Protocol for the design and accelerated optimization of a waste-to-energy system using AI tools.

Journal: STAR protocols
PMID: 37905497

Abstract

Amid a surge in waste volume, the need to achieve sustainable waste treatment has become increasingly important. Here, we present a protocol for the design and accelerated optimization of a waste-to-energy system using artificial intelligence tools. We describe steps for waste treatment process advancement as demonstrated by the medical waste-to-methanol conversion and implementing data-driven process optimization. We then detail procedures for streamlining tasks by establishing connectivity between systems such as Aspen Plus and MATLAB. For complete details on the use and execution of this protocol, please refer to Shi et al. (2022) and Fang et al. (2022)..

Authors

  • Jianzhao Zhou
    Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China.
  • Tao Shi
    Department of Cardiovascular Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
  • Qiming Qian
    Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China.
  • Chang He
    Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China.
  • Jingzheng Ren
    Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China. Electronic address: jzhren@polyu.edu.hk.

Keywords

External Resources

Popular Topics
Recent Journals