With the explosive growth of AI power demand, the stability of power system is becoming more and more urgent. Haichen Energy Storage, which was established at the end of 2019 and applied for an IPO in Hong Kong last year, earlier released the world’s first native 8-hour long-term energy storage system to reduce costs, improve safety and extend life, and provide stable, green and reliable power support for AI computing centers. The company also came to Hong Kong on Monday (13th) to appear at the Hong Kong International Innovation and Technology Exhibition (InnoEX). Its Hong Kong head Zhang Qin said in an interview with Sing Tao Toutiao that the Hong Kong R & D center will be formally established in the near future and hopes to use Hong Kong as an international The advantages of the hub, the layout of cutting-edge technology research and development.
Three Breakthroughs in Energy Storage System at Pushing Long Time
According to Zhang Qin, wind power and photovoltaic penetration are increasing. According to BNEF estimates, the penetration rate of wind power and photovoltaic in China and the United States will exceed 50% around 2033, while the traditional 2-to 3-hour energy storage system has been difficult to maintain power stability, the pressure of new energy consumption has increased significantly, and the market urgently needs a long-term energy storage scheme with lower cost and longer life. Another powerful driving force comes from the rapidly growing AI industry, where the desire for computing power of large models translates directly into dependence on electricity, where data centers have extremely high energy density, huge carbon pressure, and high power stability and low cost.
in the face of two major demands, the Cell 1175Ah kWh battery cell and Power 6.25MWh system introduced by haichen energy storage can reduce the number of battery cells in 1GWh energy storage power station by 70%, significantly reduce the cost of single system, and realize ultra-low LCOS (energy storage leveling cost), system design without thermal diffusion, and ultra-high manufacturing integration efficiency, I .e. three major technological breakthroughs in cost reduction, safety and life extension, effectively solve the problem of abandoning wind and light, improve the new energy power consumption capacity, in the AI large model, not only can effectively smooth the power demand of AI computing power, but also match the green power to reduce carbon emissions, for the high energy consumption of the AI industry to provide low-cost, low-carbon energy support.
China and the United States have set up production bases all over the United States, Australia and Europe
since 2022, Haichen energy storage has been globalized and has been distributed in Xiamen, Chongqing, Heze and Texas in the mainland, covering more than 20 countries such as North America, Australia and Europe. Up to now, Haichen Energy Storage has promoted a number of domestic and foreign long-term energy storage projects, including Ningxia Tengger Desert million kilowatt optical storage project, Gansu Zhangye optical storage project, Europe Bulgaria optical storage project, the United States Texas Jaguar energy storage project.
Haichen Energy Storage will soon officially enter the Hong Kong Park of the Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone, which is part of the northern metropolitan area, and set up a Hong Kong Research and Development Center. Zhang Qin revealed that Hong Kong was chosen on the basis of its international hub and advantageous geographical location. She believes that Hong Kong can not only provide international opportunities, but also communicate with the mainland very efficiently. The Hong Kong Research and Development Center will mainly focus on long-term energy storage technology and sodium battery (sodium ion battery) products. She hopes that through the Hong Kong Research and Development Center, Haichen Energy Storage can more conveniently join hands with scientific research institutions and partners around the world to promote the landing of long-term energy storage products in different application scenarios.
developing non-smooth road epidemic and going to sea become a test
in fact, since 2019, Haichen energy storage has developed rapidly, and the shipment volume of energy storage batteries in 2025 has ranked second in the world, but Zhang Qin frankly admitted that this road is not smooth. She recalled that the company had just registered at the end of 2019, and then 2021 was a critical period for the construction of the production base, but suffered a serious impact from the epidemic. At that time, the Fujian base was forced to stop work due to epidemic prevention and control, in the face of adversity, the company added full horsepower before the shutdown, a large number of work front, reducing the impact of the shutdown. In addition to the external environment, the brand also faces the challenge of overseas customers’ trust in the new brand.
Looking to the future, Zhang Qin believes that the company will continue to optimize product performance, under the premise of ensuring safety, pursue longer cycle life and lower electricity cost according to market demand, so as to support the sustainable development of global energy transformation.
in the face of two major demands, the Cell 1175Ah kWh battery cell and Power 6.25MWh system introduced by haichen energy storage can reduce the number of battery cells in 1GWh energy storage power station by 70%, significantly reduce the cost of single system, and realize ultra-low LCOS (energy storage leveling cost), system design without thermal diffusion, and ultra-high manufacturing integration efficiency, I .e. three major technological breakthroughs in cost reduction, safety and life extension, effectively solve the problem of abandoning wind and light, improve the new energy power consumption capacity, in the AI large model, not only can effectively smooth the power demand of AI computing power, but also match the green power to reduce carbon emissions, for the high energy consumption of the AI industry to provide low-cost, low-carbon energy support.
