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考虑碳排放因素的汽油调合在线优化
引用本文:何仁初,张朝晖,杨明磊,王聪,奚桢浩. 考虑碳排放因素的汽油调合在线优化[J]. 化工学报, 2023, 74(2): 818-829. DOI: 10.11949/0438-1157.20221022
作者姓名:何仁初  张朝晖  杨明磊  王聪  奚桢浩
作者单位:1.华东理工大学能源化工过程智能制造教育部重点实验室,上海 200237;2.华东理工大学化学工程联合国家重点实验室,上海 200237
基金项目:国家自然科学基金基础科学中心项目(61988101);国家杰出青年科学基金项目(61925305);国家自然科学基金面上项目(62073142);上海人工智能实验室项目
摘    要:针对国家“双碳”战略目标要求,以炼化企业汽油调合在线优化为研究对象,分析了国Ⅵ汽油新标准下被控属性更多、更严、调合效率要求更高等特点,以及由此带来的调合组分油调整导致调合成品汽油携带碳排放量的变化情况。考虑到传统的汽油调合在线优化一般只考虑调合成本、质量卡边等目标,首先建立了非线性的汽油调合辛烷值、蒸气压和馏程等软测量模型,然后构建了基于调合效应的汽油调合优化模型,优化目标中引入调合成品油二氧化碳排放最低化目标,开发了一种融合携带碳排放特征的汽油调合优化模型。为满足在线调合优化需求,优化模型中考虑了实际累积调合过程,将调合工艺过程中储罐汽油属性合格转化成调合头属性区间合格,利用调合头处优化的属性补偿已调合体积和罐底油的属性偏差。仿真结果表明,设计的考虑碳排放因素汽油累积调合优化技术能很好地满足汽油调合在线优化需求,为国Ⅵ标准和碳交易背景下汽油调合工艺设计及在线优化控制提供了技术支撑。

关 键 词:二氧化碳  国Ⅵ  汽油调合  在线优化  碳排放
收稿时间:2022-07-15

Online optimization of gasoline blending considering carbon emissions
Renchu HE,Zhaohui ZHANG,Minglei YANG,Cong WANG,Zhenhao XI. Online optimization of gasoline blending considering carbon emissions[J]. Journal of Chemical Industry and Engineering(China), 2023, 74(2): 818-829. DOI: 10.11949/0438-1157.20221022
Authors:Renchu HE  Zhaohui ZHANG  Minglei YANG  Cong WANG  Zhenhao XI
Affiliation:1.Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China;2.State Key Laboratory of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, China
Abstract:According to the requirements of the national “two carbon” strategic objectives, taking the online optimization of gasoline blending in refining and chemical enterprises as the research object, this paper analyzes the characteristics of more controlled attributes, stricter requirements and higher blending efficiency under the new national Ⅵ gasoline standard, as well as the changes of carbon emissions of blended gasoline caused by the adjustment of blending components. Considering that the traditional online optimization of gasoline blending only considers the blending cost, quality and other objectives, this paper first establishes a nonlinear soft sensor model of gasoline blending octane number, vapor pressure and distillation range, and the goal of minimizing carbon dioxide emissions from blended refined oil was introduced into the optimization objective, and a gasoline blending optimization model incorporating carbon emission characteristics was developed. In order to meet the demand of online blending optimization, the actual cumulative blending process is considered in the optimization model. The qualified attributes of tank gasoline in blending process are transformed into qualified attributes of blending head. The optimized attributes of blending head are used to compensate the attribute deviation of blended volume and tank bottom oil. The simulation results show that the gasoline blending optimization technology considering carbon emission can well meet the demand of gasoline blending online optimization, and provide technical support for gasoline blending process design and online optimization control under the background of national Ⅵ standard and carbon trading.
Keywords:carbon dioxide  national Ⅵ  gasoline blending  online optimization  carbon emission  
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