Version 1
: Received: 17 January 2017 / Approved: 17 January 2017 / Online: 17 January 2017 (11:17:32 CET)
How to cite:
Du, M.; Yi, J.; Mazidi, P.; Cheng, L.; Guo, J. An Approach for Evaluating the Influence of Accessibility on Offshore Wind Power Generation. Preprints2017, 2017010079. https://doi.org/10.20944/preprints201701.0079.v1
Du, M.; Yi, J.; Mazidi, P.; Cheng, L.; Guo, J. An Approach for Evaluating the Influence of Accessibility on Offshore Wind Power Generation. Preprints 2017, 2017010079. https://doi.org/10.20944/preprints201701.0079.v1
Du, M.; Yi, J.; Mazidi, P.; Cheng, L.; Guo, J. An Approach for Evaluating the Influence of Accessibility on Offshore Wind Power Generation. Preprints2017, 2017010079. https://doi.org/10.20944/preprints201701.0079.v1
APA Style
Du, M., Yi, J., Mazidi, P., Cheng, L., & Guo, J. (2017). An Approach for Evaluating the Influence of Accessibility on Offshore Wind Power Generation. Preprints. https://doi.org/10.20944/preprints201701.0079.v1
Chicago/Turabian Style
Du, M., Lin Cheng and Jianbo Guo. 2017 "An Approach for Evaluating the Influence of Accessibility on Offshore Wind Power Generation" Preprints. https://doi.org/10.20944/preprints201701.0079.v1
Abstract
For offshore wind power generation, accessibility is one of the main factors that has great impact on operation and maintenance due to constraints on weather conditions for marine transportation. This paper presents a framework to explore the accessibility of an offshore site. At first, several maintenance types are defined and taken into account. Next, a data visualization procedure is introduced to provide an insight into the distribution of access periods over time. Then, a rigorous mathematical method based on finite state Markov chain is proposed to assess the accessibility of an offshore site from the maintenance perspective. A five-year weather data of a marine site is used to demonstrate the applicability and the outcomes of the proposed method. The main findings show that the proposed framework is effective in investigating the accessibility for different time scales and is able to catch the patterns of the distribution of the access periods. Moreover, based on the developed Markov chain, the average waiting time for a certain access period can be estimated. With more information on the maintenance of an offshore wind farm, the expected production loss due to time delay can be calculated.
Keywords
accessibility; offshore; operation and maintenance; weather condition; Markov chain; data visualization
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
