DC ElementWertSprache
dc.contributor.authorRöben, Felix-
dc.contributor.authorSchäfers, Hans-
dc.contributor.authorMeißner, Anna-
dc.contributor.authorDe Haan, Jerom-
dc.date.accessioned2021-07-02T13:59:27Z-
dc.date.available2021-07-02T13:59:27Z-
dc.date.issued2021-04-19-
dc.identifier.issn1996-1073en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12738/11178-
dc.description.abstractRecent EU legislation enforces the integration of European balancing markets, with har-monized products and international platforms for the procurement and activation of reserves; nonetheless, different power balancing strategies remain. The Netherlands and Belgium encourage market participants to support balancing the control block by publishing real-time information. This article refers to such concepts as smart balancing, and a market simulation tool was developed to assess the relevant market parameters for effective smart balancing. This shall contribute to the true integration of real-time balancing energy markets. The scope of the assessment of relevant market parameters was Germany, and the results showed that a pricing scheme had less impact on the results, as currently is understood by European TSOs and regulators. Moreover, the accuracy and frequency of real-time publication indicate the effectiveness of smart balancing and the associated reduction of the activation of balancing energy and associated costs. Consequently, this article proposed a road map for Germany to introduce an adapted smart balancing approach, starting with a simple traffic light.en
dc.description.sponsorshipHochschule für Angewandte Wissenschaften Hamburgen_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.ispartofEnergiesen_US
dc.subjectEnergy market designen_US
dc.subjectSmart balancingen_US
dc.subjectPassive balancingen_US
dc.subject.ddc620: Ingenieurwissenschaftenen_US
dc.titleSmart balancing of electrical power in germany : fuzzy logic model to simulate market responseen
dc.typeArticleen_US
dc.identifier.doi10.48441/4427.432-
dc.description.versionPeerRevieweden_US
openaire.rightsinfo:eu-repo/semantics/openAccessen_US
tuhh.container.issue8en_US
tuhh.container.volume14en_US
tuhh.identifier.urnurn:nbn:de:gbv:18302-reposit-126479-
tuhh.oai.showtrueen_US
tuhh.publication.instituteCompetence Center Erneuerbare Energien und Energieeffizienzen_US
tuhh.publication.instituteDepartment Umwelttechniken_US
tuhh.publication.instituteFakultät Life Sciencesen_US
tuhh.publisher.doi10.3390/en14082309-
tuhh.type.opus(wissenschaftlicher) Artikel-
dc.rights.cchttps://creativecommons.org/licenses/by/4.0/en_US
dc.type.casraiJournal Article-
dc.type.diniarticle-
dc.type.driverarticle-
dc.type.statusinfo:eu-repo/semantics/publishedVersionen_US
dcterms.DCMITypeText-
datacite.relation.IsSupplementedBydoi:10.5281/zenodo.4699695en_US
tuhh.container.articlenumber2309en_US
local.comment.externalRöben, F.; Schäfers, H.; Meißner, A.; de Haan, J. Smart Balancing of Electrical Power in Germany: Fuzzy Logic Model to Simulate Market Response. Energies 2021, 14, 2309. https://doi.org/10.3390/en1408230. This article belongs to the Special Issue Behavioural and Societal Aspects of Decision Making in Energy Systems and Markets. The APC was funded by Hamburg University of Applied Sciences.-
tuhh.apc.statustrueen_US
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.openairetypeArticle-
item.creatorGNDRöben, Felix-
item.creatorGNDSchäfers, Hans-
item.creatorGNDMeißner, Anna-
item.creatorGNDDe Haan, Jerom-
item.languageiso639-1en-
item.creatorOrcidRöben, Felix-
item.creatorOrcidSchäfers, Hans-
item.creatorOrcidMeißner, Anna-
item.creatorOrcidDe Haan, Jerom-
item.cerifentitytypePublications-
crisitem.author.deptCompetence Center Erneuerbare Energien und Energieeffizienz-
crisitem.author.deptDepartment Umwelttechnik-
crisitem.author.orcid0000-0002-5209-8746-
crisitem.author.orcid0000-0002-7878-1260-
crisitem.author.parentorgPräsidium-
crisitem.author.parentorgFakultät Life Sciences-
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