CNNP(SH:601985) 中国能源报·2026-03-05 08:35Core Viewpoint - The article discusses the development strategy of China National Nuclear Corporation (CNNC) focusing on the integration of nuclear energy with renewable sources, particularly in the context of the "wind-solar-water-nuclear" energy base construction and the synergy between the nuclear and computing industries [2]. Group 1: Energy Development Strategy - CNNC's energy development approach emphasizes the coupling of nuclear energy with new energy sources, aligning with national strategies to accelerate the establishment of a new energy system that includes multiple energy sources [2]. - Recent projects include the 2 million kW tidal flat photovoltaic demonstration project at Tianwan Nuclear Power Plant, which has achieved its first grid connection, and multiple photovoltaic projects around the Sanmen Nuclear Power Base [2]. Group 2: Future Outlook - CNNC is particularly focused on the construction of "wind-solar-water-nuclear" multi-energy complementary bases, especially in regions like Northwest and North China, where large-scale wind and solar bases are being developed [2]. - The company advocates for the establishment of nuclear power plants in these regions to provide stable peak-shaving power support, enhancing the reliability of energy supply [2]. Group 3: Nuclear Energy and Computing Industry - Nuclear power is increasingly favored by the computing industry due to its long-term stable operation, zero carbon emissions, and high efficiency [3]. - The integration of nuclear energy with artificial intelligence (AI) is seen as a significant opportunity, where AI can enhance operational efficiency and better match nuclear power output with the energy demands of data centers [3]. Group 4: "Hualong One" Technology Upgrades - The "Hualong One" technology is currently in a phase of mass construction, representing the largest number of third-generation nuclear reactors globally [3]. - The 2.0 version of "Hualong One" includes innovations in safety systems, construction methods, and the application of AI and digital technologies to improve the intelligence of power plants [4].