Rojin Asadi

Ms. Rojin Asadi

University of Tehran
orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 November 2022 in Energy Reports
Verified
Journal Article
Open access
DGDanial Golbaz
Danial Golbaz
Rojin AsadiRojin Asadi
Rojin Asadi
Erfan AminiErfan Amini
Erfan Amini
HMHossein Mehdipour
Hossein Mehdipour
MNMahdieh Nasiri
Mahdieh Nasiri
Amir H GandomiAmir H Gandomi
Amir H Gandomi

Verified
Journal Article
Open access
PDF file
Erfan AminiErfan Amini
Erfan Amini
Danial GolbazDanial Golbaz
Danial Golbaz
Rojin AsadiRojin Asadi
Rojin Asadi
MNMahdieh Nasiri
Mahdieh Nasiri
OCOguzhan Ceylan
Oguzhan Ceylan
Mehdi NeshatMehdi Neshat
Mehdi Neshat
One of the most encouraging sorts of renewable energy is ocean wave energy. In spite of a large number of investigations in this field during the last decade, wave energy technologies are recognised as neither mature nor broadly commercialised compared to other renewable energy technologies. In this paper, we develop and optimise Power Take-off (PTO) configurations of a well-known wave energy converter (WEC) called a point absorber. This WEC is a fully submerged buoy with three tethers, which was proposed and developed by Carnegie Clean Energy Company in Australia. Optimising the WEC’s PTO parameters is a challenging engineering problem due to the high dimensionality and complexity of the search space. This research compares the performance of five state-of-the-art metaheuristics (including Covariance Matrix Adaptation Evolution Strategy, Gray Wolf optimiser, Harris Hawks optimisation, and Grasshopper Optimisation Algorithm) based on the real wave scenario in Sydney sea state. The experimental achievements show that the Multiverse optimisation (MVO) algorithm performs better than the other metaheuristics applied in this work.

1 October 2021 in Sustainability
Verified
Journal Article
Open access
PDF file
Erfan AminiErfan Amini
Erfan Amini
Rojin AsadiRojin Asadi
Rojin Asadi
Danial GolbazDanial Golbaz
Danial Golbaz
MNMahdieh Nasiri
Mahdieh Nasiri
SNSeyed Taghi Omid Naeeni
Seyed Taghi Omid Naeeni
Mehdi NeshatMehdi Neshat
Mehdi Neshat
The search for renewable energy supplies for today’s global energy demand, particularly ocean wave energy for coastal areas, has become undeniably widespread in the last two decades. The Caspian Sea represents an immense opportunity for using ocean renewable energy, especially considering its long shoreline. In this study, the locations with maximum potential wave energy were chosen in the central, eastern, and western zones of the Caspian Sea’s southern coasts. Accordingly, the wave and bathymetric data were used as the input to calculate the oscillating surge wave energy converter’s flap geometric dimensions based on previous studies. Then, the geometric model was designed, and then the wave energy converters were modeled in the Wave Energy Converter Simulator (WEC-Sim) module in the MATLAB software. Furthermore, eight models in each sea state were simulated to find the best value of the PTO damping coefficient, which led to the highest capture factor. Finally, all the external forces on the WEC’s flap and the converter’s power output results were compared, taking into account the effects of the flap height on the total power output. It was found that Nowshahr port has more potential than the Anzali and Amirabad ports, as the converter’s absorbed power proved to be 16.7 kW/m (Capture factor = 63%) at this site. Consequently, by conducting a comparative analysis between the selected sites, the excitation, radiation damping, and power take-off forces were scrutinized. The results show that the highest applied forces to the converter’s flap occurred at Nowshahr port, followed by the Anzali and Amirabad ports, due to the directional characteristics of the waves at the central coasts of the Caspian Sea.