Title
On the definition of a risk index based on long-term metocean data to assist in the design of Marine Renewable Energy systemsAuthor (from another institution)
Version
http://purl.org/coar/version/c_71e4c1898caa6e32
Rights
© 2021 Elsevier LtdAccess
http://purl.org/coar/access_right/c_f1cfPublisher’s version
https://doi.org/10.1016/j.oceaneng.2021.110080Published at
Ocean Engineering Vol. 242. N. artículo 110080, 2021Publisher
Elsevier LtdKeywords
Marine Renewable Energy design
Risk index
Re-analysis metocean data
Environmental contours ... [+]
Risk index
Re-analysis metocean data
Environmental contours ... [+]
Marine Renewable Energy design
Risk index
Re-analysis metocean data
Environmental contours
Fatigue and extreme loads [-]
Risk index
Re-analysis metocean data
Environmental contours
Fatigue and extreme loads [-]
Abstract
Marine Renewable Energy (MRE) systems are designed to maximise energy generation and ensure survivability. The traditional design process is based on pure environmental conditions, tends to be too con ... [+]
Marine Renewable Energy (MRE) systems are designed to maximise energy generation and ensure survivability. The traditional design process is based on pure environmental conditions, tends to be too conservative and limits the decision-making options. This paper presents a preliminary study on a novel risk-index combining the probabilistic occurrence matrix of sea-states with a consequence matrix. The stochastic direct sampling method is used for the quantification of occurrence matrices and consequences are estimated for fatigue effects and extreme loads. The paper shows a comparison of three design points (DPs) with increasing conservatism selected using metocean data for the period 1990–2000: high- and medium-risk DPs based on the novel risk index, and a low-risk DP obtained from a traditional PCA-based environmental contour. These DPs are compared to metocean data collected via in-situ measurements for the period 2000–2020, where the designed MRE system is supposed to operate. Results show that the low-risk DP overestimates the design Hs by 50%, while the high-risk DP underestimates it by 20%. The former would result in significant over-costs, while the later would very likely lead to catastrophic damages. The design Hs suggested by the medium-risk DP matches with the maximum Hs measured between 2000–2020, showing its suitability. [-]
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