Publication:
Towards optimal operation of large-scale electric bus depots

cris.customurl 17090
cris.virtual.department Elektrische Energiesysteme
cris.virtual.departmentbrowse Elektrische Energiesysteme
cris.virtual.departmentbrowse Elektrische Energiesysteme
cris.virtual.departmentbrowse Elektrische Energiesysteme
cris.virtual.departmentbrowse Elektrische Energiesysteme
cris.virtualsource.department 048aaa0e-b88a-401d-a2e8-5aa2dc1e674f
dc.contributor.advisor Schulz, Detlef
dc.contributor.author Jahic, Amra
dc.contributor.grantor Helmut-Schmidt-Universität / Universität der Bundeswehr Hamburg
dc.contributor.referee Strunz, Kai
dc.date.issued 2024-11-22
dc.description.abstract The shift towards a climate-neutral future is driving the electrification of transportation, particularly through the adoption of electric bus fleets worldwide. While this transition presents infrastructural, financial, and operational challenges, it also creates opportunities for innovative solutions, such as participation in energy markets and the provision of ancillary services. To effectively navigate these challenges and opportunities, the Bus Depot Simulator (BDS) was developed to simulate electric bus depot operations and analyze load flow within the electrical infrastructure. Empirical models of electric buses, based on field data, were integrated into the BDS, which focused on 17 bus depots in Hamburg, Germany. This analysis identified three clusters of depots based on their load profiles. Additionally, the impact of ambient temperature, day of the week, and charging power on the load profile was investigated. This information can assist fleet and grid operators in analyzing, operating, and optimizing electric power systems. Furthermore, algorithms for intelligent route and charging scheduling were created to minimize the costs of electric bus fleets and reduce the resulting load peak at the bus depots. Finally, a new method was proposed to quantify the power flexibility of electric buses, providing valuable insights for fleet operators and market participants in developing future use cases.
dc.description.version VoR
dc.identifier.doi 10.24405/17090
dc.identifier.uri https://openhsu.ub.hsu-hh.de/handle/10.24405/17090
dc.language.iso en
dc.publisher UB HSU
dc.relation.orgunit Elektrische Energiesysteme
dc.rights.accessRights open access
dc.subject Electric buses
dc.subject Load analysis
dc.subject Charging management
dc.subject Vehicle scheduling
dc.subject Flexibility assessment
dc.subject.ddc 629 Andere Fachrichtungen der Ingenieurwissenschaften
dc.title Towards optimal operation of large-scale electric bus depots
dc.type Dissertation
dcterms.bibliographicCitation.originalpublisherplace Hamburg
dcterms.dateAccepted 2024-10-07
dspace.entity.type Publication
hsu.thesis.grantorplace Hamburg
hsu.title.subtitle Load analysis, load management, scheduling, and flexibility assessment
hsu.uniBibliography
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