Recent Control Technologies for Floating Offshore Wind Energy System: A Review

Ha, Kwangtae; Truong, Hoai Vu Anh; Dang, Tri Dung; Ahn, Kyoung Kwan

doi:10.1007/s40684-020-00269-5

Cited by 41 publications

(13 citation statements)

References 89 publications

(115 reference statements)

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“…The research landscape on renewable energy in Europe encompasses studies that span various aspects, including policy frameworks, economic impacts, technological advancements, and environmental sustainability [15,16]. Campos et al (2020) underscore the evolving role of RE prosumers within the EU, influenced by policies that transition consumers to active energy participants [17].…”

Section: Renewable Energy Studies In Northern Eupopeanmentioning

confidence: 99%

Northern Lights: Prospecting Efficiency in Europe’s Renewable Energy Sector

Hung,

Yang

2024

Processes

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Northern European nations are at the forefront of renewable energy adoption but face challenges in optimizing energy conversion efficiency. There is a lack of detailed understanding of how behavioral factors affect the efficiency of renewable energy conversion in these countries. This study aims to evaluate and compare the renewable energy conversion efficiency of Northern European countries, intending to inform strategic policy making and identify best practices for technology deployment in the renewable energy sector. Employing a Data Envelopment Analysis (DEA) model, the study integrates behavioral economic parameters—specifically, the aversion loss and gain significance coefficients—to assess the efficiency of renewable energy conversion, accounting for psychological factors in decision making. A comprehensive sensitivity analysis was conducted, varying the gain significance coefficient while maintaining the aversion loss coefficient at constant levels. This experiment was designed to observe the impact of behavioral parameters on the efficiency ranking of each country. The analysis revealed that Latvia consistently ranked highest in efficiency, irrespective of the gain significance valuation, whereas Iceland consistently ranked lowest. Other countries demonstrated varying efficiency rankings with changes in gain significance, indicating different behavioral economic influences on their renewable energy sectors. Theoretically, the study enhances the DEA framework by integrating behavioral economics, offering a more holistic view of efficiency in renewable energy. Practically, it provides a benchmarking perspective that can guide policy and investment in renewable energy, with sensitivity analysis underscoring the importance of considering behavioral factors. The research offers a practical tool for policymakers and energy stakeholders to align renewable energy strategies with behavioral incentives, aiming to improve the adoption and effectiveness of these initiatives.

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Section: Renewable Energy Studies In Northern Eupopeanmentioning

confidence: 99%

Northern Lights: Prospecting Efficiency in Europe’s Renewable Energy Sector

Hung,

Yang

2024

Processes

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“…The maximum value of the power capture curve

C_{p} ((),, λ, β)

can be described as

C_{p} {(λ, β)}_{\max} = C_{p} ((),, λ_{italicopt}, β_{italicopt})

, which means the optimal value. Besides, in low wind speed, the blade pitch angle

β

is fixed at 0, therefore, in order to keep the best tip speed ration, the rotor speed must be adjusted to track the optimal reference

ω_{d}

, where the optimal reference

ω_{d}

is expressed as

ω_{d} goodbreak= \frac{λ_{opt} v}{R}

C_{p} ((),, λ, β)

is expressed as 38

\begin{matrix} lefttrue \\ C_{p} (λ, β) = c_{1} (\frac{c_{2}}{λ_{i}} - c_{3} β - c_{4}) \exp (\frac{- c_{5}}{λ_{i}}) + c_{6} λ \\ \frac{1}{λ_{i}} = \frac{1}{λ + 0.08 β} - \frac{0.035}{β^{3} + 1} \end{matrix}

where

c_{1} = 0.5176

c_{2} = 116

c_{3} = 0.4

c_{4} = 5

c_{5} = 21

c_{6} = 0.0068

.…”

Section: Modeling Of Wind Turbinesmentioning

confidence: 99%

Prescribed performance finite‐time control of wind energy conversion systems with input constraint and system uncertainty

Jing

Liu

Sun

et al. 2021

Int Trans Electr Energ Syst

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In this paper, the maximum wind power tracking control problem for the wind energy conversion system is considered and two effective algorithms are presented to solve it. The main contributions are as follows: (a) An improved prescribed performance control algorithm is proposed. By using a new performance function and a new error transformation scheme, the proposed controller can solve overshoot problems and guarantee tracking error to reach its stability region within finite time. (b) The nonsingular terminal sliding mode prescribed performance control algorithm is proposed. In order to solves finite time convergence and avoid the generation of singularity for wind energy conversion system, a finite-time stable controller is designed by combining the nonsingular terminal sliding mode technique and a finite-time prescribed performance function. Furthermore, a finite-time observer is used to estimate the system uncertainties. An auxiliary system is introduced to solve the problem of control input saturation. The stability of the system is proved

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“…However, operation and maintenance tasks are becoming more important and difficult because offshore wind turbines are located far from shore. This significantly hinders the accessibility and labor tasks compared to those for the onshore wind turbines [6,7]. Therefore, reducing the failure risk of components through good monitoring at the manufacturing and testing stages and the early detection of component issues before failure occurs are highly important.…”

Section: Introductionmentioning

confidence: 99%

Application of 3D Digital Image Correlation Technique to Measurement of Wind Blade Properties from Coupon Test and Small-Sized-Blade Frequency Test

Ha,

Kang,

Kwon

et al. 2024

Energies

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As a wind blade is getting larger, its structural behavior becomes more complex and thus the risk of blade structural failure becomes higher. Generally, structural integrity is proved through blade testing with contact measurement devices such as strain gauges. However, contact measurement can only measure the physical quantities from installation points and requires lengthy cables to transmit the electrical signals to a data acquisition system, which can cause signal noise and add unnecessary weight. Recently, noncontact measurement techniques such as digital image correlation (DIC) have been widely used in various industries to process images captured from cameras and generate full-field strains and displacements without any mechanical connections such as cables. In this study, the application of three-dimensional DIC to wind blades was investigated; in addition, the material properties of glass-fiber-reinforced plastics used in blades for the measurement of the first frequency were also studied. Tensile testing was performed using coupons equipped with strain gauges and speckle patterns. In addition, a small blade from a 10 kW wind turbine was utilized to measure the first flapwise frequency using DIC and modal tests; the results showed a 2.1% difference between the two different measurements. This research showed that the DIC technique could be an alternative replacement for the traditional measurement technique upon further validation tests.

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Recent Control Technologies for Floating Offshore Wind Energy System: A Review

Cited by 41 publications

References 89 publications

Northern Lights: Prospecting Efficiency in Europe’s Renewable Energy Sector

Northern Lights: Prospecting Efficiency in Europe’s Renewable Energy Sector

Prescribed performance finite‐time control of wind energy conversion systems with input constraint and system uncertainty

Application of 3D Digital Image Correlation Technique to Measurement of Wind Blade Properties from Coupon Test and Small-Sized-Blade Frequency Test

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