Abstract
In this study, a metamodel of an optimal arrangement of wind turbines was developed to maximize the energy produced by minimizing the energy loss due to wakes in a limited space when designing a wind farm. Metamodeling or surrogate modeling techniques are often used to replace expensive simulations or physical experiments of engineering problems. Given a training set, you can construct a set of metamodels. This metamodel provided insight into the correlation between wind farm geometry and the corresponding turbine layout (maximizing energy production), thereby optimizing the area of the wind farm required to maximize wind turbine capacity. In addition, a design support Microsoft Excel program was developed to quickly and easily calculate the annual energy production forecast considering the wake effect, as well as to confirm the prediction suitability, the annual energy production (AEP) analysis result of the wind farm, and the calculation result from existing commercial software were compared and verified.
Highlights
Wind power is widely used as a renewable, clean, and ecological resource that is qualified to lead the energy transition process [1]
According to the Global Wind Energy Council (GWEC), the cumulative amount of offshore wind power generation installed around the world in 2019 was 29.1 GW, and with the increase of offshore wind power complexes, offshore wind power generation is a rapidly growing industry in global electricity production [2]
The location of the met mast used for long-term wind correction, and the location of the Kanthe met mast used for long-term wind correction, and the location of the Kanjeolgot location of the met mast used for long-term wind correction, and the location of the Kanjeolgotautomated automatedweather weatherstation station (AWS), (AWS), which which is is the Administration’s jeolgot automated weather station (AWS), which is the Korea
Summary
Wind power is widely used as a renewable, clean, and ecological resource that is qualified to lead the energy transition process [1]. At the end of 2019, wind power generation of 60 GW was newly installed (54 GW on land and 6.1 GW on sea), and the total cumulative capacity reached 651 GW. More than 23 offshore wind power projects totaling 7.3 GW are under preliminary development, as shown in Figure 1 [2]. A collective operational objective in a wind farm system is to maximize the output power of the entire system [3]. As part of efforts to maximize efficiency and energy production and to reduce installation costs, proper quantities of wind power plants and their deployment remain important issues to be further investigated [4].
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