Illustrating the Benefits of Openness: A Large-Scale Spatial Economic Dispatch Model Using the Julia Language

dc.contributor.authorWeibezahn, Jens
dc.contributor.authorKendziorski, Mario
dc.date.accessioned2019-08-23T15:24:16Z
dc.date.available2019-08-23T15:24:16Z
dc.date.issued2019-03-25
dc.date.updated2019-08-22T18:11:14Z
dc.description.abstractIn this paper we introduce a five-fold approach to open science comprised of open data, open-source software (that is, programming and modeling tools, model code, and numerical solvers), as well as open-access dissemination. The advantages of open energy models are being discussed. A fully open-source bottom-up electricity sector model with high spatial resolution using the Julia programming environment is then being developed, describing source code and a data set for Germany. This large-scale model of the electricity market includes both generation dispatch from thermal and renewable sources in the spot market as well as the physical transmission network, minimizing total system costs in a linear approach. It calculates the economic dispatch on an hourly basis for a full year, taking into account demand, infeed from renewables, storage, and exchanges with neighboring countries. Following the open approach, the model code and used data set are fully publicly accessible and we use open-source solvers like ECOS and CLP. The model is then being benchmarked regarding runtime of building and solving against a representation in GAMS as a commercial algebraic modeling language and against Gurobi, CPLEX, and Mosek as commercial solvers. With this paper we demonstrate in a proof-of-concept the power and abilities, as well as the beauty of open-source modeling systems. This openness has the potential to increase the transparency of policy advice and to empower stakeholders with fewer financial possibilities.en
dc.description.sponsorshipBMWi, 03ET4028A, Verbundvorhaben: Langfristige Planung und kurzfristige Optimierung des Elektrizitätssystems in Deutschland im europäischen Kontext, Teilvorhaben: Langfristige Planung des Übertragungsnetzes in Deutschland unter Berücksichtigung der Interpendenzen zur Erzeugungsplanung, sowie zum Wärme- und Gassektor.en
dc.identifier.eissn1996-1073
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/9883
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-8895
dc.language.isoenen
dc.relation.ispartof10.14279/depositonce-10400en
dc.relation.issupplementedby10.5281/zenodo.1044463
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc004 Datenverarbeitung; Informatikde
dc.subject.ddc333 Boden- und Energiewirtschaftde
dc.subject.otherpower systems modelingen
dc.subject.otheropen sourceen
dc.subject.otheralgebraic modeling languageen
dc.subject.otheroptimizationen
dc.subject.otherbenchmarkingen
dc.subject.otherJuliaen
dc.subject.otherJuMPen
dc.titleIllustrating the Benefits of Openness: A Large-Scale Spatial Economic Dispatch Model Using the Julia Languageen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.articlenumber1153en
dcterms.bibliographicCitation.doi10.3390/en12061153en
dcterms.bibliographicCitation.issue6en
dcterms.bibliographicCitation.journaltitleEnergiesen
dcterms.bibliographicCitation.originalpublishernameMDPIen
dcterms.bibliographicCitation.originalpublisherplaceBaselen
dcterms.bibliographicCitation.volume12en
tub.accessrights.dnbfreeen
tub.affiliationFak. 7 Wirtschaft und Management>Inst. Volkswirtschaftslehre und Wirtschaftsrecht (IVWR)>FG Wirtschafts- und Infrastrukturpolitik (WIP)de
tub.affiliation.facultyFak. 7 Wirtschaft und Managementde
tub.affiliation.groupFG Wirtschafts- und Infrastrukturpolitik (WIP)de
tub.affiliation.instituteInst. Volkswirtschaftslehre und Wirtschaftsrecht (IVWR)de
tub.publisher.universityorinstitutionTechnische Universität Berlinen
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