Risk Reduction and Reliability-Based Maintenance across Offshore Wind Towers

Authors

  • Esi Sarpong Department of Materials Science & Engineering, School of Engineering Sciences, University of Ghana, Accra, Ghana Author
  • Kwabena A. Agyapong Department of Materials Science & Engineering, School of Engineering Sciences, University of Ghana, Accra, Ghana Author

Keywords:

Reliability-Based Maintenance, Risk Reduction, Lifecycle Assessment, Offshore Wind Towers, Structural Reliability

Abstract

The rapid expansion of renewable energy infrastructure has placed unprecedented demands on the operational efficiency and longevity of offshore wind farms. Among the most critical challenges is the effective management of offshore wind towers, which are subjected to harsh marine environments characterized by high salinity, extreme aerodynamic loads, and complex hydrodynamic interactions. This paper investigates the explicit linkage between Reliability Based Maintenance strategies and comprehensive risk reduction outcomes through the lens of Lifecycle Assessment. By evaluating the environmental, economic, and structural implications of proactive maintenance regimes, the research provides empirical evidence that moving away from reactive or purely scheduled maintenance significantly mitigates both catastrophic failure risks and cumulative environmental burdens. The methodology encompasses a detailed boundary condition definition, inventory analysis, and probabilistic failure modeling applied to a reference offshore wind tower over a thirty-year operational lifespan. Results indicate that integrating continuous condition monitoring with reliability algorithms reduces catastrophic structural failures and optimizes logistical deployments, thereby decreasing marine vessel emissions and material waste. The findings offer strategic pathways for wind farm operators and policymakers to harmonize economic viability with ecological sustainability, proving that advanced maintenance paradigms are indispensable for the next generation of offshore wind energy systems.

References

1. Lin, S.; Yin, S.; Shi, J.; Yang, G.; Wen, X.; Zhang, W.; Zhou, M.; Jiang, X. Orchestration of Energy Metabolism and Osteogenesis by Mg2+ Facilitates Low-Dose BMP-2-Driven Regeneration. Bioact. Mater. 2022, 18, 116–127.

2. de Damborenea, J.; Conde, A.; Bernal, P.; Ortuño, F.; Pinto da Silva, C.; Arenas, M.A. Surface erosion damage in mounting structures of large-scale photovoltaic systems. Sol. Energy Mater. Sol. Cells 2026, 298, 114121.

3. Mota Silva, E.; Martinez, D.C.; Basta, G.; Babboni, S.; Del Turco, S.; Fragnito, D.; Salvadori, S.; Kusmic, C.; Riehakainen, L.; Panetta, D.; et al. Monitoring Osseointegration and Degradation of Mg-Alloy Implants through Plasma Biomarkers of Inflammation and Bone Regeneration. J. Tissue Eng. 2025, 16, 20417314241290595.

4. Faghfouri, S.; Strauss, A. Utilizing IoT, ML and AI to extend the service life of RC structures and develop maintenance strategy. In Proceedings of the 15th fib International PhD Symposium in Civil Engineering, Budapest, Hungary, 28–30 August 2024; FIB (The International Federation for Structural Concrete): Lausanne, Switzerland, 2024; pp. 541–548.

5. Diamantidis, D. Probabilistic Assessment of Existing Structures; JCSS Report No. 32; Joint Committee on Structural Safety: 14-20 Bd Newton, 77420 Champs-sur-Marne, Frankreich; RILEM Publications: Champs-sur-Marne, France, 2001; Available online: https://www.rilem.net/publication/publication/96 (accessed on 25 March 2026).

6. Huang, X.; Zhou, Y.; Li, W.; Hu, B.; Zhang, J. Reliability-based design of FRP shear strengthened reinforced concrete beams: Guidelines assessment and calibration. Compos. Struct. 2023, 323, 117421.

7. Ang, A.H.-S.; Tang, W.H. Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering; Wiley: New York, NY, USA, 2007.

8. Li, D., & Brennan, R. L. (2007). A multi-group generalizability analysis of a large-scale reading comprehension test. Technical report. Center for advanced studies in measurement and assessment. University of Iowa. Available online: https://education.uiowa.edu/sites/education.uiowa.edu/files/2022-10/casma-research-report-25.pdf (accessed on 2 March 2026).

9. Vořechovský, M.; Novák, D. Stochastic Fracture Mechanics and Size Effect: A Dissertation Submitted in Partial Fulfilment of Doctor of Philosophy in Theory of Structures; Brno University of Technology, Faculty of Civil Engineering, Institute of Structural Mechanics: Brno, Czechia, 2004.

10. Bellini, C.; Carlino, F.; Natali, S. Analysis of the Al and Ti additions influences on phases generation and damage in a hot dip galvanizing process. Procedia Struct. Integr. 2019, 18, 688–693.

11. Joint Committee on Structural Safety (JCSS). Probabilistic Model Code. Available online: https://www.jcss-lc.org (accessed on 25 March 2026).

12. Papaioannou, I.; Breitung, K.; Štraub, D. Reliability sensitivity analysis with Monte Carlo methods. In Proceedings of the 11th International Conference on Structural Safety and Reliability (ICOSSAR 2013), New York, NY, USA, 16–20 June 2013; CRC Press: Boca Raton, FL, USA, 2013.

13. Wang, Y.; Shi, Y.; Yang, T.Y. Structural Performance Warning Based on Computer Intelligent Monitoring and Fractional-Order Multi-Rate Kalman Fusion Method. Fractal Fract. 2026, 10, 186.

14. Immekus, J. C., Finch, W. H., & French, B. F. (2023). Recovery accuracy of measurement model and structural coefficients of extended bifactor-(S-1) and (S∙I-1) models. Structural Equation Modeling, 30(4), 633–644.

15. Naujokat, H.; Ruff, C.B.; Klüter, T.; Seitz, J.-M.; Açil, Y.; Wiltfang, J. Influence of Surface Modifications on the Degradation of Standard-Sized Magnesium Plates and Healing of Mandibular Osteotomies in Miniature Pigs. Int. J. Oral Maxillofac. Surg. 2020, 49, 272–283.

16. Leinicke, J.A.; Elmore, L.; Freeman, B.D.; Colditz, G.A. Operative Management of Rib Fractures in the Setting of Flail Chest: A Systematic Review and Meta-Analysis. Ann. Surg. 2013, 258, 914–921.

17. Ding, W. Opportunities and Challenges for the Biodegradable Magnesium Alloys as Next-Generation Biomaterials. Regen. Biomater. 2016, 3, 79–86.

Downloads

Published

2026-01-23

Issue

Section

Articles