Print Email Facebook Twitter Mitigating Revenue Losses of a Wind Farm in an Offshore Bidding Zone Title Mitigating Revenue Losses of a Wind Farm in an Offshore Bidding Zone: A Scenario-Based Modelling Approach Author Engelhard, Vincent (TU Delft Technology, Policy and Management) Contributor De Vries, Laurens (mentor) Schröder, E. (graduation committee) Koolen, M.J. (graduation committee) Degree granting institution Delft University of Technology Programme Engineering and Policy Analysis Date 2024-05-01 Abstract This study addresses the revenue losses from network congestion of an Offshore Wind Farm (OWF) resulting from the implementation of an Offshore Bidding Zone (OBZ) and explores potential measures to mitigate these effects. The quantitative analysis involves a model that simulates a hypothetical OWF located in the North Sea between Norway and the Netherlands, operating with historical electricity prices and wind data. The OBZ approach is compared with the traditional home market approach to analyse revenues and explore the magnitude of the losses. The implementation of mitigation measures provides insights into their impact on revenues, congestion rents, and compensation. Additionally, the role of long-term contracts is examined to clarify how they influence the effectiveness of these measures. This is followed by an exploration of the different perspectives of the wind farm and the government to understand how these could shape the OBZ market design. Finally, an analysis of different future alternative market connections is conducted to understand their implications and the trade-offs that must be made for designing the OBZ market. In the end, the following research question is answered: How can revenue losses from network congestion of wind farms be mitigated in an offshore bidding zone in the North Sea? Subject Offshore Bidding ZoneOffshore Wind FarmElectricity Market Design To reference this document use: http://resolver.tudelft.nl/uuid:aa03225b-18a5-4a4f-9c3d-8c85651ba964 Part of collection Student theses Document type master thesis Rights © 2024 Vincent Engelhard Files PDF Master_s_Thesis_Vincent_E ... elhard.pdf 3.12 MB Close viewer /islandora/object/uuid:aa03225b-18a5-4a4f-9c3d-8c85651ba964/datastream/OBJ/view