Article (Scientific journals)
A discrete-event simulation approach to evaluate the effect of stochastic parameters on offshore wind farms assembly strategies
Tekle Muhabie, Y.; Rigo, Philippe; Cepeda, M. et al.
2018In Ocean Engineering, 149, p. 279-290
Peer Reviewed verified by ORBi
 

Files


Full Text
Article RIGO - Ocean Engg 2018.pdf
Publisher postprint (1.98 MB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Decision support systems; Logistics; Metocean; Offshore; Simulation; Stochastic processes; Artificial intelligence; Discrete event simulation; Electric utilities; Meteorology; Offshore wind turbines; Random processes; Stochastic models; Stochastic systems; Wind power; Wind turbines; Effective approaches; Environmental conditions; Installation procedures; Stochastic nature; Stochastic parameters; Offshore wind farms
Abstract :
[en] 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. © 2017 Elsevier Ltd
Disciplines :
Mechanical engineering
Author, co-author :
Tekle Muhabie, Y.;  University of Liège, Quartier Polytech 1, Allée de la découverte 9, Liège, Belgium
Rigo, Philippe  ;  Université de Liège - ULiège > Département ArGEnCo > Constructions hydrauliques et navales
Cepeda, M.;  Federal University of Rio de Janeiro, Ilha Fundão, Rio de Janeiro, Brazil
de Almeida D'Agosto, M.;  Federal University of Rio de Janeiro, Ilha Fundão, Rio de Janeiro, Brazil
Caprace, Jean-David ;  Université de Liège - ULiège > Département ArGEnCo > Constructions hydrauliques et navales
Language :
English
Title :
A discrete-event simulation approach to evaluate the effect of stochastic parameters on offshore wind farms assembly strategies
Publication date :
2018
Journal title :
Ocean Engineering
ISSN :
0029-8018
Publisher :
Elsevier Ltd
Volume :
149
Pages :
279-290
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 13 January 2018

Statistics


Number of views
174 (5 by ULiège)
Number of downloads
658 (4 by ULiège)

Scopus citations®
 
27
Scopus citations®
without self-citations
27
OpenCitations
 
21

Bibliography


Similar publications



Contact ORBi