Dynamics and control of air turbines in oscillating-water-column wave energy converters: Analyses and case study

Henriques, J.C.C.; Portillo, J.C.C.; Sheng, Wanan; Gato, L.M.C.; Falcão, A.F.O.

doi:10.1016/j.rser.2019.05.010

Cited by 68 publications

(29 citation statements)

References 39 publications

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“…Equation (55) shows that the flow rate is weakly affected by typical changes of the rotational speed since Q turb it is proportional to Ω −1∕5 . As introduced in the Section 1, the PTO system for the OWC consists of a biradial turbine and a generator [5]. The dynamics of the turbine/generator set is described by…”

Section: Power Take-off Systemmentioning

confidence: 99%

“…Besides, the air pressure signal is mostly clean and easily measurable, as opposed to wave elevation or excitation force. Under these assumptions, the pressure forecasting is relevant for the subsequent model predictive control (MPC) FIGURE 1 (a) Shoreline view of the Mutriku wave power plant; (b) the biradial turbine during the commissioning tests of the EU H2020 OPERA project [6] and (c) schematic cross section view of the Mutriku power plant [5] of the wave power plant. For these reasons, the present work is focused on short-term forecasting of the air chamber pressure on an OWC operating with the biradial turbine.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Air pressure forecasting for the Mutriku oscillating‐water‐column wave power plant: Review and case study

Silva

Vieira

Valério

et al. 2021

IET Renewable Power Gen

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The high variability and unpredictability of renewable energy resources require optimization of the energy extraction, by operating at the best efficiency point, which can be achieved through optimal control strategies. In particular, wave forecasting models can be valuable for control strategies in wave energy converter devices. This work intends to exploit the short‐term wave forecasting potential on an oscillating water column equipped with the innovative biradial turbine. A Least Squares Support Vector Machine (LS‐SVM) algorithm was developed to predict the air chamber pressure and compare it to the real signal. Regressive linear algorithms were executed for reference. The experimental data was obtained at the Mutriku wave power plant in the Basque Country, Spain. Results have shown LS‐SVM prediction errors varying from 9% to 25%, for horizons ranging from 1 to 3 s in the future. There is no need for extensive training data sets for which computational effort is higher. However, best results were obtained for models with a relatively small number of LS‐SVM features. Regressive models have shown slightly better performance (8–22%) at a significantly lower computational cost. Ultimately, these research findings may play an essential role in model predictive control strategies for the wave power plant.

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Section: Power Take-off Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Air pressure forecasting for the Mutriku oscillating‐water‐column wave power plant: Review and case study

Silva

Vieira

Valério

et al. 2021

IET Renewable Power Gen

View full text Add to dashboard Cite

show abstract

“…With respect to the flow in the capture chamber, there are two main ways to simulate depending on whether or not the air compressibility is considered. The precise but complex model can refer to the approach of Henriques and Falcão [38] and Spanos and Federica [39]. Actually, the compressibility of air can be ignored in case the Mach number is less than 0.3 [40].…”

Section: Equations For Hydrodynamic Subsystemmentioning

confidence: 99%

Design and Performance Assessment of Multi-Use Offshore Tension Leg Platform Equipped with an Embedded Wave Energy Converter System

et al. 2020

Energies

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In this study, a new multi-use offshore tension leg platform (TLP) was designed for wave energy production through an embedded wave energy converter (EWEC) system. The proposed EWEC system consists of four built-in tuned liquid column dampers for absorbing the hull motion energy and eight Wells turbines as the power take-off devices. A multifold nonlinear analytical model of this multibody system was developed considering the hydrodynamics of the TLP-EWEC system during large motions and the aerohydrodynamics of the chamber-turbine groups. A comprehensive assessment, including an evaluation of motion responses and preliminary generating capacity, was performed for different wave-load directions using the numerical time integration method. The results indicated that the multi-use platform can generate a considerable amount of turbine power for the offshore platform energy mix as well as serve for offshore oil and gas production in the target oil fields. Such additional benefits and profitability were proven effective and worthy for further exploration and practical application.

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“…In 2019, Henriques et al presented wave-to-wire models to analyze the dynamics and the control of air turbines and electric generators for the OWC plant installed in the breakwater of the Bay of Biscay, located in Mutriku, in Spain [70]. The performance of a Wells and a biradial turbine were determined and compared.…”

Section: Owc Wave-to-wire Literature Reviewmentioning

confidence: 99%

Wave-to-Wire Model of an Oscillating-Water-Column Wave Energy Converter and Its Application to Mediterranean Energy Hot-Spots

et al. 2020

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Oscillating water column (OWC) systems are among the most credited solutions for an effective conversion of the notable energy potential conveyed by sea waves. Despite a renewed interest, however, they are often still at a demonstration phase and additional research is required to reach industrial maturity. Within this framework, this study provides a wave-to-wire model for OWC systems based on an impulse air turbine. The model performs a comprehensive simulation of the system to estimate the attendant electric energy production for a specific sea state, based on analytical models of the primary (fixed chamber) and secondary (air turbine) converters coupled with the tertiary converter (electric generator). A rigid piston model is proposed to solve the hydrodynamics, thermodynamics, and hydrodynamics of the chamber, in a coupled fashion with the impulse turbine aerodynamics. This is solved with a novel method by considering the cascades as sets of blades, each one consisting of a finite number of airfoils stacked in the radial direction. The model was applied for two Mediterranean sites located in Tuscany and Sardinia (Italy), which were selected to define the optimal geometry of the turbine for a specified chamber. For each system, the developed analytical wave-to-wire model was applied to calculate the performance parameters and the annual energy production in environmental conditions typical of the Mediterranean Sea. The selected impulse turbines are able to convert 13.69 and 39.36 MWh/year, with an efficiency of 4.95% and 4.76%, respectively, thus proving the interesting prospects of the technology.

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Dynamics and control of air turbines in oscillating-water-column wave energy converters: Analyses and case study

Cited by 68 publications

References 39 publications

Air pressure forecasting for the Mutriku oscillating‐water‐column wave power plant: Review and case study

Air pressure forecasting for the Mutriku oscillating‐water‐column wave power plant: Review and case study

Design and Performance Assessment of Multi-Use Offshore Tension Leg Platform Equipped with an Embedded Wave Energy Converter System

Wave-to-Wire Model of an Oscillating-Water-Column Wave Energy Converter and Its Application to Mediterranean Energy Hot-Spots

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