SSE Jin Qiao Information Center: Using iCooling@AI to Explore Green Finance

The improvements in emerging technologies, for instance 5G, fog up computing, and huge data, accelerate electronic digital transformation. Like a data-intensive and technology-driven business, the financial industry is also going through significant disruptions led by digital technology.

Building reliable, energy-efficient data centers using a lowered PUE has become an unstoppable craze in the economic industry as the particular world moves in the direction of the carbon neutrality goal.

In range with China? s? dual-carbon? goal, typically the Shanghai Stock market (SSE) shifts towards sustainability by building an environmentally friendly data center to lower its environmental influence. ups power system accomplished the Jin Qiao Data Center job, the largest information center with the highest level of strength efficiency in Most of asia? s financial sector, in 2019 inside Shanghai.

Efficient cooling solution is essential for an environment friendly data center

Serving since the main businesses center of typically the SSE as well as the internet hosting service facility regarding major institutions, the Jin Qiao files center houses 186, 000 racks in addition to consumes over 120 million kWh of electricity annually, comparative to the total annual electricity consumption with regard to 50, 000 homes in China. The way to increase the power efficiency and reduce carbon footprint involving the data middle had been an urgent task with regard to the operator.

The Heating, ventilation in addition to air conditioning (HVAC) system can become energy intensive, sales for 75% of the energy ingested by the info center. The primary reason is usually that the HEATING AND COOLING system has very long links and complex structures. Products, which include chillers, water pushes, and cooling rises, are independent regarding each other while using an impact while a whole within the HVAC system. Improving the energy performance of hardware by yourself cannot meet the requirements with the ever-changing IT load and external environment.

iCooling@AI: Smart cooling option to reduce PUE by 13% yearly

To ensure the reliable and efficient operation with the data center, the SSE selected Huawei’s iCooling@AI solution, which allows data centers in order to automatically optimize power efficiency. The smart cooling technology depends on the particular AI algorithm in order to determine the relationships between your PUE plus the data of different features, and after that predict a PUE value. With the PUE value, the particular data center can easily make optimizations as you expected based on the particular current climate plus load conditions to own energy-saving target.

Within just one minute, the particular AI system will find the perfect plan from 1 . 4 million parameter combos and predict typically the global power ingestion distribution under the particular policy.

Within one particular minute, the AI energy-saving algorithm can identify the optimal unbekannte combination under the latest outdoor conditions and even IT load from 1. 4 mil combinations, work out and about an optimal arranged of instructions, matter them, and provide feedback on what happened.

Compared with the particular cooling system of classic data centers, iCooling@AI enables visualization involving cooling links plus connections between diverse equipment and devices. In addition , iCooling@AI implements the transformation by manual adjustment to intelligent collaboration. Typically the annual average PUE in the data middle decreased by 13%, and the project was the winner the National Fog up Computing Center Research and Technology Merit.

The Jin Qiao Data Center regarding Shanghai Stock Change is Huawei’s 1st attempt to incorporate iCooling@AI into some sort of hyper-scale data center within the financial industry. Later on, Huawei may help Shanghai Share Exchange drive lasting development by with each other building a green and low-carbon information center model for the financial market to lead to green finance.

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