A Rolling Electrical Generator Design and Model for Ocean Wave Energy Conversion

Damacharla, Praveen; Fard, Ali Jamali

doi:10.3390/inventions5010003

Cited by 5 publications

(1 citation statement)

References 11 publications

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“…Renewable energy research is gaining popularity due to the increasing concerns over depleting natural resources and greenhouse emissions. There are several forms of renewable energy such as solar [1], wind [2], tidal [3], hydro [4], ocean wave [5,6], etc. Solar energy is a renewable energy source that can be used indefinitely without depleting natural resources but the amount of energy that solar panels can generate is dependent on the weather and can vary from day to day or season to season.…”

Section: Introductionmentioning

confidence: 99%

Ocean Wave Energy Control Using Aquila Optimization Technique

et al. 2023

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This paper presents ocean wave energy control using the Aquila optimization (AO) technique. An oscillating water column (OWC)-type wave energy converter has been considered that is fitted with a Wells turbine and doubly fed induction generator (DFIG). To achieve maximum power point tracking (MPPT), the rotor speed of the DFIG must be controlled as per the MPPT law. The MPPT law is designed in such a way that the Wells turbine flow coefficient remains within the threshold limit. It avoids the turbine from stalling which generates the maximum power. The MPPT law provides the reference rotor speed which is followed by the actual rotor speed. For this, a backstepping controller (BSC)-based rotational speed control strategy has been designed using the Lyapunov stability theory. The BSC has unknown control parameters which should be selected such that tracking errors are minimum. Hence, the objective of this work is to find the unknown control parameters using an optimization approach. The optimization approach of selecting BSC control parameters for an OWC plant has not been explored yet. To achieve this, an integral square error (ISE)-type fitness function has been defined and minimized using the AO technique. The results achieved using the AO technique have been compared with particle swarm optimization (PSO) and a genetic algorithm (GA), validating its superior performance. The rotor speed error maximum peak overshoot is least for AO-BSC as compared to PSO-BSC and GA-BSC. The fitness function value for AO comes out to be least among all the optimization methods applied. However, all tested methods provide satisfactory results in terms of turbine flow coefficient, rotor speed and output power. The approach paves the way for future research on ocean wave energy control.

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Section: Introductionmentioning

confidence: 99%

Ocean Wave Energy Control Using Aquila Optimization Technique

et al. 2023

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A study of a modified design of dumbbell-shaped flux switching tubular linear generator for regular wave energy conversion

et al. 2023

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Advantages of a novel truncated cone DE-air generator in energy conversion

Lai,

Feng,

Fang

et al. 2024

Smart Mater. Struct.

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Harvesting energy from ambient environments such as vibrations is a feasible approach to selfpower low powered electric devices. T- he dielectric elastomer generator (DEG) is a type of novel electrostatic generator with superior vibration energy harvesting (EH) performance. On the basis of traditional DEGs, a new concept of dielectric elastomer (DE)-air generator (DEAG), which contains the air layer and the DE membrane (DEM) as a composite dielectric layer, is proposed in this paper for the first time. Inspired by a classical truncated cone DEG (TC-DEG) concept, the novel truncated cone DEAG (TC-DEAG) is designed and comprehensively studied. Compared with the TC-DEG, the proposed TC-DEAG provides the larger capacitance ratio, leading to superior electrical output. The energy conversion mechanisms of both the TC-DEG and the TC-DEAG under a regular linear reciprocating excitation are analyzed theoretically by deducing the deformation condition of the DEM and the electrical outputs. Through measuring the capacitance of the DEM under deformations and testing the output voltage of the fabricated generators, the proposed theoretical models and predictions are verified. Moreover, numerical simulations based on the verified theoretical model are conducted to reveal the influences of some important system parameters on the EH performances of both generators, providing guidelines for the performance improvement of the generators.

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A Rolling Electrical Generator Design and Model for Ocean Wave Energy Conversion

Cited by 5 publications

References 11 publications

Ocean Wave Energy Control Using Aquila Optimization Technique

Ocean Wave Energy Control Using Aquila Optimization Technique

A study of a modified design of dumbbell-shaped flux switching tubular linear generator for regular wave energy conversion

Advantages of a novel truncated cone DE-air generator in energy conversion

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