Ocean Renewable Energy Potential, Technology, and Deployments: A Case Study of Brazil

Shadman, Milad; Silva, Corbiniano; Faller, Daiane Gracieli; Wu, Zhijia; Assad, Luiz Paulo de Freitas; Landau, Luiz; Levi, Carlos; Estefen, Segen F.

doi:10.3390/en12193658

Cited by 47 publications

(36 citation statements)

References 147 publications

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“…The device harvesting the ocean wave energy is the wave energy converter (WEC) [26]. WECs have very different designs [19], which is the main reason behind its lag in use compared to other renewables.…”

Section: Introductionmentioning

confidence: 99%

Breaking-Down and Parameterising Wave Energy Converter Costs Using the CapEx and Similitude Methods

Henriksen¹,

Etemad‐Shahidi

Tomlinson

2021

Energies

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Wave energy converters (WECs) can play a significant role in the transition towards a more renewable-based energy mix as stable and unlimited energy resources. Financial analysis of these projects requires WECs cost and WEC capital expenditure (CapEx) information. However, (i) cost information is often limited due to confidentiality and (ii) the wave energy field lacks flexible methods for cost breakdown and parameterisation, whereas they are needed for rapid and optimised WEC configuration and worldwide site pairing. This study takes advantage of the information provided by Wavepiston to compare different costing methods. The work assesses the Froude-Law-similarities-based “Similitude method” for cost-scaling and introduces the more flexible and generic “CapEx method” divided into three steps: (1) distinguishing WEC’s elements from the wave energy farm (WEF)’s; (2) defining the parameters characterising the WECs, WEFs, and site locations; and (3) estimating elements that affect WEC and WEF elements’ cost and translate them into factors using the parameters defined in step (2). After validation from Wavepiston manual estimations, the CapEx method showed that the factors could represent up to 30% of the cost. The Similitude method provided slight cost-overestimations compared to the CapEx method for low WEC up-scaling, increasing exponentially with the scaling.

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Section: Introductionmentioning

confidence: 99%

Breaking-Down and Parameterising Wave Energy Converter Costs Using the CapEx and Similitude Methods

Henriksen¹,

Etemad‐Shahidi

Tomlinson

2021

Energies

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“…converters (WECs) since the early 1980s (Czech and Bauer 2012;Falcão 2010;Shadman et al 2019). In relation to their geometry, WECs are usually classified as being either terminator, attenuator, or point absorber (PA) types (Al Shami et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Double Snap-Through Mechanism on the Wave Energy Converter’s Performance

Liu

Levi

Estefen

et al. 2021

J. Marine. Sci. Appl.

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Lower efficiencies induce higher energy costs and pose a barrier to wave energy devices’ commercial applications. Therefore, the efficiency enhancement of wave energy converters has received much attention in recent decades. The reported research presents the double snap-through mechanism applied to a hemispheric point absorber type wave energy converter (WEC) to improve the energy absorption performance. The double snap-through mechanism comprises four oblique springs mounted in an X-configuration. This provides the WEC with different dynamic stability behaviors depending on the particular geometric and physical parameters employed. The efficiency of these different WEC behaviors (linear, bistable, and tristable) was initially evaluated under the action of regular waves. The results for bistable or tristable responses indicated significant improvements in the WEC’s energy capture efficiency. Furthermore, the WEC frequency bandwidth was shown to be significantly enlarged when the tristable mode was in operation. However, the corresponding tristable trajectory showed intra-well behavior in the middle potential well, which induced a more severe low-energy absorption when a small wave amplitude acted on the WEC compared to when the bistable WEC was employed. Nevertheless, positive effects were observed when appropriate initial conditions were imposed. The results also showed that for bistable or tristable responses, a suitable spring stiffness may cause the buoy to oscillate in high energy modes.

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“…So, in the efforts of reducing dependency on depleting fossil fuel resources and utilizing an environmentally friendly resource of energy, it was inevitable to turn to ocean energy for countries with low solar and wind energy. This led authorities and policymakers to assess and invest more in MRE in places like Hawaii, India, Thailand, Brazil, and many others [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Self-Adaptive Global-Best Harmony Search Algorithm-Based Airflow Control of a Wells-Turbine-Based Oscillating-Water Column

M’zoughi

Hernández

et al. 2020

Applied Sciences

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The Harmony Search algorithm has attracted a lot of interest in the past years because of its simplicity and efficiency. This led many scientists to develop various variants for many applications. In this paper, four variants of the Harmony search algorithm were implemented and tested to optimize the control design of the Proportional-Integral-derivative (PID) controller in a proposed airflow control scheme. The airflow control strategy has been proposed to deal with the undesired stalling phenomenon of the Wells turbine in an Oscillating Water Column (OWC). To showcase the effectiveness of the Self-Adaptive Global Harmony Search (SGHS) algorithm over traditional tuning methods, a comparative study has been carried out between the optimized PID, the traditionally tuned PID and the uncontrolled OWC system. The results of optimization showed that the Self-Adaptive Global Harmony Search (SGHS) algorithm adapted the best to the problem of the airflow control within the wave energy converter. Moreover, the OWC performance is superior when using the SGHS-tuned PID.

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Ocean Renewable Energy Potential, Technology, and Deployments: A Case Study of Brazil

Cited by 47 publications

References 147 publications

Breaking-Down and Parameterising Wave Energy Converter Costs Using the CapEx and Similitude Methods

Breaking-Down and Parameterising Wave Energy Converter Costs Using the CapEx and Similitude Methods

Evaluation of the Double Snap-Through Mechanism on the Wave Energy Converter’s Performance

Self-Adaptive Global-Best Harmony Search Algorithm-Based Airflow Control of a Wells-Turbine-Based Oscillating-Water Column

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