The great need to use electricity at present and to ensure its continuity in future requires finding renewable and sustainable sources; the best of those sources are renewable energy sources such as wind energy, solar energy, and tides. All research focuses on studying those sources for each region to give the complete database that can rely upon in future to build projects generating electric power according to accurate scientific studies, specifically in areas far from the main electricity grid, such as remote islands, including Socotra Island, which, like other Yemeni cities, suffers from a severe crisis to access electricity. Energy storage is a natural thing when using renewable energy due to seasonal change, daily and hourly in these sources; one of the best ways of storing is the production and storage of hydrogen for use at peak periods or any other benefits. Economic information is still incomplete about the production of electricity by hydrogen, especially in the Middle East region, which considers that the primary source of electricity is only fossil fuels. This paper gives a study of the level of tides on Socotra island, and a technical study of the possibility of producing electricity using this renewable source according to its efficiency, and an economic assessment of electricity generation by (Tidal-Hydrogen) for this island.
The best sources for energy production are renewable energy sources such as wind, solar, tidal energy, and other energy sources, which ensure the sustainability of power generation for life and even avoid the problems producing from fossil fuels combustion, which leads to air pollution, climate change, and many problems, but the main problem that facing Especially in developing countries, such as Yemen is the lack of a database and sufficient information to know the available capabilities for electricity production by natural resources that region possesses, especially the remote islands from the main power plant, which are powered by diesel and gas generators. In this paper, we will provide and list all-natural resources that possessed Socotra island, and its analysis to provide a clear vision that enables exploitation of these resources in the future on a clear scientific basis, as the study shows that mean wind speed is approximately 9.8 m/s, solar radiation reaches 180 kWh/m2, all these values confirm island has the total ability to generate electricity from these sources with high efficiency.
The aim of the study is to find the right architecture of the NARX neural network, in order to perform the daily prediction of the maximum wind speed of Laayoune city. We relied on the Levenberg-Marquardt optimization algorithm. The RMSE error metric showed that NARX-SP outperforms NARX-P.
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