arXiv subjects

Seyed Taghi Omid Naeeni

Publications and source records attributed to Seyed Taghi Omid Naeeni.

3 recordsLinked to original sources

arXiv2021

Ocean Wave Energy Converters Optimization: A Comprehensive Review on Research Directions

Ocean wave energy is one of the latest renewable energy resources, projected to be commercialized and competitive with other energy technologies in the near future. However, wave energy technologies are not fully developed, so various criteria must be optimized to enter the energy market. To optimize the performance of wave energy converters (WECs) components, three challenges are mostly considered: i)Power take-off systems settings (PTO), ii)Geometry parameters of WECs, iii)WECs' layout. As each of them plays a significant role in harnessing the maximum power output, this paper reviews applied optimization techniques in WECs. Furthermore, due to the importance of fidelity and computational cost in numerical methods, we discuss methods to analyze a WEC together with the basics and developments of WECs interactions. Moreover, the most popular optimization methods applied to optimize WEC parameters are categorized, and their key characteristics are briefly discussed. As a result, in terms of convergence rate, a combination of bio-inspired algorithms and local search can outperform the competition in layout optimization. A review of PTO coefficients and the geometry of WECs have emphasized the indispensability of optimizing PTO coefficients and balancing design parameters with cost issues even though it is costly on multi-modal and large-scale problems.

physics.app-ph↗

arXiv2020

Comparative Analysis of Oscillating Wave Energy Converter Performance in Southern Coast of the Caspian Sea

The importance of renewable energy supplies, particularly ocean wave energy, has become undeniable globally in the last two decades. Iran is not an exception due to the long barrier with deep water in the north and south of the country. Because of this potential, the first step is chosen in order to locate a suitable site for installing wave energy converters (WECs). The next step is an applicable design for converters based on conditional and geometrical parameters. In this study, locations with maximum potential are chosen, and conditional parameters are used as input data to design the oscillating converter geometrically. Next, geometric parameters are simulated by the ABAQUS program, and for verifying it, three case study sites in the Caspian sea are considered and designed in the WEC-Sim module in MATLAB to evaluate conditional and geometrical parameters simultaneously. Finally, both results are compared with each other. It is found that the Nowshahr port has more potential than Anzali and Amirabad port, and after considering the proposed design, the converter's productivity raised by 63 percent. It is also written that the flap's optimal width is recommended to be between 18 and 23 meters. Moreover, changes in damping incident forces have a direct relationship with the system's efficiency, and the value of this force is more on Nowshahr in pitch degree of freedom. Finally, according to the software outputs, it can be concluded that the force applied to the power take-off system behind the converter flap, which is the most crucial force in evaluating the performance of the converter as the leading indicator, is derived and compared between studied sites.

physics.app-ph↗

arXiv2020

Investigating Wave Energy Potential in Southern Coasts of the Caspian Sea Using Grey Wolf Optimizer Algorithm

There is a significantly accelerating trend in the application of the marine wave energy converters in recent years. As a result, it is imperative to adopt a suitable point for implementing these systems. Besides, the Caspian Sea, as one of the most important marine renewable energy sources in Asia, is capable of supplying the coastal areas with a large amount of energy. Therefore, areas around nine ports in the southern coasts of the Caspian Sea were selected to measure their wave energy potential. Initially, the amount of energy on these points was measured using the irregular energy theory. It was observed that the wave power was higher in the southwestern areas (within the Kiashahr coast and Anzali port) than the southeastern areas. A new approach was developed to compare these points and measure their fitnesses in supplying the maximum energy using the Grey Wolf optimizer (GWO) algorithm and time history analysis. In this method, the optimal parameters were first extracted from the algorithm for assessing the points within the southern areas of the Caspian Sea. These values were regarded as the assessment indices. Then, the fitness of each point was obtained using the correlation function and the norm vector to present the most optimal position with maximum wave energy exploitation potential. This new approach was validated with analytical data, and its accuracy in predicting and comparing the wave power on different points was approved. Finally, by a side-by-side comparison of the parameters affecting the wave energy, the optimum range of significant wave height and wave energy period was achieved.

cs.NE↗