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Wind Farm Support Vessel Extreme Roll Assessment While Docking in the Bohai Sea

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Abstract

Robust prediction of extreme motions during wind farm support vessel (WFSV) operation is an important safety concern that requires further extensive research as offshore wind energy industry sector widens. In particular, it is important to study the safety of operation in random sea conditions during WFSV docking against the wind tower, while workers are able to get on the tower. Docking is performed by thrusting vessel fender against wind tower (an alternative docking way by hinging is not studied here). In this paper, the finite element software AQWA has been used to analyze vessel response due to hydrodynamic wave loads, acting on a specific maintenance ship under actual sea conditions. Excessive roll may occur during certain sea conditions, especially in the beam sea, posing a risk to the crew transfer operation. The Bohai Sea is the area of diverse industrial activities such as offshore oil production, wave and wind power generation, etc. This paper advocates a novel method for estimating extreme roll statistics, based on Monte Carlo simulations (or measurements). The ACER (averaged conditional exceedance rate) method and its modification are presented in brief detail in Appendix. The proposed methodology provides an accurate extreme value prediction, utilizing available data efficiently. In this study the estimated return level values, obtained by ACER method, are compared with the corresponding return level values obtained by Gumbel method. Based on the overall performance of the proposed method, it is concluded that the ACER method can provide more robust and accurate prediction of the extreme vessel roll. The described approach may be well used at the vessel design stage, while defining optimal boat parameters would minimize potential roll.

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References

  • Anastopoulos, P.A., Spyrou, K.J., Bassler, C.C. and Belenky, V., 2016. Towards an improved critical wave groups method for the probabilistic assessment of large ship motions in Irregular seas, Probabilistic Engineering Mechanics, 44, 18–27.

    Article  Google Scholar 

  • ANSYS, 2013a. AQWA Theory Manual, Release 15.0, ANSYS, Inc.

  • ANSYS, 2013b. AQWA Users Manual, Release 15.0, ANSYS, Inc.

  • Beck, R.F. and Reed, A.M., 2016. Advances in the predictive capability for ship dynamics in extreme waves, SNAME Maritime Convention, The Society of Naval Architects and Marine Engineers, Bellevue, Washington, USA, pp. 124.

    Google Scholar 

  • Belenky, V., Weems, K.M. and Lin, W.M., 2016. Split-time method for estimation of probability of capsizing caused by pure loss of stability, Ocean Engineering, 122, 333–343.

    Article  Google Scholar 

  • Bondarenko, O., 2015. The statistical analysis of principal particulars of wind farm support vessels, Second Design & Operation of offshore Wind Farm Support Vessels Conference, Royal Institution of Naval Architects, London.

    Google Scholar 

  • Campbell, B., Belenky, V. and Pipiras, V., 2016. Application of the envelope peaks over threshold (EPOT) method for probabilistic assessment of dynamic stability, Ocean Engineering, 120, 298–304.

    Article  Google Scholar 

  • Chai, W., Naess, A. and Leira, B.J., 2016. Stochastic nonlinear ship rolling in random beam seas by the path integration method, Probabilistic Engineering Mechanics, 44, 43–52.

    Article  Google Scholar 

  • DNV, 2010. Environmental Conditions and Environmental Loads, DNV-RP-C205, DNV, Høvik.

    Google Scholar 

  • DNV, 2011. Modelling and Analysis of Marine Operations, DNV-RP-H103, DNV, Oslo

    Google Scholar 

  • Gaidai, O., Storhaug G. and Naess, A., 2016. Extreme value statistics of large container ship roll, Journal of Ship Research, 60(2), 92–100.

    Article  Google Scholar 

  • Gaidai, O., Cheng, Y., Xu, X.S. and Su, Y.F., 2018. Long-term offshore Bohai bay Jacket strength assessment based on satellite wave data, Ships and Offshore Structures, 13(6), 657–665.

    Article  Google Scholar 

  • Gaidai, O., Xu, X.S., Naess, A., Cheng, Y., Ye R.C. and Wang, J.L., 2020a. Bivariate statistics of wind farm support vessel motions while docking, Ships and Offshore Structures.

  • Gaidai, O., Xu X.S., Wang J.L., Ye R.C., Cheng Y. and Karpa, O., 2020b. SEM-REV offshore energy site wind-wave bivariate statistics by hindcast, Renewable Energy, 156, 689–695.

    Article  Google Scholar 

  • Global Wave Statistics Online, 2020. http://www.globalwavestatisticsonline.com/.

  • Lv, X.C., Yuan, D.K., Ma, X.D. and Tao, J.H., 2014. Wave characteristics analysis in Bohai Sea based on ECMWF wind field, Ocean Engineering, 91, 159–171.

    Article  Google Scholar 

  • Maki, A., 2016. Estimation method of the capsizing probability in irregular beam seas using non-gaussian probability density function, Journal of Marine Science and Technology, 22(2), 351–360.

    Article  MathSciNet  Google Scholar 

  • Malara, G., Spanos, P.D. and Arena. F., 2014. Maximum roll angle estimation of a ship in confused sea waves via a quasi-deterministic approach, Probabilistic Engineering Mechanics, 35, 75–81.

    Article  Google Scholar 

  • McTaggart, K.A., 2000. Ship capsize risk in a seaway using fitted distributions to roll maxima, Journal of Offshore Me-chanics and Arctic Engineering, 122(2), 141–146.

    Article  Google Scholar 

  • Mohamad, M.A. and Sapsis T.P., 2018. Sequential sampling strategy for extreme event statistics in nonlinear dynamical systems, Proceedings of the National Academy of Sciences of the United States of America, 115(44), 11138–11143.

    Article  MathSciNet  Google Scholar 

  • Naess, A. and Gaidai, O., 2008. Monte Carlo methods for estimating the extreme response of dynamical systems, Journal of Engineering Mechanics, 134(8), 628–636.

    Article  Google Scholar 

  • Naess, A. and Gaidai, O., 2009. Estimation of extreme values from sampled time series, Structural Safety, 31(4), 325–334.

    Article  Google Scholar 

  • Naess, A., Stansberg, C.T., Gaidai, O. and Baarholm, R.J., 2009. Statistics of extreme events in airgap measurements, Journal of Offshore Mechanics and Arctic Engineering, 131(4), 733–742.

    Article  Google Scholar 

  • Naess, A., Gaidai, O. and Batsevych, A., 2010. Prediction of extreme response statistics of narrow-band random vibrations, Journal Engineering Mechanics, 136(3), 290–298.

    Article  Google Scholar 

  • Naess, A. and Moan, T., 2012. Stochastic Dynamics of Marine Structures, Cambridge University Press, Cambridge.

    Book  Google Scholar 

  • Phillips, S., Shin, I.B. and Armstrong, C., 2014. Performance Evaluation of Wind-Farm Support Vessels, Design and Op-eration of Wind Farm Support Vessels, London, UK.

    Google Scholar 

  • Phillips, S., Shin, I.B. and Armstrong, C., 2015. Crew Transfer Vessel Performance Evaluation, Design & Operation of Wind Farm Support Vessels, London, UK.

    Google Scholar 

  • Price, W.G. and Bishop, R.E.D., 1974. Probabilistic Theory of Ship Dynamics, Chapman and Hall, London.

    MATH  Google Scholar 

  • Sandvik, P.C., 2010. Docking Application and Significant Waves — Simulation of Dynamic Behaviour During Docking for Personnel Transfer, Kockum Workshop on Service Vessels for Personnel Transportation to Offshore Wind Turbines, Karlskrona, Sweden.

    Google Scholar 

  • Smith, T.C., Campbell, B.L., Zuzick, A.V., Belknap, W.F. and Reed, A.M., 2015. Approaches to validation of ship motion predictions tools and extrapolation procedures for large excursions of ship motions in irregular seas, computational stochastic mechanics, in: Proceedings of the 7th International Conference (CSM-7), Deodatis, G. and Spanos, P.D. (eds.)

  • Themelis, N. and Spyrou, K.J., 2007. Probabilistic assessment of ship stability, Transactions- Society of Naval Architects and Marine Engineers, 117, 181–206.

    Google Scholar 

  • Wang, Z.F., Wu, K.J., Zhou, L.M. and Wu, L.Y., 2012. Wave characteristics and extreme parameters in the Bohai Sea, China Ocean Engineering, 26(2), 341–350.

    Article  Google Scholar 

  • Wu, M.K., 2014. Numerical analysis of docking operation between service vessels and offshore wind turbines, Ocean Engineering, 91, 379–388.

    Article  Google Scholar 

  • Xu, X.S., Sahoo, P., Evans, J. and Tao, Y.W., 2019. Hydrodynamic performances of FPSO and shuttle tanker during side-by-side offloading operation, Ships and Offshore Structures, 14(S1), 292–299.

    Article  Google Scholar 

  • Zhang, J., Gaidai, O. and Gao, J.J., 2018. Bivariate extreme value statistics of offshore jacket support stresses in Bohai bay, Journal of Offshore Mechanics and Arctic Engineering, 140(4), 041305.

    Article  Google Scholar 

  • Zhang, P.Q., Dai, L.J. and Liu, Y.L., 2014. Modelling operation of service vessels in offshore wind farms using stochastic activity networks, Ship Technology Research, 61(1), 48–58.

    Article  Google Scholar 

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Authors and Affiliations

  1. Marine Equipment and Technology Institute, Jiangsu University of Science and Technology, Zhenjiang, 212100, China

    Xiao-sen Xu

  2. School of Naval Architeture and Ocean Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212100, China

    Oleg Gaidai, Ren-chuan Ye & Yong Cheng

  3. EPAM Systems, kyiv, Ukraine

    Oleh Karpa

  4. School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou, 450001, China

    Jun-lei Wang

Authors
  1. Xiao-sen Xu
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  2. Oleg Gaidai
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  3. Oleh Karpa
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  4. Jun-lei Wang
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  5. Ren-chuan Ye
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  6. Yong Cheng
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Corresponding author

Correspondence to Oleg Gaidai.

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Xu, Xs., Gaidai, O., Karpa, O. et al. Wind Farm Support Vessel Extreme Roll Assessment While Docking in the Bohai Sea. China Ocean Eng 35, 308–316 (2021). https://doi.org/10.1007/s13344-021-0028-x

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  • DOI: https://doi.org/10.1007/s13344-021-0028-x

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