Weather window analysis of Irish west coast wave data with relevance to operations &amp; maintenance of marine renewables

OʼConnor, Michael; Lewis, Tony; Dalton, Gordon

doi:10.1016/j.renene.2012.10.021

Cited by 67 publications

(43 citation statements)

References 2 publications

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“…Dalgic et al suggests different weather limits for crew transfer (CTV) and jack-up vessels-1.5 m and 25 m/s for the former and 2.8 m significant wave height and 36 m/s wind speed limits for the latter [13]. O Conor et al [22] presents a more detailed overview of state-of-the art access vessels and their wave height limits-significant wave height limits range from 1.5 to 3 m depending on the type of vessel used. Bussel and Bierbooms [23] suggest a significant wave height limit range from 0.75 to 3 m and shows the effect of this range on the accessibility of the wind farm.…”

Section: Weather Constraints Of O and M And Installation Vesselsmentioning

confidence: 99%

Improved Methodology of Weather Window Prediction for Offshore Operations Based on Probabilities of Operation Failure

Gintautas

Sørensen

2017

JMSE

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Abstract:The offshore wind industry is building and planning new wind farms further offshore due to increasing demand on sustainable energy production and already occupied prime resource locations closer to shore. Costs of operation and maintenance, transport and installation of offshore wind turbines already contribute significantly to the cost of produced electricity and will continue to increase, due to moving further offshore, if the current techniques of predicting offshore wind farm accessibility are to stay the same. The majority of offshore operations are carried out by specialized ships that must be hired for the duration of the operation. Therefore, offshore wind farm accessibility and costs of offshore activities are primarily driven by the expected number of operational hours offshore and waiting times for weather windows, suitable for offshore operations. Having more reliable weather window estimates would result in better wind farm accessibility predictions and, as a consequence, potentially reduce the cost of offshore wind energy. This paper presents an updated methodology of weather window prediction that uses physical offshore vessel and equipment responses to establish the expected probabilities of operation failure, which, in turn, can be compared to maximum allowable probability of failure to obtain weather windows suitable for operation. Two case studies were performed to evaluate the feasibility of the improved methodology, and the results indicated that it produced consistent and improved results. In fact, the updated methodology predicts 57% and 47% more operational hours during the test period when compared to standard alpha-factor and the original methodologies.

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Section: Weather Constraints Of O and M And Installation Vesselsmentioning

confidence: 99%

Improved Methodology of Weather Window Prediction for Offshore Operations Based on Probabilities of Operation Failure

Gintautas

Sørensen

2017

JMSE

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“…Availability is defined as the proportion of time that the device is available to generate electricity, and is affected by the reliability and maintenance requirements of a device. A study by O'Connor showed the availability values to be used for the chosen locations for each case study [25]. The numerical availabilities used are shown in Table 6.…”

Section: Availabilitymentioning

confidence: 99%

“…Indeed, the literature has revealed that the time it takes to install a device is an important issue due to the limited weather windows available on the seas [4]. Research has shown that the number of weather windows available is dependent on the time required for the deployment and the significant wave height the installation can occur in [25]. If a device takes a significant length of time to install, in a year, there are likely to be fewer weather windows large enough to install the device, resulting in downtime while waiting to install the device, which will ultimately affect the electricity production and the LCOE of the deployment.…”

Section: Resources Metricsmentioning

confidence: 99%

“…The literature revealed that maintaining and servicing marine energy devices poses considerable risks due to the unpredictability of the sea and thus when the device may be available to access for routine and unplanned maintenance [4]. A study by O'Connor details how varying degrees of access to WECs changes the device availability, directly impacting the energy capture from the site, and ultimately the LCOE [25]. From the results of this study we can deduce that to maximise the availability of a WEC, planned maintenance should be minimised.…”

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confidence: 99%

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Risk vs. Reward: A Methodology to Assess Investment in Marine Energy

2016

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Abstract:The majority of WEC (wave energy converter) projects are expensive and pose a large risk to a developer. Currently no developers have been successful in commercialising a WEC. So far, many wave energy feasibility studies have only considered the LCOE (levelised cost of electricity), assessing investment in marine energy technologies from a purely financial point of view. No previous studies have, however, explicitly accounted for development risk as well as the LCOE to determine the feasibility of a project. This paper proposes a new methodology that can be used to account for both risk and the LCOE to give a clearer picture of the feasibility of a WEC development. By combining the LCOE and risk score for a particular development, the "value for risk" can be calculated, presented here as the "RR ratio" ("Risk/Reward ratio"). A number of case studies were chosen to test the model, investigating the RR ratio for a number of different WEC technologies and ranking them to suggest an optimal development path for the industry. Results showed that projects that combine many innovative technologies provide the best "value for risk". These devices overall had the highest risk, suggesting that multiple developers are likely required to collaborate in order to reduce the risk down to acceptable levels for each.

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“…Resource planning entails location of the maintenance crew, work shifts, and number of maintenance teams as well as planning of transport vessels and helicopters and availability of spares [44][45][46][47]. Weather window forecasting is another important factor for determining maintenance schedules [48].…”

Section: Maintenance Resource and Inventory Planningmentioning

confidence: 99%

Towards farm-level health management of offshore wind farms for maintenance improvements

Kandukuri

Robbersmyr

Karimi

2015

Int J Adv Manuf Technol

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This paper studies a conceptual architecture for health management of offshore wind farms. To this aim, various necessary enablers of a health management system are presented to improve reliability and availability while optimizing maintenance costs. The main focus lies on improving existing condition monitoring systems based on concepts of condition-based maintenance and reliability centered maintenance. A brief review of the relevant state-of-the-art is presented and gaps to be filled towards realization of such health management system are discussed.

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Weather window analysis of Irish west coast wave data with relevance to operations & maintenance of marine renewables

Cited by 67 publications

References 2 publications

Improved Methodology of Weather Window Prediction for Offshore Operations Based on Probabilities of Operation Failure

Improved Methodology of Weather Window Prediction for Offshore Operations Based on Probabilities of Operation Failure

Risk vs. Reward: A Methodology to Assess Investment in Marine Energy

Towards farm-level health management of offshore wind farms for maintenance improvements

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