On the Development of a Metamodel and Design Support Excel Automation Program for Offshore Wind Farm Layout Optimization

Journal of Marine Science and Engineering

Seokheum Baek¹  Joongjin Shin²  Youngwoo Rhee³ 

[1] CAE Team, DNDE Inc., Busan 48059, Korea;Renewable Group, Central Research Institute, Korea Hydro & Nuclear Power Co. (KHNP), Daejeon 34101, Korea;School of Energy Science and Technology, Chungnam National University, Daejeon 34028, Korea;

关键词: metamodel;    moving least squares;    kriging interpolation;    feedforward network;    deep learning;    Keras;   

DOI  :  10.3390/jmse9020148

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown