Yuntian Zhongwei 丨 Chen Hong: Zhongwei can create a model for the development of cloud computing and big data industry under the "double carbon" goal

Source: People's Daily - Ningxia Channel

People's Daily Zhongwei, October 19 (Zhao Moyu) "With the development of 5G, the growth of cloud data cannot be stopped at all. What if a lot of data is generated and the data store is constantly consuming energy? During the "2021 Yuntian Conference", Chen Hong, chairman of the Zhongguancun Cloud Computing Industry Alliance and chairman of Hanergy Investment Group, was interviewed by people's networks to answer how to develop cloud computing and big data industries under the "double carbon" goal.

Chen Hong was interviewed by People's Daily News. People's Daily Photo by Liang Hongxin

"New data centers can be designed to directly use clean energy such as light energy and wind energy to form an independent dynamic energy cycle system." The heat discharged from the data center can also be used for urban heating, so as to achieve energy saving and emission reduction. At present, some companies have begun to design. Chen Hong said that the establishment of green data centers is the development trend of the industry.

This is chen hong's first visit to Zhongwei, and he can't help but sigh "desert, oasis, photovoltaic, cloud sky conference". "The data center located in Zhongwei has less carbon emissions, and can take advantage of the resource advantages here to create a model project for the development of cloud computing and big data industry with the help of advanced technology of enterprises, and explore how cloud computing and big data industry can develop under the goal of "double carbon". Chen Hong said.

It is reported that Zhongwei clean energy accounts for a relatively high proportion, and the price of water and natural gas is relatively low. At the same time, Zhongwei's temperature environment is pleasant in all seasons, and it is suitable to use all-natural air cooling technology to build and operate data centers, effectively reducing operating costs.