Fundamentals of Digital Twins for Solar Plants
Fundamentals of Digital Twins for Solar Plants is a 2-day training course that covers the key principles of Digital Twins and how it relates to integration of digital engineering, modeling and simulations, AI/ML, 3D and integration for solar plants and green energy service and product-related data and systems. The concept of digital twins is a response to the increasing digitalization of service and product development, production, and digital products worldwide.
Digital twins are virtual replicas of physical systems, devices, services, assets, or processes used to run real time simulations. Digital twins are designed to analyze events, if scenarios detect and prevent operational and production issues, predict performance, and optimize processes through real-time analytics to deliver and optimize business value.
A digital twin is a virtual representation of an object or system that spans its lifecycle, is updated from real-time data, and uses simulation, machine learning and reasoning to help decision-making.
Program Outline
Digital Twin 101
- Key concepts behind digital engineering and digital twin
- History of digital twin technology
- How does a digital twin work?
- Virtual representation of an object or system that spans its lifecycle
- Digital twin use cases and applications
- Advantages and benefits of digital twins
- Key enabling technologies
- Modeling and simulation 101
- Data science and data analytics 101
- AI/ML 101
- Digital twins vs. simulations
- Integration of 5G, IoT, and VR/AR
Types of Digital Twins
- Capability twin
- System of Systems (SoS) twin
- System or Unit twins
- Subsystem twins
- Component twins/Parts twins
- Asset twins
- Process twins
- Performance measures
- Master, the shadow and the twin
- Related digital twin solutions
Solar Plant Digital Twin Market and Industries
- Why do solar Asset Managers need Digital Twin?
- A Digital Twin for solar power plant system
- Improving or optimizing decision making processes
- Effective use of Digital Twin can help solar asset
- Detect early patterns of system underperformance
- Prevent equipment failures, poor system design and minimize operating costs
- Example of PV plant’s current performance with its expected performance drawn from its digital copy
- Using real-time plant data
- Irradiance and temperature
- Performance and losses analysis
- Uptime analysis
- Using SCADA and PLC data
- How do you make a solar Digital Twin?
- Set up a Digital Twin for your solar power plant?
Practical Applications
- Case studies
- Workshops
- Build your own solar plant digital twin using Tonex framework