Weather window analysis of a site off Portugal

Martins, Décio Ruivo; Muraleedharan, G.; Soares, C

doi:10.1201/b17494-179

Cited by 7 publications

(6 citation statements)

References 1 publication

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“…Not (yet) applied for > 2 metocean parameters or multiple operations, long time series required. [2,4,8,3,9] Markov chain theory Shorter time series required. Not (yet) applied for > 2 metocean parameters or multiple operations.…”

Section: Pros Cons Literaturementioning

confidence: 99%

Probabilistic downtime estimation for sequential marine operations

Bruijn

Rip

Hendriks

et al. 2019

Applied Ocean Research

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A marine project consists of series of operations, with each operation subject to a predefined operational limit and duration. If actual weather conditions exceed the operational limit, the operation cannot be executed and hence downtime occurs. An accurate assessment of uncertainties and the expected downtime during a marine project is important in the tender and execution phase. This paper proposes a new probabilistic model for downtime estimation. It utilizes linked Markov chains that use actual metocean conditions to produce binary workability sequences for each operation. Synthetic time-series can be generated based on the statistics of the past observations and more project simulations are realizable, reducing the simulation uncertainty. The capabilities and limitations of the proposed approach are illustrated in a case study for a hypothetical project in the Tasman Sea.

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Section: Pros Cons Literaturementioning

confidence: 99%

Probabilistic downtime estimation for sequential marine operations

Bruijn

Rip

Hendriks

et al. 2019

Applied Ocean Research

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“…Unfortunately, the research works in this respect are seldom. Literature [8,9] proposed the waiting time for an accessible sea state acquired by the geometric law. The premise of using the geometric law is that all the wave height included in the waiting time is higher than the threshold level of SWH ( ac h ).…”

Section: Weather Modelmentioning

confidence: 99%

Decision-making of spare subsea trees with multi-restrictive factors in deepwater development

Jin-zhi¹,

Duan²

2016

EiN

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“…Also, more sophisticated weather models can be developed and implemented in the Petri net model when data are available in particular sites. Probabilistic models of weather windows can be developed from existing weather data, as done, for example, by Martins et al, 18 and used in this type of study, instead of the more simplified approach adopted now.…”

Section: Baseline Logistics and Weather Parametersmentioning

confidence: 99%

Modelling and simulation of the operation and maintenance of offshore wind turbines

Santos

Teixeira

Soares

2015

Proceedings of the Institution of Mechanical Engineers, Part O:

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The offshore environment limits the accessibility to the wind turbines and subjects them to faster degradation processes than in onshore. Thus, operation and maintenance is more challenging and costly and represents a considerable share of the cost of energy. It is therefore important to identify which factors most influence the turbines’ performance, namely, the availability, overall cost and revenues, so that actions can be taken to minimize their effect. This article addresses such issues by presenting a parametric study on how the variation of failure and repair models, vessels logistic times, weather windows and waiting times affect a wind turbine performance. Offshore failure models/data were not usually available on the public domain, being obtained herein from onshore ones using an empirical approach based on stress factors for mechanical systems. The baseline model results from the optimization of an operation and maintenance strategy based on corrective maintenance replacements and imperfect age-based preventive maintenance repairs. Generalized stochastic Petri nets with predicates coupled with Monte Carlo simulation are used for modelling and simulation. Results are discussed.

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Weather window analysis of a site off Portugal

Cited by 7 publications

References 1 publication

Probabilistic downtime estimation for sequential marine operations

Probabilistic downtime estimation for sequential marine operations

Decision-making of spare subsea trees with multi-restrictive factors in deepwater development

Modelling and simulation of the operation and maintenance of offshore wind turbines

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