Journal is indexed in following databases:



2022 Journal Impact Factor - 0.6
2022 CiteScore - 1.7



HomePage
 




 


 

ISSN 2083-6473
ISSN 2083-6481 (electronic version)
 

 

 

Editor-in-Chief

Associate Editor
Prof. Tomasz Neumann
 

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
www http://www.transnav.eu
e-mail transnav@umg.edu.pl
Integrated Maintenance Decision Making Platform for Offshore Wind Farm with Optimal Vessel Fleet Size Support System
1 AGH University of Science and Technology, Kraków, Poland
ABSTRACT: The paper presents a model to coordinate the predictive-preventive maintenance process of Offshore Wind Farm (OWF) with optimal Vessel Fleet (VF) size support system. The model is presented as a bi-level problem. On the first level, the model coordinates the predictive-preventive maintenance of the OWF and the distributed Power System minimizing the risk of Expected Energy not Supply (EENS). The risk is estimated with a sequential Markov Chain Monte Carlo (MCMC) simulation model. On the second level the model determining the optimal fleet size of vessels to support maintenance activities at OWF.
REFERENCES
Alcoba, A.G., Ortega, G., Hendrix, E.M.T., Weare, H., and Haugland, D. (2017). A model for optimal fleet composition of vessels for offshore wind farm maintenance. Procedia Computer Science, 108C, 1512-1521. - doi:10.1016/j.procs.2017.05.230
Aminia, M.H., Kargariane, A., and Karabasoglua, O. (2016). Arima-based decoupled time series forecasting of electric vehicle charging demand for stochastic power system operation. Electric Power Systems Research, 140, 378-390. - doi:10.1016/j.epsr.2016.06.003
Atwa, Y., El-Saadany, E., Salama, M., Seethapathy, R., Assam, M., and Conti, S. (2011). Adequacy evaluation of distribution system including wind/solar dg during different modes of operation. IEEE Transactions on Power Systems, 26(4), 1945-1952. - doi:10.1109/TPWRS.2011.2112783
Billinton, R. and Allan, R. (1996). Reliability evaluation of power systems. 2nd Edition, Plenum Press. New York. ISBN: 0-306-45259-6. - doi:10.1007/978-1-4899-1860-4
Billinton, R. and Huang, D. (2006). Peaking unit considerations in generating capacity adequacy assessment. Canadian Conference on Electrical and Computer Engineering, 2006. CCECE '06, Ottawa, May 2006. 386-389. ISBN: 1-4244-0038-4. - doi:10.1109/CCECE.2006.277661
Florian, M. and Sorensen, J.D. (2017). Risk-based planning of operation and maintenance for offshore wind farms, 14th deep sea offshore wind R&D conference, EERA Deep-Wind 2017, 18-20 January 2017, Trondheim, Norway. Energy Procedia, 137, 261-272. - doi:10.1016/j.egypro.2017.10.349
Halvorsen-Weare, E.E., Norstada, I., Stalhane, M., and Nonas, L.M. (2017). A metaheuristic solution method for optimizing vessel fleet size and mix for maintenance operations at offshore wind farms under uncertainty, 14th deep sea offshore wind R&D conference, EERA Deep-Wind 2017, 18-20 January 2017, Trondheim, Norway. Energy Procedia, 137, 531-538. - doi:10.1016/j.egypro.2017.10.382
Karki, R., Thapa, S., and Billinton, R. (2012). A simplified risk-based method for short-term wind power commitment. IEEE Transactions on Sustainable Energy, 3(3), 498-505. - doi:10.1109/TSTE.2012.2190999
Stalhane, M., amd Elin E. Halvorsen-Weareb, H.V., Hvattum, L.M., and Nonas, L.M. (2016). Vessel fleet optimization for maintenance operations at offshore wind farms under uncertainty, 13th deep sea offshore wind R&D conference, EERA Deep-Wind 2016. Energy Procedia, 94, 357-366. - doi:10.1016/j.egypro.2016.09.195
Yan, Y., Ding, Y., Guo, C., Wang, R., Cheng, L., and Sun, Y. (2016). Operating reliability analysis of peaking generating units considering start-up failures and degradation. 2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management. 168-171. ISBN: 978-1-4673-9941-8/16. - doi:10.1109/SMRLO.2016.37
Zhong, S., Pantelous, A.A., Beer, M., and Zhou, J. (2018). Constrained non-linear multi-objective optimization of preventive maintenance scheduling for offshore wind farms. Mechanical Systems and Signal Processing, 104, 347-369. - doi:10.1016/j.ymssp.2017.10.035
Zhong, S., Pantelous, A.A., Goh, M., and Zhou, J. (2019). A reliability-and-cost-based fuzzy approach to optimize preventive maintenance scheduling for offshore wind farms. Mechanical Systems and Signal Processing, 124, 643-663. - doi:10.1016/j.ymssp.2019.02.012
Citation note:
Szpytko J., Salgado Y.: Integrated Maintenance Decision Making Platform for Offshore Wind Farm with Optimal Vessel Fleet Size Support System. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 13, No. 4, doi:10.12716/1001.13.04.15, pp. 823-830, 2019

Other publications of authors:

A.A. Martínez-García, O.E. Torres-Breffe, M. Vilaragut-Llanes, O. Delgado-Fernandez, J. Szpytko, Y. Salgado

File downloaded 332 times








Important: TransNav.eu cookie usage
The TransNav.eu website uses certain cookies. A cookie is a text-only string of information that the TransNav.EU website transfers to the cookie file of the browser on your computer. Cookies allow the TransNav.eu website to perform properly and remember your browsing history. Cookies also help a website to arrange content to match your preferred interests more quickly. Cookies alone cannot be used to identify you.
Akceptuję pliki cookies z tej strony