炼油技术与工程 ›› 2024, Vol. 54 ›› Issue (3): 51-56.

• 能量利用 • 上一篇    下一篇

多能耦合低碳炼油过程经济性与碳足迹分析

史晓斐   

  1. 中石化(大连)石油化工研究院有限公司
  • 收稿日期:2023-11-23 出版日期:2024-03-15 发布日期:2024-03-21
  • 通讯作者: 史晓斐,工程师,博士,2021年毕业于华南理工大学化学工程专业,主要研究方向为炼化过程人工智能技术、多能耦合碳减排技术。联系电话:0411-39699025,E-mail:shixiaofei.fshy@sinopec.com。
  • 基金资助:
    国家重点研发计划“流程制造资源与能源计划排产软件研发与应用”(2022YFB3305905);

Economic and carbon footprint analysis of multi-energy coupled low-carbon refining processes

Shi Xiaofei   

  1. SINOPEC (Dalian) Research Institute of Petroleum and Petrochemicals Co., Ltd.
  • Received:2023-11-23 Online:2024-03-15 Published:2024-03-21

摘要:

建立了集成碳足迹追踪的多能耦合过程线性规划模型,评估了集成风能、太阳能、生物质能、天然气和煤制氢的多能耦合炼油过程的全厂效益与碳足迹。结果表明,耦合低碳能源制氢过程可以显著降低炼油产品碳足迹。耦合太阳能的制氢过程减排效果最好,其汽油碳足迹低至377.07 kg/t(以CO2计),相较传统过程降低了约30%。由于获取低碳氢气的成本高,3个多能耦合低碳氢源的方案全厂利润低于传统能源制氢过程9%~22%。引入碳税后,可再生能源的低碳优势逐步显现,随着风力发电和光伏发电技术成本的降低,多能耦合过程将在经济性能与环境性能方面显现竞争力。

关键词: 多能耦合, 碳减排, 碳足迹, 太阳能, 风能, 资源利用, 经济性

Abstract:

Multi-energy coupled process linear programming models integrating carbon footprint tracking was established, assessing the overall performance and carbon footprint of multi-energy-coupled refining processes that integrate wind energy, solar energy, biomass, natural gas, and coal-to-hydrogen process. The results indicate that coupling low-carbon energy hydrogen production processes can significantly reduce the carbon footprint of refining products. Among them, the hydrogen production process coupled with solar energy has the best emission reduction effect, with the gasoline carbon footprint(calculated by CO2) reduced to 377.07 kg/t, a reduction of about 30% compared to traditional processes. However, due to the high cost of obtaining low-carbon hydrogen, the overall profits of the three schemes with multi-energy coupled low-carbon hydrogen sources are 9% to 22% lower than traditional energy hydrogen production processes. With the introduction of carbon taxes, the low-carbon advantages of renewable energy gradually become evident. As the costs of wind power generation and photovoltaic power generation technologies decrease, multi-energy-coupled processes will demonstrate competitiveness in terms of economic and environmental performance.

Key words: multi-energy coupling, carbon emission reduction, carbon footprint, solar energy, wind energy, resource utilization, economy