A novel hybrid model for the estimation of energy conversion in a wind farm combining wake effects and stochastic dependability

Famoso, Fabio; Brusca, S.; D’Urso, Diego; Galvagno, Antonio; Chiacchio, Francesco

doi:10.1016/j.apenergy.2020.115967

Cited by 26 publications

(9 citation statements)

References 60 publications

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“…The kinetic energy of a column of wind of density ρ, driven by a velocity V, of length x, of cross section S as shown in Figure 2 [22]. The kinetic energy of this air column is [23]:…”

Section: Wind Turbine Static Modelmentioning

confidence: 99%

“…J o u r n a l P r e -p r o o f The block diagram of the TSR based MPPT algorithm is given by Figure 12 [47]. The PI regulator is used to reduce the error between the optimal speed reference calculated in Eq (22) and the actual speed. This algorithm requires the accurate measurement of wind speed using an anemometer, this latter has an additive cost and it becomes a disadvantage for small turbine, add to that the inconvenience of the limited operating area.…”

Section: Fig 11 -Tsr Principle Based Mppt Algorithmmentioning

confidence: 99%

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Improved hardware implementation of a TSR based MPPT algorithm for a low cost connected wind turbine emulator under unbalanced wind speeds

Zouheyr

Baghli

Boumédiène

2021

Energy

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“…The kinetic energy of a column of wind of density ρ, driven by a velocity V, of length x, of cross section S as shown in Figure 2 [22]. The kinetic energy of this air column is [23]:…”

Section: Wind Turbine Static Modelmentioning

confidence: 99%

Section: Fig 11 -Tsr Principle Based Mppt Algorithmmentioning

confidence: 99%

Improved hardware implementation of a TSR based MPPT algorithm for a low cost connected wind turbine emulator under unbalanced wind speeds

Zouheyr

Baghli

Boumédiène

2021

Energy

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“…In point of fact, the simulation approach has further favored the conception of advanced methodologies to improve the realism of a model. In recent papers, Stochastic Hybrid Automaton models have been used to analyze complex dependable systems like nuclear [39] and renewable power plants [19], [58], [59]. In particular, the latter have been analyzed adopting a Fault Tree-like methodology, known as Stochastic Hybrid Fault Tree Automaton (SHyFTA) or Hybrid DFT.…”

Section: B Dynamic and Hybrid Fault Treesmentioning

confidence: 99%

A Novel Approach Based on Stochastic Hybrid Fault Tree to Compare Alternative Flare Gas Recovery Systems

2021

Self Cite

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Flaring has always been an inseparable part of oil production and exploration. Previously, waste gas collected from different parts of facilities was released for safety or operational reasons and combusted on top of a flare stack since there was not the possibility to treat or use this type of gas. Concerns about global warming led to several initiatives for reducing flaring or even eliminating combustion. Treating flare gas was made possible by the introduction of flare gas recovery systems that have become increasingly obligatory. Most solutions add a flare gas recovery system to an existing flare system. In a typical scenario, after analyzing the existing facility and collecting the necessary data, alternative designs are proposed and criteria are determined to make a choice between the proposed alternatives. In this paper two designs of a gas control system are proposed, and reliability was chosen as the deciding factor. Using repairable dynamic fault trees, the failure models of the two designs have been implemented. Afterwards, a novel hybrid technique, the Stochastic Hybrid Fault Tree Automaton, is used to model the working conditions in which the system operates, with the aim to achieve a more realistic assessment and evaluate the disaster likelihood associated to these failures. It is shown that the latter enables a richer analysis where the effects of failure can be better assessed. This is important for correct choice between design alternatives because, as shown in the case study, the results of the two analyses can lead to contrasting conclusions of the solution to adopt. Further investigations have been carried out focusing on the safety sub-systems and on the basic events in each design. The Importance Measure analysis revealed that some of the components were responsible for most of the critical failures, thus locating some areas of possible design improvement.

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“…Zhong et al (2015) have combined the Lagrangian dynamic large-eddy model and actuator line methods to present a numerical model for analyzing wind turbine near wakes at three different representative tip speed ratios. Famoso et al (2020) have combined Jensen wake mathematical theory with a stochastic dependability model to estimate the accurate production of power. Park and Law (2015) have derived a continuous wake model, which is then maximized by SCP for this non-linear mathematical problem.…”

Section: Introductionmentioning

confidence: 99%

Wake reduction in horizontal axis wind turbine: A review of advancements in techniques

Awan

Sarosh

2022

Wind Engineering

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Renewable energy systems have experienced exponential growth toward producing zero-carbon energy. In this context, wind turbines continue to play a significant role. To extract maximum power, wind turbines are installed in array-like formation in wind farms. This arrangement though beneficial, also leads to detrimental wind-wakes effects. The wakes reduce wind speed and induce undesirable turbulence of flow field in downstream direction. To address this issue, several innovative techniques have been proposed. This paper surveys the best methods by classifying these into passive and active techniques. The passive techniques affect the wake flow by modifying only the geometrical or operating characteristics of wind turbines such as adjustment of forward and backward sweeps, etc. The active techniques use additional surfaces/devices for wake handling such as vortex generators, leading edge protuberances, dual-rotors, and cross-axis wind turbines etc. Additionally, this paper also reviews various wake measurement methods and recommends the best suited technique.

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A novel hybrid model for the estimation of energy conversion in a wind farm combining wake effects and stochastic dependability

Cited by 26 publications

References 60 publications

Improved hardware implementation of a TSR based MPPT algorithm for a low cost connected wind turbine emulator under unbalanced wind speeds

Improved hardware implementation of a TSR based MPPT algorithm for a low cost connected wind turbine emulator under unbalanced wind speeds

A Novel Approach Based on Stochastic Hybrid Fault Tree to Compare Alternative Flare Gas Recovery Systems

Wake reduction in horizontal axis wind turbine: A review of advancements in techniques

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