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dc.contributor.authorStadlerova, Sarka
dc.contributor.authorAglen, Trygve Magnus
dc.contributor.authorHofstad, Andreas
dc.contributor.authorSchütz, Peter
dc.date.accessioned2023-01-19T13:37:46Z
dc.date.available2023-01-19T13:37:46Z
dc.date.created2022-09-15T13:03:37Z
dc.date.issued2022
dc.identifier.citationLecture Notes in Computer Science (LNCS). 2022, 13557 306-321.en_US
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/11250/3044673
dc.description.abstractIn this paper, we study a two-stage stochastic multi-period facility location and capacity expansion problem. The problem is motivated by the real-world problem of locating facilities for green hydrogen in Norway. We formulate a model with modular capacities. Investment in a facility and expansion costs represents long-term costs. For each capacity, we define a convex short-term production cost function which enables to capture economies of scale in investment as well as in production. The objective is to minimize the total expected investment, expansion, production and distribution costs while satisfying demand in each scenario. We solve the problem using sample average approximation. The results from solving the problem show that the stochastic problem leads to lower installed capacity in the opening decisions than the expected value problem.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.titleLocating Hydrogen Production in Norway Under Uncertaintyen_US
dc.title.alternativeLocating Hydrogen Production in Norway Under Uncertaintyen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber306-321en_US
dc.source.volume13557en_US
dc.source.journalLecture Notes in Computer Science (LNCS)en_US
dc.identifier.doi10.1007/978-3-031-16579-5_21
dc.identifier.cristin2052034
dc.relation.projectNorges forskningsråd: 257653en_US
cristin.ispublishedtrue
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cristin.fulltextoriginal
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