Abstract

Tidal energy is nowadays one of the fastest growing types of marine renewable energy. In particular, Horizontal Axis Tidal Turbines (HATTs) are the most advanced designs and the most appropriate for standardization. This paper presents a review of actual design criteria focusing on the identification of the uncertainties that technology developers need to address during the design process. Key environmental parameters like turbine inflow conditions or predictions of extreme values are still grey areas due to the lack of site measurements and the uncertainty in metocean model predictions. A comparison of turbulence intensity characterization using different tools and at different points in time shows the uncertainty in the prediction of this parameter. Numerical models of HATTs are still quite uncertain, often dependent on experience of the people running them. In the reliability-based calibration of partial safety factors, the uncertainties need to be reflected on the limit state formulation. This paper analyses the different types of uncertainties present in the limit state equation. These uncertainties are assessed in terms of stochastic variables in the limit state equation. In some cases, advantage can be taken from the experience from offshore wind and oil and gas industries. Tidal turbines have a mixture of the uncertainties present in both industries with regard to partial safety factor calibration.

Highlights

  • Tidal energy is nowadays one of the fastest growing types of marine renewable energy

  • Site conditions consist of all natural phenomena which may influence the design of a Horizontal Axis Tidal Turbines (HATTs) by governing its loading, its capacity or both

  • This paper presents the principal sources of uncertainty for the design of tidal turbines and the uncertainties to be accounted for in the calibration of partial safety factors

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Summary

Introduction

Tidal energy is nowadays one of the fastest growing types of marine renewable energy. It is of paramount importance to increase the reliability in an effort to drive down the costs It is, in the interest of the industry to provide a set of standard practices in order to help in the process of designing this type of marine converters. In the calibration stage of these partial safety factors, parameters subject to uncertainty are assumed to be modelled by stochastic variables and/or stochastic processes/stochastic fields [2]. Statistical and measurement uncertainties are denoted epistemic uncertainties Another “type” of uncertainty that is not covered by these methods is gross errors or human errors. These types of errors can be defined as deviation of an event or process from acceptable engineering practice and is generally handled by quality control measures

Site Conditions
Measurements
Numerical Modelling
Load Simulations
Extreme
Power Production
Parked
Fatigue
Uncertainties in the Calibration of the Partial Safety Factors
G LN G N
Findings
Conclusions
Full Text
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