Maximum Safe Parameters of Outbound Loaded Vessels for Wind Turbine Installation

Gucma, S.; Gralak, Rafał; Przywarty, Marcin; Ślączka, Wojciech

doi:10.3390/app12083868

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…Currently, there are less than 20 wind turbine installation vessels (WTIVs) globally that can support the installation of 10MW+ OWTs (Offshore Construction Associates 2022). In order to meet the surging demand for new advanced large OWT installations, more WTIV companies have announced plans for constructing and upgrading their vessels in the upcoming years (Gucma et al 2022). However, the market for vessels capable of installing large offshore wind components is quickly being outpaced by growing demand from the global development pipeline.…”

Section: Introductionmentioning

confidence: 99%

Wind Turbine Installation Vessel Mission Reliability Modelling Using Petri Nets

Yan,

Dunnett,

Jackson

2023

Proceeding of the 33rd European Safety and Reliability Conference

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Offshore wind power is one of the main technologies helping to meet the global low carbon challenge. However, the significant expansion of the offshore wind industry and the rapid increase in the size and weight of turbine components will certainly amplify the risk issues during installation and transport of large Offshore wind turbines (OWTs). Currently, there are less than 20 vessels globally that can support the installation of these large turbines. These vessels are multi-functional, comprising highly integrated specific-designed systems and components. If any of these components fail it could cause significant project delays or even lead to catastrophic damage to the vessel and turbine, posing a risk to human life. In this context, this paper aims to develop a mathematical model using Petri nets to assess the risk and reliability of the mission of a wind turbine installation vessel (WTIV). The mission of the WTIV is segmented into consecutive phases, each of which serves a specified task. Critical phases can be identified, and their failure probability can be obtained using the model developed. The Petri net model outlined in this paper is deemed useful in aiding decision-making regarding installation for future offshore wind farm projects.

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Section: Introductionmentioning

confidence: 99%

Wind Turbine Installation Vessel Mission Reliability Modelling Using Petri Nets

Yan,

Dunnett,

Jackson

2023

Proceeding of the 33rd European Safety and Reliability Conference

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Development of offshore wind energy in Poland

Kuzior

2024

Proceedings of the 2nd International Interdisciplinary Scientific Conference “Digitalization and Sustainability for Development

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The Impact of Offshore Wind Farm Construction on Maritime Traffic Complexity: An Empirical Analysis of the Yangtze River Estuary

Liu,

Yu,

Sui

et al. 2024

JMSE

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The rapid growth of offshore wind farms (OWFs) as renewable energy sources has heightened concerns about maritime traffic safety and management in high-density traffic zones. These areas, characterized by complex interactions among diverse ship types and spatial constraints, require advanced situational awareness to prevent collisions and ensure efficient operations. Traditional maritime traffic systems often lack the granularity to assess the multifaceted risks around OWFs. Existing research has explored local traffic patterns and collision risks but lacks comprehensive frameworks for evaluating traffic complexity at both micro and macro levels. This study proposes a new complexity assessment model tailored to OWF areas, integrating micro-level ship interactions and macro-level traffic flow conditions to capture a holistic view of traffic dynamics. Using extensive historical AIS data from the Yangtze River Estuary, the model evaluates the impact of the proposed OWF on existing traffic complexity. The results demonstrate that OWFs increase navigational complexity, particularly in route congestion, course adjustments, and encounter rates between ships. Different ship types and sizes were also found to experience varying levels of impact, with larger ships and tankers facing greater challenges. By providing a quantitative framework for assessing traffic complexity, this research advances the field’s ability to understand and manage the risks associated with OWFs. The findings offer actionable insights for maritime authorities and OWF operators, supporting more effective traffic management strategies that prioritize safety and operational efficiency in high-density maritime areas.

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Maximum Safe Parameters of Outbound Loaded Vessels for Wind Turbine Installation

Cited by 3 publications

References 5 publications

Wind Turbine Installation Vessel Mission Reliability Modelling Using Petri Nets

Wind Turbine Installation Vessel Mission Reliability Modelling Using Petri Nets

Development of offshore wind energy in Poland

The Impact of Offshore Wind Farm Construction on Maritime Traffic Complexity: An Empirical Analysis of the Yangtze River Estuary

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