This present contribution examines by means of a discrete event and agent-based simulation the potential of a joint use of resources in the installation phase of offshore wind energy. To this end, wind farm projects to be installed simultaneously are being examined, the impact of weather restrictions on the processes of loading, transport and installation are also taken into consideration, and both the wind farm specific resource allocation and the approach of a resource pool or resource sharing, respectively, are being implemented. This study is motivated by the large number of wind farms that will be installed in the future and by the potential savings that might be realized through resource sharing. While, so far, the main driver of the resource sharing approach has been the end consumer market, it has been applied in more and more areas, even in relatively conservative industries such as logistics. After the presentation of the backgrounds and of the underlying methodology, and the description of the prior art in this context, the network of the offshore wind energy installation phase will be described. This is the basis for the subsequent determination of the savings potential of a shared resource utilization, which is determined by the performance indicators such as the total installation time and degree of utilization of the resources. The results of the simulation show that weather restrictions have a significant effect on the installation times and the usage times of the resources as well as on their degree of utilization. In addition, the resource sharing approach, has been identified to have significant savings potential for the offshore wind energy installation.

Abstract
1. Introduction
    1.1 Offshore wind energy and its logistics
    1.2 Resource sharing and its framework conditions inoffshore wind energy installation logistics
    1.3 Research approach
2. Literature review
    2.1 Planning of offshore wind energy installationlogistics
    2.2 Resource sharing in the project business
3. Installation logistics network
4. Simulation study
    4.1 Structure of the simulation
    4.2 Simulation scenarios
    4.2 Simulation specification
    4.3 Simulation results
5. Conclusion and outlook
References

• Thies BEINKE(BIBA-Bremer Institut für Produktion und Logistik GmbH at the University of Bremen) Corresponding Author
• Abderrahim AIT ALLA(BIBA - Bremer Institut für Produktion und Logistik GmbH at the University of Bremen)
• Michael FREITAG(Bremer Institut für Produktion und Logistik GmbH at the University of Bremen and Faculty of Production Engineering, University of Bremen)