A discrete-event simulation approach to evaluate the effect of stochastic parameters on offshore wind farms assembly strategies. (1st February 2018)

• Record Type: Journal Article
• Authors: Tekle Muhabie, Y.; Rigo, P.; Cepeda, M.; de Almeida D'Agosto, M.; Caprace, J.-D.
• Is Part Of: Ocean engineering. Volume 149(2018)
• Page Start: 279
• Page End: 290
• Publication Date: 2018-02-01
• Subjects: Offshore -- Logistics -- Simulation -- Stochastic processes -- Decision support systems -- Metocean; Ocean engineering -- Periodicals; Ocean engineering; Periodicals; 620.4162
• DOI: 10.1016/j.oceaneng.2017.12.018
• Languages: English
• ISSNs: 0029-8018

Abstract

Abstract: The wind industry is facing new challenges due to the planned construction of thousands of offshore wind turbines all around the world. However, with their increasing distance from the shore, greater water depths, and increasing sizes of the plants, the industry has to face the challenge to develop sustainable installation procedures. Important limiting factors for offshore wind farm installation are the weather conditions and installation strategies. In this context, the focus of this research is the investigation of the most effective approach to installing offshore wind farms at sea, including the effects of weather conditions. This target is achieved through the implementation of a discrete-event simulation approach which includes the analysis of the environmental conditions, distance matrix, vessel characteristics, and assembly scenarios. The model maps the logistics chain in the offshore wind industry. A deterministic and a probabilistic metocean data method have been compared and cross validated. The results point to a good agreement between the two considered models, while highlighting the huge risks to the time and cost of the installation due to the stochastic nature of the weather. We suggest that simulations may improve and reduce these risks in the planning process of offshore wind farms. Graphical abstract: Image 1 Highlights: DES improves the decision support system of offshore wind farm installation. Deterministic and probabilistic operability approaches have been compared. Efficiency of assembly strategies have been compared. The starting date of the offshore project is the most sensitive variable. Rotor star assembly strategy is slightly better than other options.