Technological cost-reduction pathways for attenuator wave energy converters in the marine hydrokinetic environment.

Bull, Diana L; Ochs, Margaret E.

doi:10.2172/1096511

Cited by 14 publications

(7 citation statements)

References 20 publications

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“…Based on the location where the fixing is executed, WECs can be categorized into off-shore [61], near-shore [62], and onshore [63]. Four vigorous types of the WECs are oscillating water column (OWCs) [64], point absorber [65], surface attenuator [66], and overtopping device [67]. Advanced power take-off devices for seizing OWE contain hydraulic rams which is fundamentally a water pump, hydroelectric turbines, air turbine, and linear electrical generator [68].…”

Section: Prospect Of Oceanic Wave Energy and Existing Wecsmentioning

confidence: 99%

Progress in Piezoelectric Material Based Oceanic Wave Energy Conversion Technology

et al. 2020

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Recently, electrical engineers are paying great attention to develop oceanic wave energy conversion technologies based on the piezoelectric materials because of their excellent conveniences. Piezoelectric oceanic wave energy converters (OWECs) have several benefits over the others such as its small size, lightweight, no requirement of using intermediate device as well as having less negative impacts on the oceanic environment. Various review and research papers focus on the piezoelectric devices, their operation and application for oceanic energy conversion. But, to the best of the authors' knowledge, none of the existing research or review papers present detailed scheme of piezoelectric device based power generation covering all the relevant topics as depicted in this review. This paper focuses different aspects of piezoelectric device based oceanic wave energy conversion technology including prospect, historical development, classification, operating principle, configuration, arrangement, model, processing, post-processing, and their test setups. In addition, technical challenges, future direction of research and critical review are also illustrated. It is assumed that, this paper would play a significant role for the future development of piezoelectric OWECs and the researcher working in this field. INDEX TERMS Energy conversion, oceanic wave energy, piezoelectric material, piezoelectric generator, renewable energy, wave power.

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Section: Prospect Of Oceanic Wave Energy and Existing Wecsmentioning

confidence: 99%

Progress in Piezoelectric Material Based Oceanic Wave Energy Conversion Technology

et al. 2020

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“…Despite the great efforts, harvesting wave energy is still at an immature stage of development compared with other renewable energies, e.g. wind and solar energies, [2]- [4].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Model Predictive Control of Wave Energy Converters

Zhan

et al. 2020

IEEE Trans. Sustain. Energy

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In this paper, we propose an adaptive hierarchical model predictive control (AHMPC) scheme for wave energy converters (WECs). This AHMPC enables adaptive tuning mechanism for a model predictive control (MPC) strategy by estimating the dynamics of a WEC online, so that it can recover from performance degradation of a WEC due to the dynamics variations at different sea conditions. The proposed AHMPC consists of two layers: On the top layer, an efficient cascaded estimation algorithm is developed to online identify and update the WEC model adaptively according to the change of sea states; on the bottom layer, a specially-tailored MPC controller is implemented based on the updated WEC model to maximize the energy output subject to constraints for safe operation requirements. Numerical simulations are provided to show the efficacy of the proposed AHMPC scheme.

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“…In the UK, between 200 and 300 MWs of wave and tidal energy may be harvested by 2020, and up to 27GWs by 2050 [3]. However, current wave technology is still immature for commercial purposes because the low energy extraction rate and the high risk of device damage can cause much higher unit cost of generated electricity than fossil fuels and even other relatively mature renewable energies [4]. Hence, appropriate control strategies need to be developed for WECs to solve the energy maximization and guarantee their safe operation.…”

Section: Introductionmentioning

confidence: 99%

“…Development of advanced control strategies for WECs is identified as one of the most promising cost-reduction pathways [4]. It is found that the control task of WECs is to maximize energy generation from sea waves and reduce the risk of device damage.…”

Section: Introductionmentioning

confidence: 99%

Robust Optimal Control of Wave Energy Converters Based on Adaptive Dynamic Programming

Wang

et al. 2019

IEEE Trans. Sustain. Energy

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This paper presents a robust adaptive optimal control strategy for wave energy converters (WECs). We first propose a new estimator in a simple form to address modeling uncertainties and formulate the control of WECs as an optimal control problem. Then a novel energy maximization control strategy is developed based on the concept of adaptive dynamic programming (ADP), where a critic neural network (NN) is used to approximate the time-dependent optimal cost value. To achieve guaranteed convergence, a recently proposed adaptive law based on the parameter estimation error is further tailored to online update the weights of critic NN. Consequently, the critic NN output, e.g. the costate, can be used to compute the optimal feedback control. The proposed robust ADP WEC control method is not only effective in handling dynamic uncertainties, but also computationally efficient with a very fast online convergence rate for the weights of the critic NN (less than 20 seconds for irregular sea waves as demonstrated in the simulations). These advantages significantly enhance the real-time applicability of the proposed method. Simulation results show that this approach is robust to model uncertainties and has significantly reduced computational costs for implementation. Index Terms-Wave energy converter, adaptive optimal control, adaptive dynamic programming, uncertainty estimator.

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Technological cost-reduction pathways for attenuator wave energy converters in the marine hydrokinetic environment.

Cited by 14 publications

References 20 publications

Progress in Piezoelectric Material Based Oceanic Wave Energy Conversion Technology

Progress in Piezoelectric Material Based Oceanic Wave Energy Conversion Technology

Adaptive Model Predictive Control of Wave Energy Converters

Robust Optimal Control of Wave Energy Converters Based on Adaptive Dynamic Programming

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