GE Power Digital Solutions
GE Digital Twin
Analytic Engine for the Digital Power Plant
Table of Contents
1. Introduction............................................................................................................................................3
1.1 GE Digital Twin Analytic Overview.......................................................................................................................................................6
1.2 Attributes of GE Digital Twin...................................................................................................................................................................6
2. Examples of Digital Twin Applications..............................................................................................8
2.1 Dispatch Optimizer......................................................................................................................................................................................8
2.2 Efficiency Optimizer....................................................................................................................................................................................9
2.3 Startup Optimizer.........................................................................................................................................................................................9
2.4 Asset Life Optimizer....................................................................................................................................................................................9
3. Outcomes..............................................................................................................................................10
3.1 Performance and Monitoring..............................................................................................................................................................10
3.2 Start Operational Flexibility...................................................................................................................................................................11
3.3 Economic Dispatch...................................................................................................................................................................................11
3.4 System Availability and Reliability.................................................................................................................................................... 12
3.5 Inventory Management......................................................................................................................................................................... 12
4. Enabling Technologies........................................................................................................................13
4.1 Physics Based Models.............................................................................................................................................................................14
4.1.1 Plant Thermodynamics Models.................................................................................................................................................................14
4.1.2 Anomaly Models and Detection Methods............................................................................................................................................14
4.1.3 Lifing Models........................................................................................................................................................................................................15
4.1.4 Dynamic Estimation and Model Tuning.................................................................................................................................................16
4.1.5 Flow and Combustion Models....................................................................................................................................................................16
4.1.6 Configuration Management........................................................................................................................................................................16
4.2 Artificial Intelligence.................................................................................................................................................................................17
4.2.1 Pattern Recognition..........................................................................................................................................................................................17
4.2.2 Learning Models.................................................................................................................................................................................................17
4.2.3 Unstructured Data Analytics.......................................................................................................................................................................18
4.2.4 Multimodal Data Analytics...........................................................................................................................................................................18
4.2.5 Knowledge Networks......................................................................................................................................................................................19
4.3 Next Generation Sensing Technologies.........................................................................................................................................19
4.3.1 Atmospheric/Weather....................................................................................................................................................................................20
4.3.2 Inspection..............................................................................................................................................................................................................21
4.3.3 Plant Component Analytics..........................................................................................................................................................................21
4.4 Digital Thread...............................................................................................................................................................................................24
5. Advanced Controls/Edge Computing for Digital Twin.................................................................25
5.1 Predix Platform............................................................................................................................................................................................25
5.2 Edge — Predix Machine...........................................................................................................................................................................25
5.3 Advanced Controls/Edge Computing Architecture..................................................................................................................25
6. Summary...............................................................................................................................................27
Appendix A.....................................................................................................................................................28
工业4.0创新平台 版权所有 All Rights Reserved, Copyright© 2013- 京ICP备14017844号-3
文档评论
谢谢分享,想看看这个文档
学习一下!感谢分享!
对建设电站数字孪生体具有重要的指导意义。
想看看这个文章,里面的内容很感兴趣
it is very helpful