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构建能源治理“国家大脑” 打造绿色发展“中国标尺” ——“泛能源大数据大科学设施计划”启动倡议在京发起
Xin Lang Cai Jing· 2026-02-02 01:28
登录新浪财经APP 搜索【信披】查看更多考评等级 新浪财经ESG评级中心提供包括资讯、报告、培训、咨询等在内的14项ESG服务,助力上市 公司传播ESG理念,提升ESG可持续发展表现。点击查看【 ESG评级中心服务手册】 站在"十五五"规划谋篇布局与联合国2030可持续发展目标冲刺的关键历史节点,如何以中国智慧破解全 球能源转型难题?1月28日,在清华大学举行的2026国际能源经济可持续发展大会上,一项旨在重塑能 源治理范式的重大倡议正式发出——启动"泛能源大数据大科学设施计划"。 该计划旨在构建一套融合自然科学与社会科学的"社会-自然模拟器",为我国应对能源安全挑战、突破 国际绿色贸易壁垒及实现"双碳"目标提供自主可控的科学决策支撑工具。 建设"智慧决策实验室",服务国家战略顶层设计 当前,新一轮科技革命与产业变革深入发展,能源安全与地缘政治博弈相互交织,欧盟碳边境调节机制 (CBAM)等绿色壁垒日益森严。传统的单一学科研究范式已难以应对这一复杂的系统性挑战。 对此,中国工程院院士谢克昌在会上指出,必须建立能够穿透表象、把握全局的系统思维框架。"泛能 源大数据"理念的核心,在于以整合性系统观将能源视为社会多 ...
“泛能源大数据大科学设施”建设倡议正式发起
Xin Lang Cai Jing· 2026-02-01 04:54
Core Insights - The initiative for the "Pan-Energy Big Data Scientific Facility" aims to address the dual pressures of green transformation and energy security through a systematic approach to complex challenges in the energy sector [1][4] - This facility is designed to integrate advanced technologies such as IoT, AI, digital twins, and supercomputing to provide data-driven insights for energy, economic, social, and environmental interactions [1][2] Group 1: Facility Overview - The facility is not a traditional physical experiment but a networked, intelligent, and open scientific infrastructure focused on "Pan-Energy Big Data" [1] - It aims to create a national decision-making experimental platform that can simulate various scenarios and assess risks, thereby avoiding "synthetic fallacies" in real-world decision-making [2] Group 2: Technological Integration - The facility will enhance existing technologies by integrating energy flow, material flow, information flow, and value flow into a complex network model, creating a dynamic national-level "digital twin" [2] - The launch of platforms for regional green low-carbon transition and international sustainable development information disclosure reflects the initial application of this integrated approach [2] Group 3: Industry Collaboration - The "China Green Manufacturing Ambition Navigation Plan" was initiated to leverage Pan-Energy Big Data, linking leading enterprises in the industry to promote green manufacturing practices [3] - This initiative aims to establish a self-controlled carbon footprint accounting and green evaluation system, enhancing China's influence in international green rule-making [3] Group 4: Cross-Disciplinary Approach - The conference highlighted the need for a deep integration of technological strength and communication capabilities in energy transition efforts [3] - A memorandum of cooperation was signed between the Qingdao Institute of Bioenergy and Process Research and the United Nations Training and Research Institute to build an international talent cultivation and knowledge-sharing platform [3] Group 5: Strategic Importance - The construction of this complex system simulation facility represents a shift from traditional disciplinary approaches to a multi-disciplinary coupling, aiming for proactive simulation rather than reactive assessment [4] - This initiative is expected to position China strategically in global climate governance and sustainable development, contributing to the goal of becoming an energy powerhouse and achieving harmonious coexistence between humanity and nature [4]
为全球可持续发展贡献“中国方案” 2026国际能源经济可持续发展大会在清华大学举行
Sou Hu Cai Jing· 2026-01-29 14:14
Core Insights - The conference on January 28, 2026, at Tsinghua University focused on the theme of building an energy-centered governance system to promote global sustainable development [3][4] - The event highlighted the importance of interdisciplinary approaches, integrating energy with economic, social, ecological, and technological data to support energy transition and sustainable development [2][3] Group 1: Conference Overview - The "Global Initiative for the Pan-Energy Big Data Scientific Facility" was launched during the conference, aiming to create a collaborative platform for global research in pan-energy big data [5] - The conference served as a high-level academic event coinciding with China's 14th Five-Year Plan and the critical phase of the UN's 2030 Sustainable Development Goals [3][4] Group 2: Key Contributions and Discussions - Academician Jiang Peixue emphasized the need for a combination of top-level strategy, cutting-edge technology, industrial practice, and effective communication to achieve energy transition and sustainable development [3] - The concept of "Pan-Energy Big Data" was introduced as a means to address complex challenges in energy security and green development, integrating various disciplines and technologies [4][5] Group 3: International Collaboration and Future Plans - Mihoko Kumamoto from UNITAR acknowledged China's contributions to global sustainable development and called for international collaboration to tackle climate challenges [4] - The conference initiated the "China Green Manufacturing" initiative to promote large-scale green manufacturing through collaboration with leading enterprises [5]