Abstract
Renewables have passed the peak of the inflated expectation hype cycle for emerging technologies, but interest in the design of new energy conversion devices is still high due to widespread distributed energy systems for private households. Magnus effect-based wind turbine combines mechanical and electronic engineering that provides a broader wind speed range and potential maximum power point tracking for deeper grid integration. This paper provides a comparative analysis of Magnus effect-based wind turbine simulation models and the development of the numerical model for the maximum power point tracking algorithm. The advanced model contributes to the reduction of the number of actual tests required for the mechatronics system tuning and deals with sustainability-related challenges, such as climate change and the development of new renewable sources of energy.
Highlights
According to the Global Wind Report 2021 of GWEC [1], the wind industry in 2020 was growing by 13% when compared to the previous year
This is happening because climate change requires increased wind energy exploitation for decarbonization procedures, and wind energy is still one of the most popular renewable energy systems, despite the increasing usage of solar energy
Similar solutions may be implemented in neighboring Estonia, where the annual average wind speed further, away from the coast and islands, is not reaching the required levels [4]
Summary
According to the Global Wind Report 2021 of GWEC [1], the wind industry in 2020 was growing by 13% when compared to the previous year. 743 GW of installed wind power helps avoid over 1.1 billion tons of CO2 produced by fossils. This is happening because climate change requires increased wind energy exploitation for decarbonization procedures, and wind energy is still one of the most popular renewable energy systems, despite the increasing usage of solar energy. Traditional wind generators are not suitable for places with an annual average wind speed lower than 5 m/s, and the studies show [2] that in such cases, the needed power of the wind generator will grow too high, which makes the generator economically not feasible. Similar solutions may be implemented in neighboring Estonia, where the annual average wind speed further, away from the coast and islands, is not reaching the required levels [4]. The rapid development and massive implementation of distributed energy solutions are based on an alternative paradigm, which offers the closeness of generators to the consumers, changes
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