| Autor: |
Yee Heng, Teh, Jian Ding, Tan, Choe Wei Chang, Clifford, Jian Ping, Tan, Choon Yian, Haw, Dahari, Mahidzal |
| Zdroj: |
Energy Reports; December 2022, Vol. 8 Issue: 1, Number 1 Supplement 16 p277-282, 6p |
| Abstrakt: |
The wind energy sector has grown significantly over the past several decades as enabling technologies advance. One of the major reasons of such rapid growth is due to the renewability of this eco-friendly energy source that reduces carbon footprints worldwide. The overall costs of large scale wind energy conversion systems can be extremely high, which is deemed to be one of the main dilemmas stakeholders have to face with during the design phase. Generators for large scale wind turbines are generally heavy and huge in sizes, which translate into a hike in upfront and maintenance costs. Design optimizations are crucial in wind turbine generator. Multi-objective optimization is a general approach to the design of the generator because there are always tradeoffs in considerations. In many studies, optimizations are applied on mathematical models and the results are verified by means such as Finite Element Method (FEM). This review paper captures the fact that recent advancements in design optimization of Permanent Magnet Synchronous Generator (PMSG) for wind turbine systems are able to deliver tangible benefits to the renewable energy technology (RET) industry as a whole. Different design approaches, objectives applied in optimization, key variables, and optimization algorithms across different research are also presented in this paper. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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