Design of a prototype ocean current turbine—Part I: mathematical modeling and dynamics simulation

VanZwieten, James H.; Driscoll, Frederick; Leonessa, Alexander; Deane, Grant B.

doi:10.1016/j.oceaneng.2005.10.005

Cited by 63 publications

(16 citation statements)

References 20 publications

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“…Furthermore, Lin and Li developed a three‐dimensional numerical model to investigate the problem of wave‐current‐body interaction. Later, Zwieten et al proposed the “C‐Plane” as a submerged variable depth ocean current turbine that is tethered to the sea floor and uses sustained ocean currents to produce electricity. Zaman and Baddour presented reports on a study of the interaction of a current‐free monochromatic surface wave field with a wave‐free uniform current field in a three‐dimensional flow frame.…”

Section: Current Energymentioning

confidence: 99%

Innovative methodologies in renewable energy: A review

Şen

2019

Int J Energy Res

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Summary This paper is concerned with innovative approaches to renewable energy sources computation methodologies, which provide more refined results than the classical alternatives. Such refinements provide additional improvements especially for replacement of fossil energy usages that emit greenhouse gas (GHG) into the atmosphere leading to climate change impact. Current knowledge gap among each renewable energy source calculation is rather missing fundamentals of plausible, rational, and logical explanations for the interpretation of results. In the literature, there are rather complicated and mechanically applicable methodologies, which require input and output measurement data match with missing physical explanations. The view taken in this review paper is to concentrate on quite plausible, logical, rational, and effectively applicable innovative energy calculation methodologies with simplistic fundamentals. For this purpose, a set of renewable energy methodological approaches is revisited with their innovative structures concerning solar, wind, hydro, current, and geothermal energy resources. With the increase in the renewable energy utilizations to combat the undesirable impacts of global warming and climate change, there is a need for better models that will include physical environmental conditions and data properties in the probabilistic, statistical, stochastic, logical, and rational senses leading to refined and more reliable estimations with application examples in the text. Finally, new research directions are also recommended for more refined innovative energy system calculations.

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Section: Current Energymentioning

confidence: 99%

Innovative methodologies in renewable energy: A review

Şen

2019

Int J Energy Res

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“…As shown by Cornett, it is necessary to consider the disperse nature of data in the assessment of power plant locations [53]. The stable energy density is important to energy collection and conversion [54]. The stabilities of wind and wave energy are calculated by the equation of coefficient of variation (abbreviated as C v ) in different seasons.…”

Section: Coefficient Of Variationmentioning

confidence: 99%

10-Year Wind and Wave Energy Assessment in the North Indian Ocean

et al. 2019

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With increasing energy shortages and global warming, clean and renewable energy sources, such as wind and wave energy, have gained widespread attention. In this study, the third-generation wave model WAVEWATCH-III (WW3) is used to simulate wave height in the North Indian Ocean (NIO), from 2008 to 2017, using the wind data from the European Centre for Medium-Range Weather Forecasts Renalysis datasets. The simulated results show good correlation with data obtained from altimetry. Analysis of wind and wave energy resources in the NIO is carried out considering energy density, the exploitable energy, the energy density stability, and monthly and seasonal variability indices. The results show that most areas of the NIO have abundant wind energy and at the Somali Waters are rich in wave energy resources, with wind energy densities above 200 W/m2 and wave energy densities above 15 KW/m. The most energy-rich areas are the Somali Waters, the Arabian Sea, and the southern part of the NIO (wind energy density 350–650 W/m2, wave energy density 9–24 KW/m), followed by the Laccadive sea (wind energy density 150–350 W/m2, wave energy density 6–9 KW/m), while the central part of the NIO is relatively poor (wind energy density less than 150 W/m2, wave energy density below 6 KW/m).

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“…As a result, it also affects the cost significantly [22,23]. In order to determine the stability of the China Sea wave [14].…”

Section: Stability Of the Wave Energy Densitymentioning

confidence: 99%

Wave energy analysis based on simulation wave data in the China Sea

Gao¹,

Yongfu

Sui³

et al. 2018

IOP Conf. Ser.: Earth Environ. Sci.

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Abstract. In the current world, where human beings are severely plagued by environmental problems and energy crisis, the full and reasonable utilization of marine new energy resources will contribute to alleviating the energy crisis, contributing to global energy-saving, emission reduction and environmental protection, thus to promote sustainable development. In this study, we firstly simulated a 10-year (1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000) 6-hourly wave data of the China Sea, by using the Simulating WAves Nearshore (SWAN) wave model nested with WAVEWATCH-III (WW3) wave model forced with Cross-Calibrated, Multi-Platform (CCMP) wind data. Considering the value size and stability of the wave energy density, we analyzed the overall characteristics of the China Sea wave energy with using the simulation wave data. Results show that: (1) The wave energy density in January and October is distinctly higher than that in April and July. The large center of annual average Wave energy density is located in the north of the South China Sea (of about 12-16 kW/m). (2) Synthetically considering the value size and stability of the wave energy density and stability, the energy-rich area is found to be located in the north region of the South China Sea.

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Design of a prototype ocean current turbine—Part I: mathematical modeling and dynamics simulation

Cited by 63 publications

References 20 publications

Innovative methodologies in renewable energy: A review

Innovative methodologies in renewable energy: A review

10-Year Wind and Wave Energy Assessment in the North Indian Ocean

Wave energy analysis based on simulation wave data in the China Sea

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