Recently, Trina Solar has identified AI+energy as an important business goal, relying on its integrated software and hardware capabilities to seize opportunities for the coordinated development of computing and electronics. The construction of the new power system is continuously advancing, coupled with the rapid rise of the AI computing industry, and the photovoltaic energy storage industry is undergoing profound changes. From hardware manufacturers to comprehensive smart energy solution service providers, this global leader in photovoltaic energy storage is leveraging AI as a pivot to drive a comprehensive upgrade of its corporate strategy.

Industry pain points drive AI integration

Photovoltaic and wind power have natural intermittency and volatility. Under traditional operating modes, the accuracy of power generation forecasting is insufficient, energy storage scheduling is extensive, and problems such as abandoned solar and power, and project revenue falling short of expectations have long constrained the development of the industry. With the help of artificial intelligence algorithms, high-precision prediction of power generation, electricity load, and market electricity prices can be achieved, optimizing the coordinated scheduling strategy of photovoltaic storage and charging, and improving the level of new energy consumption. At the same time, the large-scale construction of large models and intelligent computing centers has generated massive electricity consumption. The end of computing power is energy, which has become an industry consensus. The demand for stable low-cost green electricity from computing facilities is rapidly increasing, opening up a new B-end incremental market for new energy enterprises.

Building a hardware base for optical storage full stack

Faced with increasingly fierce competition on the track, Trina Solar has multidimensional competitive advantages. The company has a complete technical chain from photovoltaic modules, energy storage cells, energy storage compartments to energy storage systems. The hardware base is independently controllable, and especially the grid type energy storage technology can adapt to the high reliability power supply needs of computing power centers. The self-developed GainCube AI intelligent operation platform has complete capabilities such as power generation forecasting, load analysis, intelligent energy storage scheduling, power trading, and virtual power plant aggregation. It has been applied in multiple industrial and commercial projects. Simultaneously building benchmark demonstration projects such as Sanjiangyuan Green Power Intelligent Computing Microgrid and China Unicom Zero Carbon Computing Power, and accumulating practical experience in AIDC global integration solutions. Our business covers more than 170 countries worldwide, with the ability to construct large-scale photovoltaic microgrids and computing power supporting projects, as well as provide 24/7 operation and maintenance services. Keywords: High tech News Network AI, New Energy

Collaborative computer technology reshapes industrial value

Trina Solar has established a closed-loop model of green electricity direct supply, energy storage peak shaving, and collaborative computing power infrastructure and project operation, which is different from most competitors in the market who only provide a single hardware or software product, and connects the complete industrial chain from the power generation side to the computing power load side. Industry analysis points out that AI plus energy is a long-term transformation direction determined by the new energy industry, but the track is still in the early stages of development, and algorithm iteration, commercial profit models, and supporting rules for the electricity market still need to be continuously improved. Trina Solar seized the opportunity with the advantage of integrated software and hardware, while also facing multiple industry challenges such as technological iteration and business model verification. In the future, with the continuous implementation of collaborative computing scenarios, AI will further reshape the energy industry value chain and accelerate the construction of new power systems.Editor/Gao Xue