Dimensional optimization of a two-body Wave energy converter using response surface methodology

Rezaei, Saeed; Rahimi, Amir Mohammad; Parvizian, J.; Mansourzadeh, Shahriar; Düster, Alexander

doi:10.1016/j.oceaneng.2022.112186

Cited by 21 publications

(3 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By including these forces, this model can better capture the energy conversion process in the PTO system. [28][29][30][31] The model also considers the fluid in the combined wave-current action field, an aspect that is often overlooked in existing models. This provides a more realistic evaluation of the wave energy converter's performance.…”

Section: Model Promotion Evaluationmentioning

confidence: 99%

Oscillating body wave energy conversion efficiency based on Simulink simulation training

Yin,

Lu,

et al. 2024

Energy Science & Engineering

View full text Add to dashboard Cite

With the development of the economy and society, we are faced with the dual challenges of energy demands and environmental pollution. As one of the important marine renewable energies, wave energy is widely distributed and abundant, and has considerable applications in various fields. Oscillating body wave energy converter (WEC) is most popular among WECs; its energy conversion efficiency is thus one of the key issues for practical large‐scale applications. This article establishes a new model of the float and vibrator under different motion conditions, conducts simulation training, and then solves the displacement and velocity at different times, and finally optimizes the maximum output power and optimal damping coefficient. Simulink calculation is one of the most effective tools including neural networks, which allows us to achieve intelligent training and simulation. The obtained data imply that the maximum output power could be 8.102 W when the corresponding linear damping is 21,000 N s/m and the rotation damping is 95,000 N s/m. The article takes into account the pitching motion of the float, providing a more realistic model and obtaining optimal power absorbing efficiency. The obtained results could be the potential reference data in practically setting up the wave energy conversion systems.

show abstract

Section: Model Promotion Evaluationmentioning

confidence: 99%

Oscillating body wave energy conversion efficiency based on Simulink simulation training

Yin,

Lu,

et al. 2024

Energy Science & Engineering

View full text Add to dashboard Cite

show abstract

“…Finally, they created the response surface and contour plots as a function of independent factors and determined the optimal placements. The stage specs are shown below [47][48][49].…”

Section: Theorymentioning

confidence: 99%

Optimization of Different Chemical Processes Using Response Surface Methodology- A Review

Zaid

Al‐Sharify

Hamzah

et al. 2022

jeasd

View full text Add to dashboard Cite

Several chemical and biological processes have been investigated and predicted using Response Surface Methodology (RSM) models. Response Surfaces Methodology is a useful instrument for designing laboratory-scale experiments that optimize and support the research outcomes with statistical analysis. It is a powerful statistical technique for complex variable study systems. The standard optimization (one component at a time) strategy is well-studied. However, it has significant drawbacks, such as requiring more experimental runs and time and failing to reveal the synergistic impact of processing parameters. It is a valuable instrument for process improvement. Recent research has shown, for instance, that RSM successfully optimizes biodiesel in fats and oils generated from diverse feedstocks. According to this study, Response Surface Methodology is the best cost-effective technique for maximizing environmentally friendly and sustainable methods applied to different experimental procedures. The current review reported RSM's application, theory, methodology, advantages, and limitations for different processes using different oil sources.

show abstract

“…When the buoy moves with the waves, it drives the piston in the pipe, which drives the hydraulic motor to generate electricity. As shown in Figure 1a PB3 PowerBuoy [12] consists of a water motion buoy and a submerged cylindrical device. When the buoy moves up and down with the waves, it will drive the hydraulic piston in the base to move and convert the wave energy into electricity through the rotary motor and generator.…”

Section: Introductionmentioning

confidence: 99%

Design and CFD Analysis of the Energy Efficiency of a Point Wave Energy Converter Using Passive Morphing Blades

Wang

Luo

et al. 2022

Energies

View full text Add to dashboard Cite

A wave energy converter features the ability to convert wave energy into the electrical energy required by unmanned devices, and its energy-conversion efficiency is an essential aspect in practical applications. This paper proposes a novel point-absorption wave energy converter with passive morphing blades to meet the demand for improved energy-conversion efficiency. We first introduce its concept and design, with its blades forming their shape by adaptive changes with the direction of the water flow. Next, the three-dimensional geometrical-morphing model, energy-conversion model, and energy-conversion-efficiency model of the wave energy converter were established. Then, the CFD model was built to optimize the design parameters, and the simulation results revealed that the maximum conversion efficiency can be obtained at 90% solidity with 10 blades, a 40–60% load, and 20~25 degrees for the external deflection angle. The simulations also showed that the passive morphing-blade group provides ~40% higher torque and ~60% higher hydraulic efficiency than the flat-blade group.

show abstract

Dimensional optimization of a two-body Wave energy converter using response surface methodology

Cited by 21 publications

References 39 publications

Oscillating body wave energy conversion efficiency based on Simulink simulation training

Oscillating body wave energy conversion efficiency based on Simulink simulation training

Optimization of Different Chemical Processes Using Response Surface Methodology- A Review

Design and CFD Analysis of the Energy Efficiency of a Point Wave Energy Converter Using Passive Morphing Blades

Contact Info

Product

Resources

About