Marine renewable energy project: The environmental implication and sustainable technology

Cui, Ying; Zhao, Huida

doi:10.1016/j.ocecoaman.2022.106415

Cited by 12 publications

(4 citation statements)

References 78 publications

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“…Subsequently, the As shown in Table 4, when there are five blades, the device's pendulum oscillation speed is higher, averaging 0.161 milliseconds, and the instantaneous output power is comparatively high at this time, second only to the six-bladed device. The number of blades has less of an impact on the generator's overall pitching displacement and pitching speed [30].…”

Section: Discussionmentioning

confidence: 99%

“…In other words, a sufficient increase in the number of blades can increase the pressure differential between the two sides of the leading edge of the blades, increase the size of the high-pressure differential zone, and consequently ena- As shown in Table 4, when there are five blades, the device's pendulum oscillation speed is higher, averaging 0.161 milliseconds, and the instantaneous output power is comparatively high at this time, second only to the six-bladed device. The number of blades has less of an impact on the generator's overall pitching displacement and pitching speed [30].…”

Section: Numerical Study Of the Effect Of Structural Parameters On Th...mentioning

confidence: 99%

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Parametric Design of a New Float-Type Wave Energy Generator and Numerical Simulation of Its Hydrodynamic Performance

Zhang,

2023

JMSE

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A novel float-type device for wave energy power generation, designed specifically for offshore wave environments, is introduced as an innovative technology in wave energy utilization. Herein, we present the design concept, structural composition, and energy conversion process of the device, and conduct mathematical modeling and theoretical research on its kinematic and dynamic characteristics. At the same time, we use a numerical wave pool based on the STAR-CCM+ boundary wave making method and damping dissipation method to analyze the motion response and output power of the wave energy generator in a five-order Stokes wave environment within one wave cycle and the entire operating cycle. Finally, in order to develop the best design strategy, we study the effect of changing the structural parameters of the power generation device on the hydrodynamic performance of the device.

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Section: Discussionmentioning

confidence: 99%

Section: Numerical Study Of the Effect Of Structural Parameters On Th...mentioning

confidence: 99%

Parametric Design of a New Float-Type Wave Energy Generator and Numerical Simulation of Its Hydrodynamic Performance

Zhang,

2023

JMSE

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“…Within the realm of renewable energy impact assessment, time series forecasting stands as a pivotal domain of research (Acaroğlu and Güllü, 2022). Marine renewable energy exhibits pronounced seasonal and annual fluctuations, influenced by climatic conditions and natural events (Cui and Zhao, 2023). Time series forecasting methodologies serve as indispensable tools for unraveling these oscillations, furnishing robust support for the planning and administration of renewable energy endeavors.…”

Section: Introductionmentioning

confidence: 99%

Assessing the impact of marine renewable energy in Portugal: an analysis based on ACO-TCN-attention

Song,

Gao

2024

Front. Energy Res.

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As the global demand for renewable energy continues to increase, marine renewable energy has attracted much attention as a potential source of clean energy. As a country with rich marine resources, Portugal’s marine environment is of great significance to the development of marine energy. However, the current impact assessment of marine renewable energy projects has shortcomings such as incomplete understanding of ecosystems, incomplete consideration of fishery resources and socioeconomic impacts, lack of accuracy, and failure to consider geographical differences, thus lacking comprehensiveness and accuracy. To this end, we propose the ACO-TCN-Attention model to address these shortcomings in current impact assessments of marine renewable energy projects. The goal of this model is to provide a more comprehensive, precise and nuanced analysis to better understand the impacts of these projects on ecosystems, socio-economics and local communities. “ACO-TCN-Attention” is a model architecture that combines multiple machine learning and deep learning concepts. It includes three main parts: Ant Colony Optimization (ACO), Temporal Convolutional Network (TCN) and Attention mechanism. The ant colony optimization model simulates the behavior of ants and is used to optimize the operating strategies of marine renewable energy projects. Temporal Convolutional Network specializes in processing time series data and improves the prediction accuracy of the model. The attention mechanism allows the model to dynamically focus on the pieces of information that are most important for the current task. Extensive experimental evaluation shows that our method performs well on multiple datasets, significantly outperforming other models. This research is of great significance as it provides new methods and tools for improving the environmental impact assessment of marine renewable energy projects. By understanding the potential impacts of projects more accurately, we can better balance the relationship between the development of renewable energy and environmental protection, supporting the achievement of the Sustainable Development Goals. This research also provides useful guidance and reference for future research and practice in the field of marine energy.

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“…Climate change has become a scientific and political hot topic where the mitigation of carbon emissions is considered a top priority with investments poured into renewable energy projects around the World [ [1] , [2] , [3] ]. As society has become technology-dependent with consumers regularly purchasing new electrical devices and manufacturers frequently producing more energy efficient electrical goods [ 4 , 5 ], energy consumption was seen to decrease during certain years and rebound in other years particularly during the COVID-19 pandemic where much of the population around the world worked and studied from home [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Development and application of an urban solar photovoltaic opportunity mapping tool

McGhee,

Clarke,

Svehla

2024

Heliyon

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Marine renewable energy project: The environmental implication and sustainable technology

Cited by 12 publications

References 78 publications

Parametric Design of a New Float-Type Wave Energy Generator and Numerical Simulation of Its Hydrodynamic Performance

Parametric Design of a New Float-Type Wave Energy Generator and Numerical Simulation of Its Hydrodynamic Performance

Assessing the impact of marine renewable energy in Portugal: an analysis based on ACO-TCN-attention

Development and application of an urban solar photovoltaic opportunity mapping tool

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