Session: 02-08-01 Risk and Reliability of Renewable Energy Devices 1

Paper Number: 123609

123609 - Application of Hierarchical Analyst Domino Evaluation System(hades) in Floating Offshore Wind Farm(fowf) Operation Stage 

In light of the escalating greenhouse effect and the increasing frequency of extreme weather events, the global spotlight has shifted towards the development of green energy solutions. Notably, Floating Offshore Wind Turbines (FOWTs) have gained prominence as a high-tech innovation in harnessing wind resources in deep-sea field. Researchers and energy companies worldwide have invested their efforts in advancing the technology behind FOWTs, particularly in the realms of structural mechanics, aerodynamics, and fluid-solid coupling analysis. However, an expanded perspective that encompasses entire wind farms necessitates a more comprehensive approach to risk assessment and safety management. This is especially crucial during the operational and maintenance phase, where the potential for domino accidents caused by such as typhoons and storm surges within a wind farm becomes a matter of concern.

This paper introduces the application of the Hierarchical Analyst Domino Evaluation System (HADES), originally designed for offshore oil and gas facilities decommissioning, to assess the domino risk of the Floating Offshore Wind Farm (FOWF) situated near the Wanning sea area, Hainan, China. The assessment includes scenarios involving navigating vessels collisions, typhoons, storm surges, and large waves, which can lead to accidents such as capsizing, deviation, and structural damage. HADES offers a Quantitative Risk Assessment (QRA) framework that hierarchically models the development of domino accidents, providing a clear visualization of the accident progression. Unlike other domino risk assessment methods, HADES incorporates Frequentist Approach to reconstruct the trigger mechanisms and propagation logic of these accidents. HADES simplifies calculations and reduces the reliance on extensive historical data. Through the analysis of accident scenarios, probabilities, and consequences, this study aims to address the concerns of FOWF operators regarding the layout, operation, and monitoring of FOWTs. The results of this study serve as fundamental QRA results for the operational and maintenance phase of floating wind farms, enhancing our understanding and preparedness for potential accidents in this dynamic and critical sector.

Presenting Author: Yihong Li Shenzhen International Graduate School, Tsinghua University

Presenting Author Biography: Graduated from Newcastle University in the United Kingdom, I am currently employed at theTsinghua Shenzhen International Graduate School, where I engage in postdoctoral research. My interest areas aer include decommissioning of jacket platforms, quantitative risk assessment for offshore engineering, domino risk assessment, and applications of digital twins. To date, I have published five peer-reviewed sci-papers and serve as reviewer for two leading journals, namely Ocean Engineering (OE) and Journal of Ocean Engineering and Science (JOES).

Authors:

Yihong Li Shenzhen International Graduate School, Tsinghua University
Zhenzhong Hu Shenzhen International Graduate School, Tsinghua University
Binbin Li Shenzhen International Graduate School, Tsinghua University