A Multi-Objective Optimization Model for Offshore Wind Farm Operations & Maintenance Fleet Selection

A Multi-Objective Optimization Model for Offshore Wind Farm Operations & Maintenance Fleet Selection

Bloothoofd, Jesse (TU Delft Mechanical, Maritime and Materials Engineering)

Negenborn, R.R. (graduation committee)
Jiang, X. (mentor)
Dighe, V. (graduation committee)
Duinkerken, M.B. (graduation committee)

Delft University of Technology

Mechanical Engineering | Multi-Machine Engineering

2023-03-29

Until recently, tenders in Europe were awarded to wind farm developers based on the highest auction prices or the lowest subsidized bids. The wind industry has suggested that non-price-related criteria should be considered for tenders, like plans to reduce greenhouse gas emissions. As a result of the sustainable tender criteria, greenhouse gas emissions are a relatively new KPI for offshore wind farm developers.

Studies have shown that the costs and wind farm availability are sensitive to the fleet composition and were commonly used as criteria in offshore wind fleet optimization models. Offshore wind greenhouse gas emissions were shown to be sensitive to the offshore wind fleet composition as well but thus far not used as criteria for fleet composition decision-making. This study aims to develop an offshore wind O&M multi-objective fleet optimization model that includes GHG emissions as the third criterion for the fleet composition. The model is rendered as a deterministic MIP problem. An epsilon constraint method-inspired approach is proposed to reformulate the multi-objective into a set of perturbed single-objective models, which can be solved using a commercial MIP solver.

Offshore Wind Energy
Optimization
Fleet composition
Operations and Maintenance
Multi-Objective
Emissions
Costs
Availability

http://resolver.tudelft.nl/uuid:58b82c9a-6ed8-497a-8ac9-b8b6dcce257b

Student theses

master thesis

© 2023 Jesse Bloothoofd