各地能源保供能力提升 让温暖直达千家万户
Ren Min Wang·2025-12-03 05:49

Core Viewpoint - The article emphasizes the importance of ensuring stable energy supply during winter, as increased energy demand due to lower temperatures affects both household heating and economic stability [1]. Group 1: Energy Supply and Demand - The demand for energy has surged due to colder temperatures, necessitating enhanced energy supply measures to ensure warmth for households and support economic growth [1]. - The National Energy Administration has called for improved communication between various departments and energy companies to monitor weather conditions and optimize resource allocation for energy supply [1]. Group 2: Coal and Natural Gas Supply - Coal and natural gas are identified as foundational elements for ensuring energy supply during the winter peak demand period [1]. - Automation and smart technologies are being utilized in coal production and transportation to enhance efficiency, such as remote control systems in coal mines and optimized logistics at ports [2]. Group 3: Renewable Energy Contribution - The share of renewable energy sources like wind, solar, and hydropower in China's energy mix is increasing, providing additional support for winter energy supply [2]. - As of the end of October, the total installed power generation capacity in China reached 3.75 billion kilowatts, a year-on-year increase of 17.3%, with solar power capacity growing by 43.8% and wind power capacity by 21.4% [2]. Group 4: Challenges and Solutions - The variability of renewable energy sources poses challenges for maintaining a balanced power supply, especially during extreme weather conditions [3]. - Various regions are implementing advanced monitoring and maintenance strategies for power infrastructure to ensure reliable electricity supply during winter [3]. Group 5: Digital Technology Integration - The integration of digital technologies such as AI, big data, and IoT is playing a crucial role in supporting winter energy supply efforts [4]. - Recommendations include using AI for demand forecasting and risk assessment, creating intelligent dispatch platforms, and employing digital tools for load management and emergency response [4].