數位雙胞胎的風力發電所的先進營運 & 維修的考察
Advancing O&M Insights for Wind Plants with Digital Twins
|出版日期||內容資訊||英文 14 Pages; 3 Tables, Charts & Figures
|數位雙胞胎的風力發電所的先進營運 & 維修的考察 Advancing O&M Insights for Wind Plants with Digital Twins|
|出版日期: 2019年03月28日||內容資訊: 英文 14 Pages; 3 Tables, Charts & Figures||
Predictive analytics and digital twin modeling are sweeping across many industries, including the wind sector. Wind asset owners seek to improve power plant performance and manage and minimize operations and maintenance costs. Wind turbines are highly instrumented machines, lending themselves well to collecting vast amounts of data that can inform and refine digital twin models. This report focuses on digital twin technology, which are digital replicas of wind turbines, turbine subcomponents and even entire wind farms.
Digital copies of operating wind turbines can enable asset owners to virtually and remotely monitor, test, and predict the performance and condition of turbines and subcomponents and carry out performance and reliability tests in a virtual environment. This empowers asset owners and wind turbine OEMs operating wind turbines to predict and plan for faults and optimize performance of their assets. Digital twin models enable market players to make better informed decisions, evaluate remaining asset life, and strategize for future investments.
This Navigant Research report discusses wind sector-specific offerings, trends, and intensifying vendor landscape. The analysis examines drivers and barriers for wind turbine asset owners, wind turbine OEMs, and software vendors that are increasingly active in this space. Capacity trends and market dynamics are projected through 2028. The report also discusses specific market players using digital twin technology and provides recommendations for wind market participants.