Wave energy potential and optimal location and layout of array of wave energy converters in Oman coasts

Project: Research project

Project Details


Due to fossil fuel consumption, global warming and climate change have caused adverse environmental impacts. Currently, renewable energies are a developing industry globally. Various types of energy devices can harness clean and green energy. For this reason, evaluating and positioning a specific area with higher energy density has been a developing study field in recent years. In this research, several environmental data recorded at an offshore buoy were used to propagate the wave conditions through the coastline. Also, different WEC types have been considered to identify the most probable coastline, and the energy production in these regions has been calculated using the Simulating WAve Nearshore (SWAN), the third-generation wave model.

Moreover, to detect the optimal location and layout of an array for the WECs, a genetic-based optimization algorithm, Non-Dominated Sorting Genetic Algorithm (NSGA-III), is implemented on database results from the SWAN model. It is noteworthy that the primary input for the SWAN is wind speed and direction, which has a significant effect on the wave propagation through the coasts. Thus, this input data varies over time and can be considered uncertainty in calculating wave height and period along the coast. The particular random sampling method, Latin Hypercube Sampling (LHS), has been used to generate more input data and consider the input's variability over time.

Key findings

Wave energy, Optimization, Wave energy converters, Wave propagation, Uncertainty
Short titleWave energy potential and optimal location and layout of array of wave energy converters in Oman coasts
StatusNot started
Effective start/end date1/1/2312/31/24


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