The decommissioning of offshore wind farms (OWFs) presents a significant challenge due to the environmental impact associated with the process, particularly in terms of greenhouse gas (GHG) emissions. This research aims to develop a model for quantifying and analysing the GHG emi
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The decommissioning of offshore wind farms (OWFs) presents a significant challenge due to the environmental impact associated with the process, particularly in terms of greenhouse gas (GHG) emissions. This research aims to develop a model for quantifying and analysing the GHG emissions associated with large-scale OWF decommissioning. It examines key variables, including vessel types, decommissioning activities, transport strategies, and weather conditions, to assess their impact on total emissions.
Using a GHG inventory-based approach, the research applies both deterministic and probabilistic methods to assess emissions across various decommissioning scenarios. The model integrates operational logistics with emission factors, providing a flexible framework that adapts to different OWF projects. The research specifically examines the decommissioning of OWF Lincs Limited.
The results of this study highlight the potential for emissions reduction through optimised vessel strategies, transport methods, and campaign scheduling. While operational activities dominate emissions, the research underscores the importance of addressing external factors, such as weather and campaign timing, to minimise environmental impact. The developed model offers valuable insights to stakeholders aiming to implement effective GHG emission reduction strategies in future OWF decommissioning projects.