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针对炼厂生产工艺参数波动导致的氢气系统动态变化,提出基于氢气系统运行的历史数据进行静态分割综合的优化方法(static partitioning synthesis method,SPSM),建立了以总年度费用最小为目标的数学规划模型。考虑了系统中氢源的氢量和纯度的变化、氢阱需求氢量及氢气纯度范围、氢气压力波动和压缩机选型等因素对动态氢气系统优化的影响。以某炼厂的氢气系统为实例分析阐明了SPSM方法的可行性,并与传统的稳态优化方法进行了对比。SPSM方法考虑了工艺系统参数的波动,优化后导致氢气网络结构趋于复杂。氢气系统结构的复杂性使得氢气系统可适应参数波动,具有较宽的操作窗口。
Aiming at the dynamic change of hydrogen system caused by the fluctuation of process parameters in the refinery, a static partitioning synthesis method (SPSM) based on the historical data of hydrogen system operation is proposed, and a mathematical programming aiming to minimize the total annual cost model. The influence of factors such as the hydrogen quantity and purity of the hydrogen source in the system, the amount of hydrogen needed in the hydrogen trap and the hydrogen purity range, the pressure fluctuation of the hydrogen and the selection of the compressor on the optimization of the dynamic hydrogen system are considered. Taking the hydrogen system of a refinery as an example, the feasibility of the SPSM method is illustrated and compared with the traditional steady-state optimization method. The SPSM method takes into account fluctuations in the parameters of the process system, resulting in a more complicated hydrogen network structure after optimization. The complexity of the hydrogen system structure makes the hydrogen system can adapt to fluctuations in parameters, with a wide operating window.