A milp for installation scheduling of offshore wind farms

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A milp for installation scheduling of offshore wind farms. / Scholz-Reiter, Bernd; Heger, Jens; Lütjen, Michael et al.

In: International Journal of Mathematical Models and Methods in Applied Sciences , Vol. 5, No. 2, 2011, p. 371-378.

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Bibtex

@article{b27c525f61b142c5adbd11f976dcd75f,
title = "A milp for installation scheduling of offshore wind farms",
abstract = "Construction and utilization of offshore wind farms is going to 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 up to 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.",
keywords = "Engineering, Installation scheduling, Maritime logistics, Mixed integer linear programming (milp), Offshore wind farm",
author = "Bernd Scholz-Reiter and Jens Heger and Michael L{\"u}tjen and Anne Schweizer",
year = "2011",
language = "English",
volume = "5",
pages = "371--378",
journal = "International Journal of Mathematical Models and Methods in Applied Sciences",
issn = "1998-0140",
publisher = "North Atlantic University Union",
number = "2",

}

RIS

TY - JOUR

T1 - A milp for installation scheduling of offshore wind farms

AU - Scholz-Reiter, Bernd

AU - Heger, Jens

AU - Lütjen, Michael

AU - Schweizer, Anne

PY - 2011

Y1 - 2011

N2 - Construction and utilization of offshore wind farms is going to 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 up to 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 is going to 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 up to 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 - Engineering

KW - Installation scheduling

KW - Maritime logistics

KW - Mixed integer linear programming (milp)

KW - Offshore wind farm

UR - http://www.scopus.com/inward/record.url?scp=78650780122&partnerID=8YFLogxK

M3 - Journal articles

AN - SCOPUS:78650780122

VL - 5

SP - 371

EP - 378

JO - International Journal of Mathematical Models and Methods in Applied Sciences

JF - International Journal of Mathematical Models and Methods in Applied Sciences

SN - 1998-0140

IS - 2

ER -

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