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The deployment sits within Hainan’s free-trade zone, where China has relaxed regulations to allow full foreign ownership of data center and telecom operations. The project supports Hainan’s push to become a maritime and tech innovation hub, integrating marine science, digital services, and offshore infrastructure.
China’s Hainan underwater data center is a monumental experiment—one embedded with technological ambition, sustainability goals, and geopolitical strategy. While challenges abound—from marine maintenance to cost structures—the potential upside in cooling efficiency, infrastructure scalability, and carbon reduction is profound.
It is regarded as a special area for China to comprehensively deepen economic reform and experiment with the highest level of opening-up policies. Hainan Free Trade Port is not a seaport in the usual sense, but the entire Hainan Island is regarded as a special economic development area.
The "Notice on Preferential Corporate Income Tax Policies for Hainan Free Trade Port" proposed that enterprises in encouraged industries registered and operated in Hainan Free Trade Port shall be subject to a reduced corporate income tax rate of 15%.
Energy storage systems, microgrids. The purpose of this study is to develop an effective control method for a hybrid energy storage system composed by a flow battery for daily energy balancing and a lithium-ion battery to provide peak power.
Hybrid energy storage systems are advanced energy storage solutions that provide a more versatile and efficient approach to managing energy storage and distribution, addressing the varying demands of the power grid more effectively than single-technology systems.
In 11 the energy management system was implemented for a stand-alone hybrid system with two sustainable energy sources: wind, solar, and battery storage. To monitor maximum energy points efficiently, the P&O algorithm was used to control photovoltaic and wind power systems. The battery storage system is organized via PI controller.
The hybrid energy storage configuration scheme is evaluated based on the annual comprehensive cost of the energy storage system (Lei et al. 2023). Based on balance control and dynamic optimisation algorithm, a method is described for hybrid energy storage capacity allocation in multi-energy systems.
