Long-Term Analysis of the Black Sea Weather Windows

Onea, Florin; Rusu, Liliana

doi:10.3390/jmse7090303

Cited by 12 publications

(4 citation statements)

References 31 publications

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“…Other constraints of the ERA5 datasets in the coastal areas of the North Sea are further highlighted in Kalverla et al [35]. It is necessary to mention that most reanalysis datasets are provided at a standard height of 10 m [36], which is proper for evaluating the wind conditions from a meteorological point of view. A significant part of the previous studies evaluated the wind conditions in the Black Sea coastal zone at a height of 80 m (U80), where older-generation wind turbines used to operate [17].…”

Section: Discussionmentioning

confidence: 99%

Assessment of the Wind Energy Potential along the Romanian Coastal Zone

Girleanu¹,

Onea²,

Rusu³

2021

Inventions

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The present work aims to provide a comprehensive picture of the wind energy potential that characterizes the Romanian coastal environment using in situ measurements and reanalysis of wind data (ERA5) that cover a 42–year time interval (1979–2020). A total of 16 reference points (both land and offshore) equally distributed along the Romanian sector are used to evaluate the local wind energy potential, targeting in this way several sites where a renewable wind project could be established. Compared to the in situ measurements (land points), the ERA5 dataset underestimates the wind speed by at least 11.57%, this value increasing as we approach the coastline. From the analysis of the spatial maps, it is likely that the wind speed steadily increases from onshore to offshore, with a sharp variation near the coastline being reported. Furthermore, the assessment of some state-of-the-art offshore wind turbines was conducted using 12 systems defined by rated capacity ranging from 2 to 10 MW. Some scenarios were proposed to identify sustainable offshore wind projects to be implemented in the Romanian coastal zone based on these results.

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Section: Discussionmentioning

confidence: 99%

Assessment of the Wind Energy Potential along the Romanian Coastal Zone

Girleanu¹,

Onea²,

Rusu³

2021

Inventions

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“…Another study analyzing maritime accidents in Portuguese waters assessed the contribution of each factor in accident causation along with the effect of geo-position, time of the day, month and year [18]. Various weather windows for maritime operations in black sea were analyzed considering the wave and wind factors data in different seasons [58]. The effects of all these factors were evaluated with the type of ship and its flag together with resulting fatalities and injuries.…”

Section: Scenario Analysismentioning

confidence: 99%

Risk Assessment and Decision Support for Sustainable Traffic Safety in Hong Kong Waters

et al. 2020

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Hong Kong's port is one of the busiest in the world. Such heavy traffic is associated with a high accident rate. The present study uses Bayesian Networks to analyze accident risk in Hong Kong waters using 331 accident reports during the period of 1999-2017. The methodology adopted is comprised of an analysis of present literature and expert judgments for the determination of nodes and states. The calculation of probabilities and conditional probability tables (CPT) were done based solely on the real data in accident reports through parameter estimation. The results indicate that the highest portion of accidents was categorized as ''other'' with a probability of 0.5174. The majority of such accidents took place in port waters. The second highest category was ''collision'' with a probability of 0.2256. Both of these accident types were associated with the highest fatality rate-one or two people killed. Poor judgment, negligence and insufficient training were found to be the most influential factors with regard to human actions. The highest rate of injuries was associated with passenger ships. The results offer valuable insights into various accident scenarios which involve setting evidence at different states of consequences and accident types to determine the most prominent contributing factors. Sensitivity analysis was also conducted to recognize the most critical variables. This study should prove useful to decision and policy makers seeking to enhance sustainable safety in maritime traffic operations.INDEX TERMS Accident risk, potential consequences, Bayesian networks, hong kong waters, maritime traffic safety.

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“…Recent examples of published weather window analyses include sites in the North Atlantic Ocean near Portugal , the North Sea and Southern Baltic region (Gintautas & Sørensen, 2017), Japan (Japan Sea and Paci c Ocean) (Taniguchi et al, 2016), China (Yang et al, 2022), and the Black Sea (Onea & Rusu, 2019). Signi cant wave height (Hs) is the primary parameter used in these studies (O'Connor et al, 2013b(O'Connor et al, , 2013c(O'Connor et al, , 2013a.…”

Section: Introductionmentioning

confidence: 99%

Weather Window Analysis for the Deployment, Operation, and Maintenance of Marine Renewable Energy Devices in Irish Coastal Waters

Moore,

Eftekhari,

Nash

2024

Preprint

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This study presents a detailed analysis of weather window accessibility for marine renewable energy (MRE) sites along Ireland's coast, utilizing a robust 12-year met-ocean dataset. The research focuses on key test sites - the Atlantic Marine Energy Test Site (AMETS), the Galway Bay Test Site (GBTS), and the Westwave Demonstration Site - and expands to a broader spatial analysis of Irish coastal waters. By integrating significant wave height and wind data, the study evaluates site accessibility, emphasizing the paramount role of wave height in determining access. Findings reveal substantial spatial variability in accessibility, with high-resource areas like AMETS facing greater access challenges due to harsher conditions, as opposed to the more accessible GBTS. The study underscores the need for a nuanced, region-specific approach to MRE development in Ireland, highlighting how strategic planning and technological advancements are crucial in exploiting the country's significant MRE potential. The results also stress the importance of long-term data for accurate environmental variability assessment, offering vital insights for future MRE site viability and strategy development.

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Long-Term Analysis of the Black Sea Weather Windows

Cited by 12 publications

References 31 publications

Assessment of the Wind Energy Potential along the Romanian Coastal Zone

Assessment of the Wind Energy Potential along the Romanian Coastal Zone

Risk Assessment and Decision Support for Sustainable Traffic Safety in Hong Kong Waters

Weather Window Analysis for the Deployment, Operation, and Maintenance of Marine Renewable Energy Devices in Irish Coastal Waters

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