绿色算力投资手册（下）：从硬件能效、节能温控到算能协同、赋能转型，绿色算力各赛道前景广阔

Investment Rating - The report does not explicitly state an investment rating for the green computing industry Core Insights - The green computing industry is analyzed from three dimensions: computing side (hardware and software), energy side, and application side, with a focus on liquid cooling technology, efficient algorithms, high-density servers, and long-term attention on integrated systems and green electricity [1][2][12] - The transition from energy efficiency optimization to a collaborative system of "computing power, electricity, and carbon power" is highlighted as a core trend in the intersection of technology and energy [1][2] Summary by Sections 1. Research Framework - The demand for computing power is rapidly increasing due to global digitalization and intelligent transformation, with AI data center IT energy consumption projected to grow significantly from 55.1 TWh in 2024 to 146.2 TWh by 2027, reflecting a compound annual growth rate of 44.8% [11][12] 2. Computing Side: Role of Algorithms, Devices, and Carriers - Green algorithms are essential for optimizing AI computing efficiency, focusing on reducing computational and storage costs while maintaining performance [2][30] - Data center hardware is identified as a major source of energy consumption, with significant advancements in chip architecture and high-density integration driving energy efficiency [2][12] - Efficient cooling technologies, such as liquid cooling, can significantly reduce Power Usage Effectiveness (PUE) to below 1.3, with AI-driven management systems enhancing operational efficiency [2][12] 3. Energy Side: The End of Computing Lies in Electricity - The report emphasizes the need for energy structure transformation, with approximately 70% of China's data center energy coming from coal [2][12] - Innovations in energy management, such as integrated microgrids and direct connections to green electricity, are crucial for optimizing energy allocation [2][12] 4. Application Side: AI+ Achieving Green Empowerment Across Industries - AI computing is driving decarbonization across various sectors, with significant reductions in carbon emissions projected for energy (12%-22%), industry (13%-22%), transportation (10%-33%), and buildings (23%-40%) [2][3] - The development of edge computing and large models is expected to transform consumption patterns and production methods, leading to a comprehensive green and intelligent transition in the economy [3][12] 5. Summary and Recommendations - The report suggests focusing on key areas such as liquid cooling technology, efficient algorithms, and integrated energy systems as potential investment opportunities in the green computing sector [2][12]