wgl.subjectGeowissenschafteneng
wgl.typeZeitschriftenartikeleng
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