This invention relates to the field of industrial process management and optimization scheduling technology, and particularly to a method for tracking and optimizing carbon emission flows in a multi-product co-production process in the
fluorochemical industry. First, a
directed graph model of the product chain with process units as vertices is constructed. A multi-dimensional carbon emission flow calculation model is established, including direct carbon flows from fuel
combustion, indirect carbon flows from purchased
electricity and heat, direct carbon flows from the process itself, and carbon flows from the emission of fluorinated
greenhouse gases. A dynamic evolution
algorithm for node
carbon potential and an iterative
algorithm for reverse tracing of
branch carbon flows are employed to achieve accurate tracking of spatiotemporally coupled carbon flows throughout the entire process. Using the time-varying carbon
intensity coefficient as the core parameter, a dual-objective optimization scheduling model is established to minimize both total
system carbon emissions and overall operating costs. An adaptive penalty mechanism with carbon constraints is introduced to solve for the
optimal scheduling scheme, constructing a rolling optimization closed-
loop control link for the production process. This invention effectively solves the problems of calculating carbon flows from the emission of
fluorinated gases and allocating carbon flows among multiple products in the
fluorochemical industry, achieving a synergistic improvement in carbon emission reduction and
economic benefits.