摘要
针对油品销售企业库站碳排放现状、节能降碳难点和薄弱环节进行了分析和研究,聚焦影响降碳的外购电力和LNG加气站气损两大难题,结合AI工具在数据处理、过程优化和战略决策等方面的深度应用,提出AI减碳技术体系构建及基于AI技术的库站绿色转型实践探索,旨在推进油品销售企业库站绿色低碳转型。
This paper analyzes and studies the current carbon emission status,challenges in energy conservation/carbon reduction and vulnerabilities at petroleum depots and gas stations of petroleum sales enterprises.Focusing on two major obstacles to decarbonization—purchased electricity and LNG gas evaporation loss at refueling stations—it leverages the deep application of AI tools in data processing,process optimization and strategic decision-making.The paper proposes the establishment of an AI carbon reduction technology system and explores practical pathways for green transition at petroleum depots and gas stations using AI technology,aiming to advance the green and low-carbon transformation of petroleum depots and gas stations in oil product sales enterprises.
作者
刘丹
Liu Dan(SINOPEC Hunan Oil Products Company,Changsha,Hunan,410005)
出处
《石油化工安全环保技术》
2026年第1期27-30,I0002,共5页
Petrochemical Safety and Environmental Protection Technology
关键词
油品销售企业
AI
减碳技术体系
库站绿色转型实践探索
oil products sales enterprises
AI carbon reduction technology system
practical exploration of green transformation of petroleum depots and gas stations
