Bayesian Network Model for Accessing Safety and Security of Offshore Wind Farms

Abstract

The offshore wind industry experience a rising importance for the worldwide energy production, which is accompanied by increasing amount of wind turbines and Offshore Wind Farms (OWFs). However, due to its harsh environment and its role for energy provision, OWFs are confronted with several threats that are impacting its safety and security. Consequently, decision making at design as well as run time plays an important role for providing safe and secure operation in OWFs. We propose in this work the application of a Bayesian Network (BN) for a high-level representation of the safety and security state of an OWF. The developed BN-model is based on the safety and security goals and related functions defined in Kopke et al. (2019). The derived model enables a user to analyze the overall importance of high impact functions, like compliance, environmental protection, supply reliability or accident prevention. Obtained results indicate that the proposed BN-model enables decision makers to explore cross-system interrelations, and thus, to define requirements for implementations on lower design levels.