1. Characteristics of big data transformer technology
The design optimizes the losses of the iron core and winding for uninterrupted long-term operation throughout the year, supporting continuous full load operation 7 × 24 hours a year. The temperature rise is stable under long-term light load/full load alternating conditions, and the aging rate is significantly reduced, adapting to the IDC's year-round uninterrupted load characteristics.
High fire safety level oil-free epoxy cast dry structure, non combustible, non explosive, no leakage, no risk of fuel fire in case of failure, meets Class A fire protection regulations for data centers, can be installed in the load center of the computer room, shortens power supply distance, and reduces line loss.
Ultra low noise, noise reduction structure with double-layer shock-absorbing base and iron core fastening shock-absorbing structure, strictly controlling operating noise to avoid noise interference with machine room operation and precision equipment.
Ultra high insulation reliability, low partial discharge vacuum integral casting process, extremely low partial discharge, long-term insulation stability under constant temperature and humidity environment in the computer room, moisture-proof and dustproof, and daily maintenance free.
Strong overload and backup redundancy capabilities, with a 40% increase in short-term overload capacity under forced air cooling, suitable for sudden expansion and instantaneous impact loads in computer rooms;
Intelligent integrated temperature control monitoring winding pre embedded with multiple PT100 temperature measuring elements, supporting access to the computer room BMS and distribution monitoring platform, real-time uploading of winding temperature, over temperature alarm, high temperature trip, and linkage with the computer room fire protection system.
The energy efficiency level is high, and high-grade silicon steel sheets are used for energy conservation and consumption reduction. The no-load loss is significantly reduced, and the annual no-load energy consumption of the data center is significantly reduced, which meets the energy-saving indicators of green data centers.
2. Product features
2.1 Design standards: GB, IEC
2.2 Capacity (MVA): 0.4 to 10
2.3 Voltage (KV): 10-35
2.4 Cooling method: AN/AF
2.5 Installation location: underground distribution room of data center, dedicated distribution mezzanine for computer room, IDC indoor high-voltage distribution room, independent substation in cloud computing park, only applicable to indoor temperature controlled ventilation room.
2.6 Application scenarios: large Internet data center IDC, cloud computing power base, supercomputing center, urban intelligent computing center, edge computer room, operator communication room, AI computing power industrial park, financial data disaster recovery center.
2.7 Insulation level: F/H
2.8 Operating environment:
Environmental temperature: -35 ℃ to+40 ℃ (controlled by constant temperature in the computer room);
Altitude: ≤ 1000m, high-altitude computing power bases can strengthen insulation and increase heat dissipation;
Atmospheric conditions: constant temperature and humidity in the computer room, relative humidity of 40%~70%, no condensation, no dust, no corrosive gases;
Installation conditions: Indoor forced ventilation/air conditioning cooling, base equipped with shock-absorbing pad, standard IP20 protective shell to prevent accidental contact with live parts during operation and maintenance.
2.9 Types:
By iron core material: ordinary silicon steel big data dry-type transformer, amorphous alloy energy-saving big data transformer;
By cooling method: AN natural cooling type, AF forced air cooling type;
According to protection level: IP00 open type, IP20 computer room closed type (IDC mainstream);
By voltage regulation method: Non excitation voltage regulation NLTC (industry standard), on load voltage regulation OLTC (large computing power parks with large voltage fluctuations in the power grid)
