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Protocol for the design and accelerated optimization of a waste-to-energy system using AI tools
Jianzhao Zhou1, Tao Shi1, Qiming Qian1
1Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China.
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)1 and Fang et al. (2022).2.
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