Wave energy assessment in the China East Adjacent Seas based on a 25-year wave-current interaction numerical simulation

Shi, Xueli; Liang, Bingchen; Du, Shengtao; Shao, Zhuxiao; Li, Shaowu

doi:10.1016/j.renene.2022.09.094

Cited by 23 publications

(2 citation statements)

References 48 publications

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“…With the rapid development of science and technology, wave energy converters have also developed rapidly [43][44][45]. In the future, it is also necessary to utilize some advanced devices and place them in areas with different energy classes to fully test the reliability of the wave energy classification scheme proposed in this study.…”

Section: Conclusion and Prospectsmentioning

confidence: 99%

An Overview and Countermeasure of Global Wave Energy Classification

Zheng

2023

Sustainability

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Wave energy will be an important support to deal with the energy crisis of human society. A scientific energy classification scheme is a prerequisite support for the macro-scale optimized layout, micro-scale accurate site selection and a blueprinting of development routes for wave energy. Based on the indicator considered, this study first divides the global wave energy classification into three stages: preliminary exploration stage, mid-term development stage and relatively mature stage, and then sorts out the main strengths and weaknesses of each stage. It is found that the current classification scheme has six typical bottlenecks such as inconsistency with physical mechanisms, inability to meet the needs of diverse tasks, inapplicability in some seasons/months, etc. To effectively address them, a dynamic adaptive wave energy classification scheme is proposed, which can consider all elements, is suitable for diverse tasks, is available at all times and is applicable to all regions. Based on this, the concepts of absolute and relative classes, a dynamic mapping of wave energy classification, and a future energy classification are proposed, with the expectation of promoting the industrialization and scaling of wave energy.

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Section: Conclusion and Prospectsmentioning

confidence: 99%

An Overview and Countermeasure of Global Wave Energy Classification

Zheng

2023

Sustainability

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“…et.al. evaluated wave-energy characteristics based on the existing knowledge, compared four wave converters, and explored the better wave converter depending on wave characteristics for china [15]. Sun.…”

Section: Introductionmentioning

confidence: 99%

Ocean Wave Energy Harvesting via Scotch Yoke-based Rotational Generation

Hossain¹,

Illias

2022

AJSE

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Harvesting energy from ocean wave is a promising renewable energy source due to its high efficiency, carbon-free, it is not affected by depletion of fossil fuels, and it is replenished constantly. The existing generators used in wave energy harvesting such as linear generator and slider crank mechanism have some limitations, which include lower efficiency and technologically challenging. Thus, in this work, wave energy harvesting technique using rotational generator based on scotch yoke mechanism is proposed. A typical slider crank to convert linear motion into rotational motion is replaced by scotch yoke mechanism to yield higher efficiency. A comparison of the performance of wave energy system between employing slider crank and scotch yoke is made to evaluate the superiority of the proposed mechanism. From the results obtained in this work, it is found that the output voltage of rotational generator employing scotch yoke mechanism is higher compared to that of rotational generator employing slider crank for the same input power. Thus, rotational generator by employing scotch yoke mechanism can be one of the alternative methods for ocean wave energy harvesting.

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A prospect theory extension of data envelopment analysis model for wave‐wind energy site selection in New Zealand

Wang,

Nguyen,

Nhieu

et al. 2023

Manage Decis Econ

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Renewable energy sources have been utilized by countries worldwide, but offshore energy exploitation projects remain highly promising for both the world and New Zealand specifically. The selection of equipment installation locations can be challenging and requires significant investment, prompting the need for optimization in offshore energy exploitation. Wind and wave location (WWL) integrated sites offer a highly potential solution for reducing installation costs and enhancing efficiency in renewable energy exploitation. However, the decision‐making process for selecting equipment locations is crucial and directly affects the outcome. This study aims to evaluate and consider sustainable and effective equipment installation sites based on both quantitative indicators and behavioral psychology of decision making. To achieve this goal, the study utilizes the prospect theory Data Envelopment Analysis (PT‐DEA) model, which builds on PT to analyze and evaluate the effectiveness of offshore installation site selection with consideration for human psychology. By combining the results of quantitative indicators and decision‐making behavior, the study identifies sustainable and effective offshore installation sites, recommending appropriate equipment installation locations WWL. The study is also compared and referenced with relevant plans, projects, and development policies in New Zealand for confirmation.

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Wave energy assessment in the China East Adjacent Seas based on a 25-year wave-current interaction numerical simulation

Cited by 23 publications

References 48 publications

An Overview and Countermeasure of Global Wave Energy Classification

An Overview and Countermeasure of Global Wave Energy Classification

Ocean Wave Energy Harvesting via Scotch Yoke-based Rotational Generation

A prospect theory extension of data envelopment analysis model for wave‐wind energy site selection in New Zealand

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