期刊论文详细信息
Energy Informatics
Potentials of game engines for wind power digital twin development: an investigation of the Unreal Engine
article
Sørensen, Jonas Vedsted1  Ma, Zheng1  Jørgensen, Bo Nørregaard1 
[1] SDU Center for Energy Informatics, Maersk Mc-Kinney Moller Institute, University of Southern Denmark
关键词: Digital twin;    Wind energy;    Game engine;    Unreal Engine;    Simulation;   
DOI  :  10.1186/s42162-022-00227-2
来源: Springer
PDF
【 摘 要 】

Digital twin technologies have become popular in wind energy for monitoring and what-if scenario investigation. However, developing a digital representation of the wind is challenging, especially due to the digital twin platform constraints. Game engines might be possible to solve this issue, especially since game engines have been used for product design, testing, prototyping, and also digital twins. Therefore, this study investigates the potential of developing a digital twin of wind power in the Unreal game engine. A case study of two types of wind turbines (Vestas V164-8 and Enercon E-126 7.580) and one location (Esbjerg, Denmark) is chosen for this study. The digital twin includes the environment with historical wind data and the visual representation of the wind turbine with a wind power production model and the estimated production in the given wind conditions of the area. The results show that game engines are viable for building entire digital twins where a realistic graphical user interface is required. Unreal Engine 5 provides the tools for modelling the landscape, surrounding water, and lighting. In addition, the Unreal Engine ecosystem provides vast amounts of content, such as 3D assets and game logic plugins, easing the digital twin development. The results prove that digital twins built in Unreal Engine 5 have great potential development of digital twins and user interfaces for communicating with a digital twin. The developed digital twin allows for further extension to benefit future digital twins utilizing wind turbines.

【 授权许可】

CC BY   

【 预 览 】
附件列表
Files Size Format View
RO202307070002139ZK.pdf 4070KB PDF download
  文献评价指标  
  下载次数:12次 浏览次数:4次