EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 636 (2025) E3S Web Conf., 636 (2025) 04005 References
Open Access
Issue
E3S Web Conf.
Volume 636, 2025
2025 10th International Conference on Sustainable and Renewable Energy Engineering (ICSREE 2025)
Article Number 04005
Number of page(s) 9
Section Hybrid Energy Systems and Smart Grid Technologies
DOI https://doi.org/10.1051/e3sconf/202563604005
Published online 30 June 2025
  1. G. Levitin, T. Zhang and M. Xie, “State probability of a series-parallel repairable system with two-types of failure states,” Int. J. Syst. Sci., vol. 37, pp. 1011–2102 (2006) [CrossRef] [Google Scholar]
  2. B. K. Sovacool, R. Andersen, S. Sorensen, K. Sorensen, V. Tienda, A. Vainorius, O. M. Schirach and F. Bjorn-Thygesen, “Balancing safety with sustainability: assessing the risk of accidents for modern low-carbon energy systems,” J. Clean. Prod., vol. 112, no. 5, pp. 3952–3965 (2016) [CrossRef] [Google Scholar]
  3. J. R. Ribas, J. C. R. Severo, L. F. Guimaràes and K. P. C. Perpetuo, “A fuzzy FMEA assessment of hydroelectric earth dam failure modes: A case study in Central Brazil,” Energy Rep., vol. 7, pp. 4412–4424 (2021) [CrossRef] [Google Scholar]
  4. R. Nasser and Y. Liu, “Hybrid Renewable Energy Systems: Challenges and Research Opportunities,” in Advances in Reliability, Safety and Security: ESREL 2024 Contributions Part 7: Security, Vulnerability and Resilience of Systems & Disaster Preparedness, Mitigation and Response, Krakow (2024) [Google Scholar]
  5. J. Zhang, H. Li, D. Chen, B. Xu and M. A. Mahmud, “Flexibility assessment of a hybrid power system: Hydroelectric units in balancing the injection of wind power,” RES., vol. 171, pp. 1313–1326 (2021) [Google Scholar]
  6. E. Ercan and E. Kentel, “Optimum daily operation of a wind-hydro hybrid system,” J. Energy Storage, vol. 50, p. 104540 (2022) [CrossRef] [Google Scholar]
  7. X. Tang, A. Chen and J. He, “A modelling approach based on Bayesian networks for dam risk analysis: Integration of machine learning algorithm and domain knowledge,” Int. J. Disaster Risk Reduct., vol. 71, p. 102818 (2022) [Google Scholar]
  8. A. G. Olabi, T. Wilberforce, K. Elsaid, E. T. Sayed, T. Salameh, M. A. Abdelkareem and A. Baroutaji, “A Review on Failure Modes of Wind Turbine Components,” J. Energy., vol. 14, 17, p. 5241 (2021) [Google Scholar]
  9. P. Kaewniam, M. Cao, N. F. Alkayem, D. Li and E. Manoach, “Recent advances in damage detection of wind turbine blades: A state-of-the-art review,” Renew. Sustain. Energy Rev., vol. 167, p. 112723 (2022) [CrossRef] [Google Scholar]
  10. N. M. Rana, N. Ghahramani, S. G. Evans, A. Small, N. Skermer, S. McDougall and W. A. Take, “Global magnitude-frequency statistics of the failures and impacts of large water-retention dams and mine tailings impoundments,” Earth-Sci. Rev., p. 104144 (2022) [CrossRef] [Google Scholar]
  11. ICOLD, “Bulletin 99 update Statistical analysis of dam failures,” International Commission on Large Dams (ICOLD) (2019) [Google Scholar]
  12. T. Chalermpornchai, B. Kunsuwan and W. Mairaing, “Simulation of rock crack and permeability in dam foundation during hydraulic fracturing,” Int. J. GEOMATE., vol. 21, no. 86, pp. 2186–2990 (2021) [CrossRef] [Google Scholar]
  13. P.-F. Guo, T.-S. Hou and Y.-C. Wang, “Analysis of Settlement Deformation of Embankment Dam in Longyang Reservoir,” INT J GEOSYNTH GROUN., vol. 10, 56, (2024) [Google Scholar]
  14. D. Chen, B. Huang and F. Kang, “A Review of Detection Technologies for Underwater Cracks on Concrete Dam Surfaces,” Appl. Sci., vol. 13, 6, p. 3564 (2023) [CrossRef] [Google Scholar]
  15. Y. Xiang, Z. Fu, C. Liu, K. Zhang, Y. Wang and G. Shen, “Dam Safety On-site Inspection and Test,” in Hydroscience and Engineering, Singapore, Springer, pp. 23101 (2024) [Google Scholar]
  16. J. Li, X. Lu, P. Zhang and Q. Li, “Weak feature crack detection in high-resolution concrete dam surface image with LarkMNet,” Meas., vol. 238, p. 115327 (2024) [CrossRef] [Google Scholar]
  17. N. Adamo, N. Al-Ansari, V. Sissakian, J. Laue and S. Knutsson, “Dam Safety: Use of Instrumentation in Dams,” J. Earth Sci. Geotech. Eng., vol. 11, no. 1, pp. 145–202 (2020) [Google Scholar]
  18. D. A. Kelly, M. Garden, K. Sharif, D. Campbell and M. Gormley, “A Novel Approach to Detecting Blockages in Sewers and Drains: The Reflected Wave Technique,” Buildings., vol. 14, 10, p. 3138 (2024) [CrossRef] [Google Scholar]
  19. A. Taras, M. Soares, M. Rodriguez and M. Argouges, “Acoustic guided wave method to evaluate blocage in drains of dams - SMART 2023,” in X ECCOMAS Thematic Conference on Smart Structures and Materials, (2023) [Google Scholar]
  20. D. Roulo and S. Pichuka, “Assessing the effects of extreme rainfall patterns and their impact on dam safety: a case study on Indian dam failures,” Nat. Hazards., vol. 120, p. 12967–12987 (2024) [CrossRef] [Google Scholar]
  21. O. F. Al-Hardanee and H. Demirel, “Hydropower Station Status Prediction Using RNN and LSTM Algorithms for Fault Detection,” Energies., vol. 17, 22, p. 5599, (2024) [CrossRef] [Google Scholar]
  22. G. Todorov, I. Kralov, K. Kamberov, E. Zahariev, Y. Safronov and B. Zlatev, “An Assessment of the Embedding of Francis Turbines for Pumped Hydraulic Energy Storage,” Water., vol. 16, 16, p. 2252 (2024) [CrossRef] [Google Scholar]
  23. S. Nitonye, S. Adumene, B. M. Sigalo, C. U. Orji and A. K. Le-ol, “Dynamic failure analysis of renewable energy systems in the remote offshore environments,” Qual. Reliab. Eng. Int., vol. 37, no. 4, pp. 1436–1450 (2021) [CrossRef] [Google Scholar]
  24. M. Hosseinzadeh and F. R. Salmasi, “Analysis and detection of a wind system failure in a micro-grid,” J. Renew. Sustain. Energy., vol. 8, 4, p. 043302 (2016) [CrossRef] [Google Scholar]
  25. S. Cioni, F. Papi, E. Cocchi and A. Bianchini, “UNICO: an open-source controller optimized for stall-regulated wind turbines,” J. Phys. Conf. Ser., vol. 2767 (2024) [Google Scholar]
  26. P. B. Garcia-Rosa and J. O. G. Tande, “Mitigation measures for preventing collision of birds with wind turbines,” J. Phys. Conf. Ser., p. 012072, (2023) [CrossRef] [Google Scholar]
  27. R. G. Thady, L. C. Emerson and J. P. Swaddle, “Evaluating acoustic signals to reduce avian collision risk,” Zool. Sci., p. 13313, (2022) [Google Scholar]
  28. C. Bernuzzi, P. Crespi, R. Montuori, E. Nastri, M. Simoncelli, F. Stochino and M. Zucca, “Resonance of steel wind turbines: Problems and solutions,” Struct., vol. 32, pp. 65–75 (2021) [CrossRef] [Google Scholar]
  29. H.-H. Chang and W.-J. Lee, “Fault Type and Location Identifications of the Hybrid Utility Power and Renewable-Energy-Based Multi-Generation Systems using Nonintrusive Monitoring Techniques,” in 2024 IEEE/IAS 60th Industrial and Commercial Power Systems Technical Conference (I & CPS), Las Vegas, (2024) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.