In economy nowadays, methanol is already a key compound widely employed as building
block for producing intermediates or synthetic hydrocarbons, solvent, energy storage …

Bioprocess development today is slow and expensive compared to chemical process
development. A drastic paradigm shift is necessary and possible by the consistent …

Model predictive controller (MPC) has demonstrated its competency in controlling
autonomous vehicles. But to apply the current MPC-based schemes, it has to be formulated …

In this paper, we discuss Economic Model Predictive Control (E-MPC) in the context of
buildings with active energy storage. In particular, we propose a strategy for the optimal …

The reactor is one of the most important equipment to be designed for optimal process
operations. An appropriate reactor modeling leads to an efficient and optimal process …

Optimization and control strategies are necessary to keep wastewater treatment plants
(WWTPs) operating in the best possible conditions, maximizing effluent quality with the …

The discontinuous nature of the solar energy forces to study the dynamic behavior of solar
plants to characterize their operations, to deepen their process understanding and to …

Energy storage in buildings is an important component of peak shifting and load leveling
strategies devised to improve the operation of the electric grid. Maximizing the load-leveling …

In order to forward the development of transportation electrification and reach the goal of
carbon neutrality, eco-driving techniques for electric vehicles (EVs) are widely concerned …

Abstract Nonlinear Model Predictive Control (NMPC) is a powerful technique that can be
used to control many industrial processes. Different and often conflicting control objectives …