Energy system optimization model for tissue papermaking process

Yang Zhang, Mengna Hong, Jigeng Li, Jingzheng Ren, Yi Man

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)

Abstract

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%.

Original languageEnglish
Article number107220
JournalComputers and Chemical Engineering
Volume146
DOIs
Publication statusPublished - Mar 2021

Keywords

  • Drying process
  • Energy system optimization
  • Process simulation
  • Tissue paper

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

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