Tackling challenges in infrastructure operation and control – cross-sectoral learning for process and infrastructure engineers Tackling challenges in infrastructure operation and control: cross-sectoral learning for process and infrastructure engineers

The need for improving the operation and control of infrastructure systems has created a demand for optimization and control methods applicable in the area of complex networked systems operated by a multitude of actors in a setting of decentralized decision making. Because of the analogy between production systems and infrastructures, process systems engineering (PSE) approaches for optimization and control can be applied to infrastructure system operations. This paper explores the applicability of the techniques often used by the PSE community, i.e. multilevel optimization and multi-agent model predictive control in infrastructure system operation, and stresses their importance for capacity and system management in the energy and transport sectors.