| 集成轻烃回收单元代理模型的氢气网络多目标优化 |
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| 引用本文： | 张淑君,王诗慧,张欣,吉旭,戴一阳,党亚固,周利.集成轻烃回收单元代理模型的氢气网络多目标优化[J].化工学报,2022,73(4):1658-1672. |
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| 作者姓名： | 张淑君 王诗慧 张欣 吉旭 戴一阳 党亚固 周利 |
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| 作者单位： | 四川大学化学工程学院，四川 成都 610065 |
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| 基金项目： | 国家重点研发计划项目(2021YFB40005)；;国家自然科学基金项目(22108178)； |
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| 摘 要： | 当前炼油企业氢气需求持续增长，导致炼厂成本及生产过程温室气体排放增加，炼油企业通过增设轻烃回收单元对氢气和轻烃组分进行回收利用，能有效缓解这一现状。因此，在氢气网络优化中有必要考虑轻烃回收单元。本研究提出了一种集成轻烃回收单元的氢气网络多目标数学规划模型，对轻烃回收单元采用代理模型建模方法，解决了直接嵌入严格机理模型可能导致的高计算成本问题，以总年度费用最小为优化目标，同时将系统的环境影响也纳入优化目标。实例计算表明，所提出的方法能够有效降低氢气网络的年度费用及温室气体排放，并揭示了集成轻烃回收单元的氢气网络经济性能与环境影响之间的权衡关系，为工业应用提供了一定的理论基础。
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| 关 键 词： | 过程系统 氢气网络 集成 数学规划 多目标 优化设计 |
| 收稿时间： | 2021-11-03 |
Surrogate-assisted multi-objective optimization of hydrogen networks with light hydrocarbon recovery unit |
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| ZHANG Shujun,WANG Shihui,ZHANG Xin,JI Xu,DAI Yiyang,DANG Yagu,ZHOU Li.Surrogate-assisted multi-objective optimization of hydrogen networks with light hydrocarbon recovery unit[J].Journal of Chemical Industry and Engineering(China),2022,73(4):1658-1672. |
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| Authors: | ZHANG Shujun WANG Shihui ZHANG Xin JI Xu DAI Yiyang DANG Yagu ZHOU Li |
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| Affiliation: | School of Chemical Engineering, Sichuan University, Chengdu 610065, Sichuan, China |
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| Abstract: | Global warming has become increasingly serious over the last decade. As one of the greenhouse gas (GHG) emission contributors, petroleum refineries are now encountering high GHG emissions and annual costs due to the increase of hydrogen demand. Light hydrocarbons recovery(LHR) unit can effectively reduce GHG emissions and improve resource utilization through recovering hydrogen and hydrocarbons components. Therefore, it is necessary to consider the light hydrocarbon recovery unit in the optimization of the hydrogen network. To avoid the high computational cost of rigorous process, this paper proposed surrogate models as approximations to the rigorous LHR process. Meanwhile, the environmental impact was added to the optimization goal. Finally, a hydrogen network multi-objective mathematical programming model was established. The proposed approach was applied to a case study taken from a real refinery. The results showed that the proposed method can effectively reduce the annual cost and GHG emissions of the hydrogen network, and reveal the trade-off relationship between the economic performance and the environmental impact of the hydrogen network integrated LHR unit. Hence it can provide a certain theoretical basis for further industrial application. |
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| Keywords: | process system hydrogen network integration mathematical programming multi-objective optimal design |
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