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Strategic optimization of offshore wind farm installation

Backe, Stian; Haugland, Dag
Journal article, Peer reviewed
Accepted version
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URI
http://hdl.handle.net/11250/2492118
Date
2017
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  • Institutt for industriell økonomi og teknologiledelse [1939]
  • Publikasjoner fra CRIStin - NTNU [21000]
Original version
Lecture Notes in Computer Science. 2017, 10572 LNCS 285-299.   10.1007/978-3-319-68496-3_19
Abstract
This work describes logistical planning of offshore wind farm (OWF) installation through linear programming. A mixed integer linear programming (MILP) model is developed to analyze cost-effective port and vessel strategies for offshore installation operations. The model seeks to minimize total costs through strategic decisions, that is decisions on port and vessel fleet and mix. Different vessels, ports and weather restrictions over a fixed time horizon are considered in the model. Several deterministic test cases with historic weather data are implemented in AMPL, and run with the CPLEX solver. The results provide valuable insight into economic impact of strategic decisions. Numerical experiments on instances indicate that decision aid could be more reliable if large OWFs are considered in fractionated parts, alternatively by developing heuristics.
Publisher
Springer Verlag
Journal
Lecture Notes in Computer Science

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