The large-scale petrochemical industry is a pillar industry of the national economy,characterized by high energy consumption and carbon emissions.In response to the demand for low-carbon and intelligent transformation in the traditional petrochemical industry under the context of dual carbon goals,this study describes the utilization of process mechanisms industrial big data,and artificial intelligence technology.It investigates theoretical frameworks for modeling the carbon footprint of the entire integrated petrochemical process,tracing irregular carbon emissions throughout the process,and achieving distributed collaborative optimization of process units.Meanwhile,this study also offers recommendations for efficient,low-carbon,and intelligent production in real-world integrated petrochemical enterprises.
维普
万方数据