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

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 adva...

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Detalles Bibliográficos
Autores principales: Zhou, Jianzhao, Shi, Tao, Qian, Qiming, He, Chang, Ren, Jingzheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622306/
https://www.ncbi.nlm.nih.gov/pubmed/37905497
http://dx.doi.org/10.1016/j.xpro.2023.102685
Descripción
Sumario: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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