Heuristic Optimisation and Simulation as Decision Support for Operation and Maintenance of Offshore Wind Farms
Proceedings of the International Conference on Harbour, Maritime & Multimodal Logistic Modelling and Simulation, organized within the International Mediterranean and Latin American Modelling Multi-Conference - 2017
The rise of offshore wind energy production poses a
complex resource allocation problem with respect to
operation and maintenance (O&M) of offshore wind
farms: O&M tasks need be performed by teams of specialists,
subject to limited availability of qualifications,
means of transport and appropriate weather conditions.
Among others, NP-complete problems like shortest return
routing (“Travelling Salesman”) and job scheduling
are embedded into the challenge of determining O&M
schedules, which in real-world wind farm operation is
often still conducted by hand. In this work, we address
this problem by proposing a heuristic approach based
on a “compatibility rating”, attempting to anticipatorily
allocate tasks to teams such that the remaining tasks not
yet allocated can still be conducted efficiently, e.g. by a
different team. This means of decision support relies on
simulation to evaluate the feasibility of the schedules
generated.
Images and movies
BibTex references
@InProceedings{MJG17, author = "Mostajeran, Fariba and Joschko, Philip and Göbel, Johannes", title = "Heuristic Optimisation and Simulation as Decision Support for Operation and Maintenance of Offshore Wind Farms", booktitle = "Proceedings of the International Conference on Harbour, Maritime \& Multimodal Logistic Modelling and Simulation, organized within the International Mediterranean and Latin American Modelling Multi-Conference", year = "2017", url = "http://basilic.informatik.uni-hamburg.de/Publications/2017/MJG17" }