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Abstract
An optimisation model is proposed for scheduling the decommissioning
of an offshore wind farm in order to minimise the total cost which is comprised
of jack-up vessel, barge (transfer) vessel, inventory, processing and on-land transportation costs. This paper also presents a comprehensive review of the strategic issues relating to the decommissioning process and of scheduling models that have been applied to offshore wind farms. A mathematical model using integer linear programming (ILP) is developed to determine the optimal schedule considering several constraints such as the availability of vessels and planning delays. As the decommissioning problem is challenging to solve, a matheuristic approach based on the hybridization of a heuristic approach and an exact method is also proposed to find near optimal solutions for a test-set of problems. A set of computational experiments has been carried out to assess the proposed approach.
of an offshore wind farm in order to minimise the total cost which is comprised
of jack-up vessel, barge (transfer) vessel, inventory, processing and on-land transportation costs. This paper also presents a comprehensive review of the strategic issues relating to the decommissioning process and of scheduling models that have been applied to offshore wind farms. A mathematical model using integer linear programming (ILP) is developed to determine the optimal schedule considering several constraints such as the availability of vessels and planning delays. As the decommissioning problem is challenging to solve, a matheuristic approach based on the hybridization of a heuristic approach and an exact method is also proposed to find near optimal solutions for a test-set of problems. A set of computational experiments has been carried out to assess the proposed approach.
Original language | English |
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Article number | 0 |
Pages (from-to) | 513-548 |
Number of pages | 36 |
Journal | OR Spectrum |
Volume | 41 |
Issue number | 2 |
Early online date | 8 Feb 2019 |
DOIs | |
Publication status | Published - 1 Jun 2019 |
Keywords
- Scheduling
- offshore wind farm
- Renewable Energy
- matheuristic