1. Long life
A long-life energy storage power station has more discharge capacity throughout its life cycle, so it can effectively reduce the investment cost of the power station throughout its life cycle.
For the construction and operation of large-scale electrochemical energy storage power stations, long-life batteries play a vital role.
Batteries are key components of energy storage systems. The bottleneck faced by large-scale applications in the field of energy storage is mainly the short cycle life of batteries. If the battery is replaced frequently, a lot of manpower and expenses will be invested in dismantling the battery. Therefore, the investment cost of the power station will be too high, the actual operating income will be low, and the return on investment in the entire life cycle will be insufficient, which is not conducive to promotion.
2. Low cost
As a large-scale electric energy storage technology, the cost of the energy storage body should be as low as possible. For electrochemical energy storage technology, the material cost basically determines the cost of the energy storage, and the cost of chemical elements determines the lowest cost of the battery. The level that can be achieved and the cost of these chemical elements are closely related to their stocks in the natural environment.
3. High security
At a time when the energy storage industry is competing for development, building a highly safe and highly reliable electrochemical energy storage industry is not only an important way to achieve the global carbon neutrality goal, but also a guarantee for creating a new power system and a need for safe and stable operation of the future power grid.
4. Intelligent operation
While new energy is developing rapidly, it is also facing the problem of how to solve the problem of good maintenance and control.
The operation and maintenance model of new energy enterprises (wind power, photovoltaic) is passive, high cost and low efficiency. Management and control systems are independent of each other, the value of massive data is not fully exploited, the phenomenon of information islands is serious, the degree of informatization application is low, the operation and maintenance methods are too single, the operation and maintenance team has poor stability and low professional level, the data quality is not guaranteed, the decision-making analysis is not in-depth enough, and the decision-making Instructions are lagging behind.
In response to the above problems, the intelligent operation and maintenance model based on artificial intelligence and big data analysis technology can effectively realize intelligent early warning diagnosis, fault location, health management and operation evaluation analysis of equipment to solve the operation and maintenance problems of new energy enterprises.
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