In order to increase energy demands, researchers completed the algorithm or approach in the Penn State Bureau and Tabriz University to create more efficient wind farms, help generate more revenue generators and renew their energy.
Wind energy is growing and not only in the US, "said Mohamed Rasoul, Electricity Engineering Engineer at Benedes College," The effectiveness of solar panels is less than 25 percent and it is still an ongoing research. On the other hand, wind turbines are much more efficient, and 45 percent of wind energy is transported to electricity. "
While wind turbines are effective, wind farm plates will reduce this effectiveness if not properly elaborated. Builders do not always put turbines at high wind speeds, where they become stronger, said Rossi. The turbine space is also important – because turbines form a game where wind speed decreases, the wind turbines are stronger than what comes after.
According to researchers, designers should provide these factors in the wind speeds and turbine space as well as land size, geography, number of turbines, vegetation, meteorological conditions, building costs and other considerations. .
Balance for all these factors to find optimal placement is difficult, even with the help of mathematical models.
"This is a multi-faceted approach," Rasul said. "We have a function and we want to optimize the various limitations."
The researchers paid attention to one of the approaches called "biogeographical-based optimization". Created in 2008 and inspired by nature, BBO is based on animals that naturally extend to their needs to maximize their environment. By creating a mathematical model from animal behavior, the researchers can calculate the optimal distribution of objects in other scenarios, such as wind turbines.
"Analytical methods require a lot of computation," says Ross. "This BB method will reduce the calculations and give better results, which costs less to be optimally exposed."
Other researchers used the simplified version of BBO's approach in 2017 and 2018 to use a more efficient wind farm, but these simplified versions did not cover all factors affecting the optimal layout.
Pan State University researchers and Tabriz University have completed additional variables, including real market data, surface roughness, which affects wind energy and how many turbines it takes.
The research team also improved BBO's approach to using more realistic realization models for wave calculations – slowly-slow flight speeds created around the wave, such as boat backboards – and tested how sensitive model were other factors such as interest rates, financial incentives, and difference Energy efficiency it costs. They know their results online Clean Production JournalWhich will be published in November.
"It's a more realistic optimization approach than comparatively simplified methods," Rasul said. "It will be better for consumers, manufacturers and networking styles, in large-scale wind farms."
Additional data, such as date meteorological records and manufacturer information, researchers will be able to use a different approach to BBO a wind farm layout optimization, which helps wind farm designers around the world to better utilize their land and generate more energy when the energy of the future khovnebis consumers.
"The end of fossil fuels," said Rashul. "These and future approaches or better optimization approaches, we can use wind energy better."
Materials provided The penny state. Note: Edit content for style and length.