Siemens Energy HRSG Digital Twin Simulation Using NVIDIA Modulus and Omniverse
93 751
74.8
NVIDIA1.47 млн
Следующее
10.11.21 – 29 0162:43Популярные
325 дней – 60 2311:00
21.03.23 – 84 9462:48Опубликовано 10 ноября 2021, 17:41
Heat Recovery Steam Generators, or HRSGs, are complex systems that convert the hot gas out a combustion turbine into steam, which then drives a steam turbine to generate electricity. HRSG corrosion is a multi-physics problem with a combination of flow characteristics, water chemistry, and operating conditions.
Using NVIDIA Modulus Physics-ML Framework and NVIDIA Omniverse, we’ve trained high fidelity, physics-based, neural network models, and created a sophisticated digital twin platform with Siemens Energy. By accurately and efficiently predicting corrosion proactively via a digital twin, Siemens Energy estimates huge financial and time savings by reducing inspections, and downtime due to repairs. Learn more: developer.nvidia.com/modulus
#GTC21
Using NVIDIA Modulus Physics-ML Framework and NVIDIA Omniverse, we’ve trained high fidelity, physics-based, neural network models, and created a sophisticated digital twin platform with Siemens Energy. By accurately and efficiently predicting corrosion proactively via a digital twin, Siemens Energy estimates huge financial and time savings by reducing inspections, and downtime due to repairs. Learn more: developer.nvidia.com/modulus
#GTC21
Свежие видео
2 дня – 2225:18
2 дня – 7681:59
4 дня – 5 935 25925:04
5 дней – 72 5838:43
6 дней – 2 4600:47
103 дня – 808 4163:23:13Случайные видео
115 дней – 7 6262:24
210 дней – 16 1700:47
02.12.20 – 65 8311:27
29.04.20 – 80 6261:01
11.04.11 – 10 1192:07
7 дней – 3 81914:43
1 час – 5563:44
1 день – 12 4232:21
2 дня – 4429:50
2 дня – 01:33
2 дня – 2128:36
3 дня – 20 83716:45
