Wave energy potential assessment in the central and southern regions of the South China Sea

Mirzaei, Ali; Tangang, Fredolin; Juneng, Liew

doi:10.1016/j.renene.2015.02.005

Cited by 66 publications

(28 citation statements)

References 32 publications

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“…Extracting wave energy has been one of the most challenging part. Technologies for harnessing this energy are still in infancy stage [6]. The significant challenge is the difficulty in slow conversion, random and high-force oscillatory motion of sea wave to generate electricity [7].…”

Section: Introductionmentioning

confidence: 99%

Energy Extraction from Low Height Sea Wave in Sarawak near Shore Region

Lee¹,

Ngu²,

Shin³

2019

OJOp

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Generating electricity from wave is predicted to be a new source of renewable energy conversion gaining more attention and is considered in various countries as promising renewable resource. Being surrounded by sea, Malaysia has the advantage of tapping energy from the nearest sea wave. However, Malaysia has low wave climate compared to other regions. On top of that, the technologies available for extracting this energy are still in infancy stage. This study explored the potential of generating electricity from low height wave energy. The recorded average electricity can be generated from the lab scale device which is 0.224 V, 0.175 A and 0.039 W. The data collected from Mukah Beach show that the maximum voltage recorded is 1.021 V, maximum current of 0.86 A and highest power of 0.878 W. By comparing results from both locations, the difference is almost 10-fold which validates the wave maker built in laboratory with 1:10 ratio. The standard deviation of all the outputs is small which indicates that the output generation from low height wave would be consistent. Although the output is small, it could be paired together to make a larger system to generate higher output. This study concludes that the developed lab scale model is useful for harnessing electrical energy from sea wave. The future direction of research would be to optimize the current method to maximize energy capture from sea wave. Another direction for future study is to make a system comprised of a large number of such devices to generate higher output.

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Section: Introductionmentioning

confidence: 99%

Energy Extraction from Low Height Sea Wave in Sarawak near Shore Region

Lee¹,

Ngu²,

Shin³

2019

OJOp

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“…The use of numerical models to assess ocean wave power has been widely adopted on both regional [8][9][10][11] and global scales [12][13][14][15] and has been implemented for several islands, including the Canary Islands, Madeira, and the Azores in the Atlantic Ocean [16][17][18][19], Hawaii and Taiwan in the Pacific Ocean [20][21][22][23], Fuerte Island in the Caribbean Sea [24], and Sardinia and Menorca in the Mediterranean Sea [25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Identifying the Optimal Offshore Areas for Wave Energy Converter Deployments in Taiwanese Waters Based on 12-Year Model Hindcasts

et al. 2018

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Abstract:A 12-year sea-state hindcast for Taiwanese waters, covering the period from 2005 to 2016, was conducted using a fully coupled tide-surge-wave model. The hindcasts of significant wave height and peak period were employed to estimate the wave power resources in the waters surrounding Taiwan. Numerical simulations based on unstructured grids were converted to structured grids with a resolution of 25 × 25 km. The spatial distribution maps of offshore annual mean wave power were created for each year and for the 12-year period. Waters with higher wave power density were observed off the northern, northeastern, southeastern (south of Green Island and southeast of Lanyu) and southern coasts of Taiwan. Five energetic sea areas with spatial average annual total wave energy density of 60-90 MWh/m were selected for further analysis. The 25 × 25 km square grids were then downscaled to resolutions of 5 × 5 km, and five 5 × 5 km optimal areas were identified for wave energy converter deployments. The spatial average annual total wave energy yields at the five optimal areas (S1)-(S5) were estimated to be 64.3, 84.1, 84.5, 111.0 and 99.3 MWh/m, respectively. The prevailing wave directions for these five areas lie between east and northeast.

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“…Due to spatial and temporal variability in renewable energy sources, the development of renewable energy projects requires a thorough analysis of land use issues and lots of constraints [5]. GIS-based analyses have been used to evaluate different categories of renewable energy sources at various research scale, such as global [6,7], national [8][9][10][11][12][13], regional and local scales [14][15][16][17][18][19]. The majority of such applications focus on potential assessment, environmental and ecological impacts, and preferable locations selection.…”

Section: Introductionmentioning

confidence: 99%

GIS‐based multiregional potential evaluation and strategies selection framework for various renewable energy sources: a case study of eastern coastal regions of China

Sun

Wang

et al. 2017

Energy Science & Engineering

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Evaluation of available potential and suitable alternative options for various renewable energy sources (RES) requires the explicit consideration of interregional disparities and site-specific conditions (e.g., environmental, socioeconomic, and resources features) for a larger scale region or country. This paper presents a novel multiregional analytical framework considering interregional suitability difference and inter-RES competitiveness at a given location in order to support efficient and sustainable RES spatial planning strategies. A GIS-based multicriteria evaluation technique was used to identify the geospatial potential/appropriate sites for various RES through combination of satellitederived information, reanalysis data, ground measurements, and statistical data. The composite index (CI) considering location suitability and sustainability of renewable energy technology was then used to compare different RES options, and as a selection criteria to define suitable strategies for each specific region. A real case study concerning the China's eastern coastal 10 provinces of RES planning issue demonstrates the applicability of the proposed approach. The present results illustrate how to coordinate the competing relationships between inter-regions and inter-RES for a given location in the eastern coastal regions of China. This could provide useful insight into plan the long-term RES developing paths and facilitate the determination of optimal energy mix for the other same type area. 124

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Wave energy potential assessment in the central and southern regions of the South China Sea

Cited by 66 publications

References 32 publications

Energy Extraction from Low Height Sea Wave in Sarawak near Shore Region

Energy Extraction from Low Height Sea Wave in Sarawak near Shore Region

Identifying the Optimal Offshore Areas for Wave Energy Converter Deployments in Taiwanese Waters Based on 12-Year Model Hindcasts

GIS‐based multiregional potential evaluation and strategies selection framework for various renewable energy sources: a case study of eastern coastal regions of China

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