Fundamentals of Digital Twins for Solar Plants
Fundamentals of Digital Twins for Solar Plants is a 2-day course where particiipants learn key concepts behind digital engineering and digital twin technology with special focus on use cases in the solar plant industry.
Without question, solar plants are benefiting from digital twin technology.
For example, the digital twin-based analytics engine has significant effects on the performance, ROI, and output of solar power plants.
Close monitoring helps improve the predictability of all the solar panels in the system. With the use of real-time simulation, it becomes easier to assess the present condition of each part of the grid. This way, the operators can do predictive maintainance in the grid.
Analysts report that the digital twin technology developed for solar plants is also effective in closely analyzing how the solar PV cells perform during various conditions. The virtual plant allows administrators to replicate different scenarios and figure out how the upgraded panels would respond to them. This way, the production of more efficient solar PV panels becomes easier.
Digital twin technology has also come to the forefront in forecasting. This is extremely beneficial as it assures optimum solar plant performance and enables the mapping of the solar grid to a virtual program.
Engineers can also use digital twins to see how the equipment and its parts will perform in the future. Engineers can use this data to schedule maintenance activities beforehand.
Simulations are also useful as they show how solar panels would perform in extreme weather conditions. This helps operators adjust the system to increase its reliability.
Solar plants and other renewable energy facilities are also using digital twins for generating what-if scenarios as well as making it easier for operators to detect if a plant is working at the limit of its capabilities.
Additionally, predictive digital twin models can predict the actual output of an operating solar plant as well as detect and predict when an individual module may be about to fail.
Fundamentals of Digital Twins for Solar Plants Course by Tonex
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