Process modeling is one of the key factors in process/energy systems engineering. It is a powerful tool for understanding, designing, and predicting processes and process equipment in the chemical industry, including the conservation of momentum, energy, and material. We develop diverse types of a process model (e.g., fundamental-based model, data-driven model) for the applications such as control and optimization.

Process optimization is a study that coordinates processes to optimize a set of parameters. The goal of recent optimizations is to minimize costs, maximize throughput and/or efficiency, as well as maximize environmental sustainability. Optimization is utilized for determining operating conditions, equipment/process design, control, and decision of process/energy systems.

As technology advances, many new and improved processes have been proposed. In particular, recently developed processes are focused on rapid technology development and commercialization for environmental sustainability. To achieve a successful process development, computer-based process design and process evaluation, where techno-economic analysis (TEA) and life cycle assessment LCA), should be performed simultaneously.