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K. N. Toosi University of Technology

Khajeh Nasir Toosi University of Technology (KNTU), also known as K. N. Toosi University of Technology, is a public university in Tehran, Iran, named after medieval Persian scholar Khajeh Nasir al-Din Toosi. The university is considered one of the most prestigious, government-sponsored institutions of higher education in Iran. Acceptance to the university is highly competitive and entrance to all undergraduate and graduate programs requires scoring among the top 1% of students in the nationwide university entrance exam.

Country:
Iran

Marine Energy Documents Related to K. N. Toosi University of Technology

Tethys Engineering is a knowledge hub that contains documents and resources about the technical aspects of marine energy development. The table below contains all of the documents in the Tethys Engineering Knowledge Base associated with K. N. Toosi University of Technology.

Total: 6

Title Author Date Sort ascending Type of Content Technology Collection Method Engineering
Impacts of hard marine growth on 2DoF VIV based piezoelectric energy harvesting Rashki, M., Hejazi, K., Tamimi, V. Journal Article Current, Vortex-Induced Vibration Lab Data, Modeling Performance
Predicting Power and Hydrogen Generation of a Renewable Energy Converter Utilizing Data-Driven Methods: A Sustainable Smart Grid Case Study Mirshafiee, F., Shahbazi, E., Safi, M. Journal Article Wave Modeling Performance
Deep Learning for Modeling an Offshore Hybrid Wind–Wave Energy System Manshadi, M., Mousavi, M., Soltani, M. Journal Article Wave Modeling Hybrid Devices, Performance
Impacts of soft marine fouling on the hydrokinetic energy harvesting from one-degree-of-freedom vortex-induced vibrations Rashki, M., Hejazi, K., Tamimi, V. Journal Article Current, Vortex-Induced Vibration Lab Data, Modeling Performance
Linear Permanent Magnet Vernier Generators for Wave Energy Applications: Analysis, Challenges, and Opportunities Jafari, R., Asef, P., Ardebili, M. Journal Article Wave, Pressure Differential, Point Absorber Performance, Power Take Off
Deep Learning for Wave Energy Converter Modeling Using Long Short-Term Memory Mousavi, S., Ghasemi, M., Manshadi, M. Journal Article Wave Modeling Hydrodynamics, Performance
Displaying 1 - 6 of 6 results