Energy digital twin, it is a magical technology, by building a virtual system based on mathematical models, accurate modeling and simulation of the energy system, to achieve comprehensive monitoring and control of the operation, management and optimization of the energy system. It is like a mysterious bridge, connecting the energy system in the real world and the first-class system in the digital world, obtaining data in real time, analyzing data, providing decision support, and conducting post-event analysis and evaluation, leading the energy industry to a new chapter of intelligent transformation.
First, energy digital twins can help refine energy systems. It monitors the production, transmission and use of energy in real time through digital modeling, and accurately grasps the operating status and energy consumption of the energy system, like a bright mirror, reflecting the real situation of the energy system. Once any problem is found, the management personnel can find and solve it in time, just like the intimate care of a health care doctor, which improves the efficiency of energy utilization and operation stability.
Secondly, the visualization of the asset overview is a highlight. It places complex asset information based on actual geographical location to build an intuitive asset display platform. Just click on a station to get an in-depth understanding of its operation. In the 2D panel, users can clearly see the number of installed capacity of various stations, the installed capacity and the main information of transmission lines.
Let's take a look at the overall overview, which introduces us to the composition of the entire project through the "3D scene" or "2D configuration" function, around the "central brain" - the centralized control center: wind power, photovoltaic power generation and energy storage power station. The main operating data of wind farms, photovoltaic power stations, substations, energy storage power stations, and urban electricity consumption are displayed at the key nodes of the animation, which are updated all the time to provide the most accurate information for decision-making.
The project overview shows the first-class capacity of the entire wind and solar storage project and the installed capacity of each part of wind, solar and storage, like a clear map, allowing users to intuitively understand the situation of the project. The regional daily load and regional power generation indicators display key indicators such as total load, wind power load, photovoltaic load and power generation in the form of curves and data, helping users understand the change of load over time and conduct statistical analysis.
Finally, we came to the energy storage station management part. The construction and operation of energy storage power stations plays an important role in improving the stability of the power grid, which can reduce or avoid frequency fluctuations caused by power generation equipment. Common energy storage batteries include lithium iron phosphate batteries, supercapacitors, flow batteries, lead-acid batteries, etc. Through the Yuanxin intelligent visiontopo 3D visualization platform, we can seamlessly combine the 2D monitoring data of the energy storage power station with the 3D scene to provide a more intuitive and comprehensive information display.
This is the charm of energy digital twins, which bring unprecedented intelligent transformation to the energy industry with superb scientific and technological means and powerful data analysis capabilities. In this era full of opportunities and challenges, let's embrace the bright future of energy digital twins together!
With CIMpro Twins, zero-based users can efficiently develop digital twins or 3D visualization projects without writing 1 line. The platform supports importing BIM models, game engine native files, and TB-level oblique photography models on the global satellite image basemap under the WGS84 coordinate system, and completely retains the model attributes and material information. Users only need to drag and drop the model library, and the materials in the material library can be easily enriched by combining functions such as brushes, routes, and weather. Combined with UI templates and a variety of common interactive function presets, it helps real-time 3D scene design interaction and other interactive forms of virtual training.
Digital twin grid