Abstract
Construction and utilization of offshore wind farms will increase within the next years. So far the first German offshore wind farm was constructed and put into operation by "Alpha Ventus". Experiences illustrate that bad weather conditions are the main cause for delays in transport, handling and installation of offshore wind farms. This can lead to extensive project delays of several months. The main objective of current logistical research activities is the robust design of planning and control methods for offshore installations. In this study, the basic conditions and existing disturbances of supply chains for offshore installations are analyzed. Based on these results, a planning and control concept will be introduced. Additionally, a mathematical model using mixed integer linear programming (MILP) is developed. It calculates the optimal installation schedule for offshore wind farms by observing different weather conditions. The model can be used to reduce vessel operation times in dependence on seasonal or up-to-date weather forecasts.
| Original language | English |
|---|---|
| Title of host publication | Advances in Mathematical and Computational Methods - 12th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering, MACMESE'10 |
| Number of pages | 6 |
| Publisher | World Scientific and Engineering Academy and Society - WSEAS |
| Publication date | 2010 |
| Pages | 242-247 |
| ISBN (Print) | 978-960474243-1 |
| Publication status | Published - 2010 |
| Externally published | Yes |
| Event | 12th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering - MACMESE 10 - Centro de Investigacao sobre Espaco e Organizacoes (CIEO), Faro, Portugal Duration: 03.11.2010 → 05.11.2010 Conference number: 12 http://www.wseas.us/conferences/2010/faro/macmese/ |
Bibliographical note
Cited By :1Export Date: 23 May 2016
References: (2010) Interaktive Offshore-Windenergie Karte von Europa, , http://rave.iset.uni-kassel.de, Research at Alpha Ventus (RAVE), 21.08; Bishop, I., Stock, C., Using collaborative virtual environments to plan wind energy installations (2010) Renewable Energy, 35 (10), pp. 2348-2355; Gerdes, G., Tiedemann, A., Zeelenberg, S., (2010) Case Study: European Offshore Wind Farms, , http://www.offshore-power.net/, 18.08; (2009) Oceans of Opportunity - EWEA Offshore Report 2009, , European Wind Energy Asscociation, EWEA; Breton, S., Moe, G., Status, plans and technologies for offshore wind turbines in Europe and North America (2009) Renewable Energy, 34 (3), pp. 646-654; Hinnethal, J., Clauss, G., Robust Pareto-optimum routing of ships utilising deterministic and ensemble weather forecasts (2010) Ships and Offshore Structures, 5 (2); Luhmann, T., (2010) Steuerung von Offshore-Windparks - Das Integrierte Leitsystem für Alpha Ventus, , http://www.btc-ag.com, 17.08; Kall, P., Mayer, J., (2005) Stochastic Linear Programming, , Springer; Sen, S., Stochastic programming: Computatinal issues and challenges (2001) Encyclopedia of OR/MS, , S. Gass and C. Harris, editors, Kluwer Academic Publishers; Sahinidis, N.V., Grossmann, I.E., Reformulation of the multiperiod milp model for capacity expansion of chemical processes (1992) Operations Research, 40, pp. 127-144; Scholz-Reiter, B., Heger, J., Hildebrandt, T., Analysis and comparison of dispatching rule-based scheduling in dual resource constrained shop-floor scenarios (2010) Machine Learning and Systems Engineering, , accepted, to appear; Achterberg, T., (2006) Constraint Integer Programming, , TU Berlin, Thesis; Pan, J.C.-H., Chen, J.-S., Mixed binary integer programming formulations for the reentrant job shop scheduling problem (2005) Computers & Operations Research, 32 (5), pp. 1197-1212
Research areas and keywords
- Engineering
Fingerprint
Dive into the research topics of 'Planning and control of logistics for offshore wind farms'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver