基于数智化赋能典型路径的能源企业碳排放管理对策  

Carbon emission strategies of energy enterprises based on intelligent digital empowerment pathway

作　　者：凌晓凤 夏远芬 刘鑫鑫 刘福德[2] 吴海龙[2] LING Xiaofeng;XIA Yuanfen;LIU Xinxin;LIU Fude;WU Hailong(State Power Environmental Protection Research Institute,Nanjing 210031,China;School of Environmental Science and Safety Engineering,Tianjin University of Technology,Tianjin 300384,China)

机构地区：[1]国电环境保护研究院有限公司,江苏南京210031 [2]天津理工大学环境科学与安全工程学院,天津300384

出　　处：《再生资源与循环经济》2025年第2期47-50,共4页Recyclable Resources and Circular Economy

基　　金：国家能源集团2024年政研课题(碳市场政策和碳排放管理研究)。

摘　　要：如何有效监控和减少碳排放,已经成为各国和企业在全球气候变化和碳排放管理需求日益迫切背景下面临的关键挑战。针对这一问题,研究对比了我国与其他国际经济体在实现“双碳”目标过程中的政策措施的差异化,探讨了新兴的数智化技术在现实场景中对于能源企业碳排放管理的典型应用。根据当前数智化技术的发展,提出了5G+人工智能、大数据+工业互联网技术、区块链+云计算+人工智能以及其他技术赋能碳排放监测、构建碳在线碳监测平台,为推动行业绿色低碳转型提供关键支撑。Effectively monitoring and reducing carbon emissions has become a critical challenge for nations and enterprises,as the urgency of global climate change and carbon management continues to increase.To address this issue,this study compared the policy measures adopted by China and other international economic entities in achieving carbon neutrality goals,and explored the typical applications of emerging digitalization technologies in real scenarios for energy enterprises'carbon emissions management.Based on the current development of digitalization technologies,this study proposed 5G+artificial intelligence,big data+industrial internet,blockchain+cloud,computing+artificial intelligence,and other technology-enabled carbon emissions monitoring,and introduced a carbon online monitoring platform to provide key support for driving the industry's green and low-carbon transformation.

关 键 词：碳排放管理 人工智能 区块链 云计算 工业互联网 

分 类 号：X324[环境科学与工程—环境工程] F424.1[经济管理—产业经济]