Wave Climate Study for Ocean Power Extraction
K. A. Khan, Md. Atiqur Rahman, Md. Nazrul Islam, Mahmuda Akter, Md. Shahidul Islam
Abstract
K. A. Khan, Md. Atiqur Rahman, Md. Nazrul Islam, Mahmuda Akter, Md. Shahidul Islam
Abstract
To harness the Wave power it is needed to study the wave climates. In order to assess an area for wave energy development, the wave climate must be defined. The wave climate describes an Area’s wave height (H) distribution, Wavelength (L) distribution, and Total mean water depth (d). From these parameters, one can compute wave power levels. A significant piece of data to gather from study is that the waves present on the western edge of the continents contain more energy because of the west-to-east winds. An important fact not shown in study is that average wave power is cyclical with winter bringing energy levels up to six times greater than summer.
OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
To harness the Wave power it is needed to study the wave climates. In order to assess an area for wave energy development, the wave climate must be defined. The wave climate describes an Area’s wave height (H) distribution, Wavelength (L) distribution, and Total mean water depth (d). From these parameters, one can compute wave power levels. A significant piece of data to gather from study is that the waves present on the western edge of the continents contain more energy because of the west-to-east winds. An important fact not shown in study is that average wave power is cyclical with winter bringing energy levels up to six times greater than summer.
Key concepts: Wave power, Wind wave, Wave height, Significant wave height, Wavelength, Meteorology, Wind wave model, Environmental science