石油化工安全环保技术 ›› 2025, Vol. 42 ›› Issue (1): 27-30.

• 安全与环保管理 • 上一篇    

AI 技术驱动下油品销售企业绿色转型的实践探索

刘丹   

  1. 中国石化销售股份有限公司湖南石油分公司,湖南 长沙 410005
  • 收稿日期:2025-08-20 接受日期:2026-01-15 出版日期:2026-02-20 发布日期:2026-03-17
  • 作者简介:刘丹,女,工程师, 2019 年毕业于中南大学环境科学与工程专业,硕士,现从事油品销售企业环保管理、节能降碳管理工作。 E-mail: 956139117@qq.com

Practical Exploration of Green Transformation in Oil Products Sales Enterprises Driven by Ai Technology

Liu Dan   

  1. SINOPEC Hunan Oil Products Company, Changsha, Hunan, 410005
  • Received:2025-08-20 Accepted:2026-01-15 Online:2026-02-20 Published:2026-03-17

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。

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

Abstract: 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.

Key words: oil products sales enterprises, AI carbon reduction technology system, practical exploration of green transformation of petroleum depots and gas stations