Optimized Energy Market Bidding Strategies to Create Revenue from Vehicle to Grid Operation in the Swiss Logistics Sector

dc.contributor.authorSchmitz, Martin Peter
dc.contributor.mentorEhrenthal, Joachim
dc.contributor.mentorWache, Holger
dc.date.accessioned2023-12-22T17:21:17Z
dc.date.available2023-12-22T17:21:17Z
dc.date.issued2022
dc.description.abstractGiven the ever-increasing pressure created by climate change, everyone must contribute to preserving this planet. From a regulatory point of view, this is also the case for the logistics industry, which is facing the challenge of decarbonization as a significant change. Considering the resulting opportunities for new business models, this thesis deals with the statement," Vehicle-to-Grid operation can produce additional revenue by implementing optimal bidding strategies in the Swiss logistics sector through strategic energy market participation without affecting the efficiency of the core business of the logistics operation" and shows ways and strategies to confirm this. Common methods such as the systematic literature review, design science research, and experimental optimization are used. A model specific to the context is instantiated and applied using experimental optimization. As can be seen, profits or cost savings of 2,000€ to almost 70,000€ per month can be achieved under certain conditions without affecting the core business. This is supported by applying bidding strategies in the context of near-reality scenarios, applying actual context data - commodity prices - and using accurate exchange prices of EPEX Spot.
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/41856
dc.language.isoen
dc.publisherHochschule für Wirtschaft FHNW
dc.spatialOlten
dc.subject.ddc330 - Wirtschaft
dc.titleOptimized Energy Market Bidding Strategies to Create Revenue from Vehicle to Grid Operation in the Swiss Logistics Sector
dc.type11 - Studentische Arbeit
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.PublishedSwitzerlandYes
fhnw.StudentsWorkTypeMaster
fhnw.affiliation.hochschuleHochschule für Wirtschaft
fhnw.affiliation.institutMaster of Science
relation.isMentorOfPublication4ede99f3-075f-49f4-ac50-7ee9389ac82d
relation.isMentorOfPublication9a5348f4-47b3-437d-a1f9-7cf66011e883
relation.isMentorOfPublication.latestForDiscovery4ede99f3-075f-49f4-ac50-7ee9389ac82d
Dateien