The innovative developments in emerging systems, like 5G, cloud computing, and large data, accelerate electronic digital transformation. Being a data-intensive and technology-driven industry, the financial business is also having significant disruptions powered by digital technology.
Building reliable, high efficiency data centers having a lowered PUE has become an unstoppable pattern in the economic industry as the particular world moves towards the carbon neutrality goal.
In line with China? s i9000? dual-carbon? goal, typically the Shanghai Stock Exchange (SSE) shifts towards sustainability by building a green data center to lower its environmental impact. The SSE finished the Jin Qiao Data Center task, the largest data center with the particular highest amount of strength efficiency in Most of asia? s financial sector, in 2019 in Shanghai.
Efficient air conditioning solution is essential for a green data center
Helping as the main operations center of typically the SSE plus the web hosting service facility regarding major institutions, typically the Jin Qiao info center houses 186, 000 racks and consumes over 120 million kWh of electricity annually, comparable to the gross annual electricity consumption with regard to 50, 000 homes in China. How you can increase the vitality efficiency and reduce carbon footprint associated with the data core had been a good urgent task for the operator.
The Heating, ventilation and even air conditioning (HVAC) system can end up being energy intensive, sales for 75% involving the energy ingested by the data center. The major reason would be that the HVAC system has lengthy links and sophisticated structures. ups system , which includes chillers, water penis pumps, and cooling rises, are independent of each other while having an impact like a whole within the HVAC system. Improving the energy effectiveness of hardware alone cannot meet typically the requirements from the evolving IT load and even external environment.
iCooling@AI: Smart cooling answer to reduce PUE by 13% annually
To ensure typically the reliable and effective operation of the information center, the SSE selected Huawei’s iCooling@AI solution, which enables data centers in order to automatically optimize energy efficiency. To the wise cooling down technology depends on the AI algorithm to determine the associations between your PUE plus the data of different features, after which predict a PUE value. With the particular PUE value, the particular data center can make optimizations as you expected based on typically the current climate plus load conditions to achieve the energy-saving target.
In one minute, typically the AI system may find the perfect insurance plan from 1 . 4 million parameter mixtures and predict typically the global power consumption distribution under the policy.
Within 1 minute, the AJAI energy-saving algorithm may identify the optimal unbekannte combination within the recent outdoor conditions in addition to IT load coming from 1. 4 mil combinations, work out an optimal fixed of instructions, matter them, and provide opinions on what took place.
Compared with the particular cooling system of conventional data centers, iCooling@AI enables visualization associated with cooling links and even connections between distinct equipment and techniques. Additionally , iCooling@AI accessories the transformation through manual adjustment in order to intelligent collaboration. Typically the annual average PUE with the data centre decreased by 13%, as well as the project was the winner the National Fog up Computing Center Science and Technology Honor.
The Jin Qiao Data Center regarding Shanghai Stock Trade is Huawei’s very first attempt to assimilate iCooling@AI into some sort of hyper-scale data middle within the financial sector. Later on, Huawei may help Shanghai Share Exchange drive environmentally friendly development by mutually building a green and low-carbon info center model regarding the financial business to help with eco-friendly finance.