The drying process accounts for the largest proportion of energy consumption in paper mills. Energy system optimization has a great significance for reducing the energy consumption of the paper drying process. The drying process is a complex system that consists of several subsystems, such as cylinder and air hood systems. Previous optimization models for energy systems usually focused on these subsystems. A global optimization methodology for the entire drying process is lacking, and no existing models can be applied in practice. In this work, an energy system optimization model for the tissue paper drying process is proposed based on a process simulation model. The modeling process integrates the various subsystems and fully considers the coupling of the paper drying process, which greatly enhances the industrial application value of the model. Industrial operating data are used to test the simulation model, and the results show that the simulation error of each key variable is within 5%, which meets the real-world production requirements and lays the foundation for an energy efficiency analysis of each subsystem. Applying the optimization model to a tissue paper mill, the results show that it can reduce drying costs by 8.71%.

干燥过程占造纸厂能耗的最大比例。能源系统优化对降低纸张干燥过程的能耗具有重要意义。干燥过程是一个复杂的系统，由多个子系统组成，例如滚筒和通风橱系统。能源系统的先前优化模型通常集中在这些子系统上。缺乏用于整个干燥过程的全局优化方法，并且在实践中无法应用任何现有模型。在这项工作中，基于过程仿真模型，提出了用于薄纸干燥过程的能源系统优化模型。建模过程集成了各个子系统，充分考虑了纸张干燥过程的耦合，极大地提高了模型的工业应用价值。通过工业运行数据对仿真模型进行测试，结果表明，每个关键变量的仿真误差均在5％以内，满足了现实世界的生产要求，为每个子系统的能效分析奠定了基础。将优化模型应用于薄纸造纸厂，结果表明，该模型可降低干燥成本8.71％。