Planning and control of logistics for offshore wind farms

B. Scholz-Reiter; M. Lütjen; J. Heger; A. Schweizer

Planning and control of logistics for offshore wind farms

B. Scholz-Reiter
, M. Lütjen
, J. Heger
, A. Schweizer

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung

26 Zitate (Scopus)

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.

Originalsprache	Englisch
Titel	Advances in Mathematical and Computational Methods - 12th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering, MACMESE'10
Seitenumfang	6
Herausgeber (Verlag)	World Scientific and Engineering Academy and Society - WSEAS
Erscheinungsdatum	2010
Seiten	242-247
ISBN (Print)	978-960474243-1
Publikationsstatus	Erschienen - 2010
Extern publiziert	Ja
Veranstaltung	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 Dauer: 03.11.2010 → 05.11.2010 Konferenznummer: 12 http://www.wseas.us/conferences/2010/faro/macmese/

Bibliographische Notiz

Cited By :1

Export 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

Fachgebiete und Schlagwörter

Installation scheduling
Maritime logistics
Milp
Offshore wind farm
Supply chain
Ingenieurwissenschaften

Dieses zitieren

Scholz-Reiter, B., Lütjen, M., Heger, J., & Schweizer, A. (2010). Planning and control of logistics for offshore wind farms. in Advances in Mathematical and Computational Methods - 12th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering, MACMESE'10 (S. 242-247). (International Conference on Mathematical and Computational Methods in Science and Engineering - Proceedings). World Scientific and Engineering Academy and Society - WSEAS.

Scholz-Reiter, B. ; Lütjen, M. ; Heger, J. et al. / Planning and control of logistics for offshore wind farms. Advances in Mathematical and Computational Methods - 12th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering, MACMESE'10. World Scientific and Engineering Academy and Society - WSEAS, 2010. S. 242-247 (International Conference on Mathematical and Computational Methods in Science and Engineering - Proceedings).

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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.",

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note = "Cited By :1 Export 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 f{\"u}r 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; 12th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering - MACMESE 10, MACMESE 10 ; Conference date: 03-11-2010 Through 05-11-2010",

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booktitle = "Advances in Mathematical and Computational Methods - 12th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering, MACMESE'10",

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Scholz-Reiter, B, Lütjen, M, Heger, J & Schweizer, A 2010, Planning and control of logistics for offshore wind farms. in Advances in Mathematical and Computational Methods - 12th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering, MACMESE'10. International Conference on Mathematical and Computational Methods in Science and Engineering - Proceedings, World Scientific and Engineering Academy and Society - WSEAS, S. 242-247, 12th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering - MACMESE 10, Faro, Portugal, 03.11.10.

Planning and control of logistics for offshore wind farms. / Scholz-Reiter, B.; Lütjen, M.; Heger, J. et al.
Advances in Mathematical and Computational Methods - 12th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering, MACMESE'10. World Scientific and Engineering Academy and Society - WSEAS, 2010. S. 242-247 (International Conference on Mathematical and Computational Methods in Science and Engineering - Proceedings).

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung

TY - CHAP

T1 - Planning and control of logistics for offshore wind farms

AU - Scholz-Reiter, B.

AU - Lütjen, M.

AU - Heger, J.

AU - Schweizer, A.

N1 - Conference code: 12

PY - 2010

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N2 - 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.

AB - 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.

KW - Installation scheduling

KW - Maritime logistics

KW - Milp

KW - Offshore wind farm

KW - Supply chain

KW - Engineering

UR - https://www.scopus.com/pages/publications/79959897869

M3 - Article in conference proceedings

SN - 978-960474243-1

T3 - International Conference on Mathematical and Computational Methods in Science and Engineering - Proceedings

SP - 242

EP - 247

BT - Advances in Mathematical and Computational Methods - 12th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering, MACMESE'10

PB - World Scientific and Engineering Academy and Society - WSEAS

T2 - 12th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering - MACMESE 10

Y2 - 3 November 2010 through 5 November 2010

ER -

Scholz-Reiter B, Lütjen M, Heger J, Schweizer A. Planning and control of logistics for offshore wind farms. in Advances in Mathematical and Computational Methods - 12th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering, MACMESE'10. World Scientific and Engineering Academy and Society - WSEAS. 2010. S. 242-247. (International Conference on Mathematical and Computational Methods in Science and Engineering - Proceedings).

Planning and control of logistics for offshore wind farms

Abstract

Bibliographische Notiz

Fachgebiete und Schlagwörter

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