The improvements in emerging solutions, for example 5G, impair computing, and large data, accelerate digital transformation. Like a data-intensive and technology-driven business, the financial industry is also having significant disruptions motivated by digital technologies.
Building reliable, energy-efficient data centers with a lowered PUE is now an unstoppable pattern in the monetary industry as the world moves towards the carbon neutrality goal.
In line with China? h? dual-carbon? goal, typically the Shanghai Stock market (SSE) shifts towards durability by building a natural data center to lower its environmental influence. The SSE accomplished the Jin Qiao Data Center project, the largest data center with typically the highest amount of vitality efficiency in Most of asia? s financial field, in 2019 throughout Shanghai.
Efficient air conditioning solution is key for an alternative data center
Serving as the main procedures center of the particular SSE as well as the hosting service facility regarding major institutions, typically the Jin Qiao info center houses 186, 000 racks and even consumes over a hundred and twenty million kWh of electricity every year, comparable to the total annual electricity consumption intended for 50, 000 homes in China. Tips on how to increase the energy efficiency and decrease carbon footprint regarding the data middle had been an urgent task for the operator.
data center ups design , ventilation in addition to air conditioning (HVAC) system can always be energy intensive, data processing for 75% of the energy consumed by the info center. The primary reason would be that the HEATING AND COOLING system has very long links and intricate structures. System components, which includes chillers, water pushes, and cooling rises, are independent involving each other with an impact seeing that a whole within the HVAC system. Increasing the energy efficiency of hardware on your own cannot meet the requirements in the ever-changing IT load and external environment.
iCooling@AI: Smart cooling answer to reduce PUE by 13% each year
To ensure the particular reliable and successful operation from the files center, the SSE selected Huawei’s iCooling@AI solution, which enables data centers in order to automatically optimize vitality efficiency. To the wise cooling technology relies upon typically the AI algorithm to be able to determine the interactions involving the PUE and even the data associated with different features, and after that predict a PUE value. With typically the PUE value, the data center can certainly make optimizations needlessly to say based on the current climate plus load conditions to achieve the energy-saving target.
Inside one minute, typically the AI system can find the perfect insurance plan from 1 ) some million parameter combinations and predict the particular global power intake distribution under the policy.
Within one minute, the AI energy-saving algorithm might identify the perfect variable combination underneath the recent outdoor conditions plus IT load from 1. 4 million combinations, work out an optimal established of instructions, issue them, and offer feedback on what took place.
Compared with typically the air conditioning of traditional data centers, iCooling@AI enables visualization associated with cooling links and even connections between diverse equipment and systems. In addition , iCooling@AI accessories the transformation by manual adjustment to be able to intelligent collaboration. The annual average PUE with the data middle decreased by 13%, plus the project was the winner the National Cloud Computing Center Science and Technology Honor.
The Jin Qiao Data Center regarding Shanghai Stock Swap is Huawei’s initial attempt to integrate iCooling@AI into some sort of hyper-scale data middle in the financial industry. Later on, Huawei may help Shanghai Share Exchange drive sustainable development by mutually building a green and low-carbon info center model intended for the financial market to contribute to green finance.
