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    基于代理模型的炼厂氢网络与脱硫系统同步优化

    Surrogate-Assisted Refinery Hydrogen Network Optimization with Hydrogen Sulfide Removal

    • 摘要: 脱硫过程的准确建模是实现氢气分配网络和脱硫过程协同优化的基础。脱硫过程模型的简化和假设会导致结果次优,而基于过程热力学的严格过程模型会带来繁琐的计算工作量。为解决这一困境,提出了一种基于代理模型技术的炼油厂氢气网络和硫化氢脱除过程耦合优化的新策略。基于严格脱硫过程模型开发其代理模型,再将代理模型集成到氢气网络优化的数学规划模型中,以实现高效准确求解。将该方法应用于国内某炼油厂的氢网络集成,在有效控制系统中硫化氢含量的同时实现了系统优化。相比于基于简化脱硫模型的文献方法,本文方法所得结果较优,证明了该方法的有效性。

       

      Abstract: In order to achieve the collaborative optimization of the hydrogen distribution network and the desulfurization process, it is necessary to accurately model the desulfurization process. While the simplification of the desulfurization process model compromises the accuracy of the results, a strict process model based on process thermodynamics is disadvantaged due to its inherently high complicacy. To solve this dilemma, this paper proposes a new strategy for coupling optimization of the hydrogen distribution network and the hydrogen sulfide removal process in the refinery. Surrogate models are developed as approximations to the rigorous desulfurization processes. The surrogate model is then integrated into the mathematical programming model for hydrogen network optimization. The proposed method is applied to a case study taken from a refinery in Western China. The result suggests that the proposed model can effectively reduce the H2S content in the system. Moreover, a comparison between the proposed method and the prerious literary work based on simplified desulfurization models proves that our model can more practically obtain optimization results.

       

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