Simulation and Data Analytics in the Conceptual Design of Industrial Networks in Stochastic Environments

摘要

The cross-linking of industrial processes and plants is gaining great importance. The project Carbon2Chem (R) deals with industrial networks in a stochastic environment with volatilely available resources. Thus, processes in the networks must be designed for discontinuous operation, and design challenges arise due to complex dynamic interdependencies within the system. Here, a V-model based framework for the conceptual design of industrial networks is presented, which integrates simulation and data analytics methods for a hierarchical derivation of stochastic boundary conditions on different levels of process integration. This framework is applied to study the utilization of steel mill gases for methanol synthesis in a stochastic dynamic environment.