A novel approach to calculate fuel consumption of offshore wind operation and maintenance vessels using AIS data

Start Page
137
End Page
150
Citation
10th International Conference on Dynamics in Logistics, LDIC 2026
Contribution to Conference
10th International Conference on Dynamics in Logistics, LDIC 2026  
Publisher DOI
10.1007/978-3-032-19343-8_9
Scopus ID
2-s2.0-105036563834
Publisher
Springer Nature Switzerland
ISBN of container
978-3-032-19343-8
978-3-032-19342-1
Offshore wind is considered environmentally friendly; however, the logistics side involves a large number of vessels for operation and maintenance, contributing to greenhouse gas emissions which should not be overlooked. This paper presents a methodology for estimating fuel consumption and emissions of offshore wind service vessels operating in offshore wind farms by using Automatic Identification System (AIS) data. The approach accounts for ship resistance components, propulsion power requirements, and emission factors for multiple fuel types. Validation against real operational data of an offshore supply vessel shows close correlation, with fuel consumption estimates deviating by approximately 12.5% from recorded measurements. The findings underscore the potential of an AIS-based analysis to optimize fuel consumption and reduce emissions of offshore wind supply vessels.
Subjects
AIS data
Fuel consumption
Offshore wind operation and maintenance
DDC Class
333.7: Natural Resources, Energy and Environment
388: Transportation