TY - CONF

T1 - Simulation-based scheduling for offshore wind farm installation using timed petri nets approach

AU - Peng, Shengrui

AU - Rippel, Daniel

AU - Lütjen, Michael

AU - Becker, Matthias

AU - Szczerbicka, Helena

N1 - Funding Information: The authors gratefully acknowledge the financial support by the DFG (German Research Foundation) for the Project "Offshore Plan", grant number LU 2049/1-1; SZ 51/33-1.

PY - 2020

Y1 - 2020

N2 - Despite the success in developments of wind energy technology, there remain challenges, for example, in offshore wind energy installation. Due to changeable and unstable offshore weather conditions, it is hard to effectively schedule the installation logistics. In this work, we propose a simulation-based scheduling strategy to help the operators and the project managers, to make the main decisions during the installation to increase efficiency, e.g. how many offshore wind turbines should be loaded onto the installation vessel. The offshore logistic concept is modeled using timed Petri nets (TPN) approach. The timed transitions in the TPN model are assigned with operation times estimated by means of discrete-time Markov chain (DTMC) approach, which uses historical weather data. Besides, operability is introduced in this work as an indicator to evaluate schedules of a certain time period.

AB - Despite the success in developments of wind energy technology, there remain challenges, for example, in offshore wind energy installation. Due to changeable and unstable offshore weather conditions, it is hard to effectively schedule the installation logistics. In this work, we propose a simulation-based scheduling strategy to help the operators and the project managers, to make the main decisions during the installation to increase efficiency, e.g. how many offshore wind turbines should be loaded onto the installation vessel. The offshore logistic concept is modeled using timed Petri nets (TPN) approach. The timed transitions in the TPN model are assigned with operation times estimated by means of discrete-time Markov chain (DTMC) approach, which uses historical weather data. Besides, operability is introduced in this work as an indicator to evaluate schedules of a certain time period.

KW - Data-driven scheduling

KW - Discrete-time Markov chain

KW - Offshore wind installation

KW - Timed Petri nets

UR - http://www.scopus.com/inward/record.url?scp=85099276547&partnerID=8YFLogxK

M3 - Paper

T2 - 2020 Summer Computer Simulation Conference, SCSC 2020, Held at the 2020 Summer Simulation Multi-Conference, SummerSim 2020

Y2 - 20 July 2020 through 22 July 2020

ER -