Diesel engines are preferred over spark ignition counterparts for heavy-duty applications
and power generation plants because of their higher efficiency, durability, and productivity …

This paper presents a literature review of reinforcement learning (RL) and its applications to
process control and optimization. These applications were evaluated from a new …

This review provides a deep analysis of the different methodologies to improve the operation
of solar thermal plants based on mathematical optimization. The various schemes found in …

The use of neural networks (NNs) in all aspects of process engineering activities, such as
modelling, design, optimization and control has considerably increased in recent years …

The vanadium redox flow battery (VRFB) is regarded as a potential technology for large-
scale and stationary electricity storage. Efficient operation of the VRFB to maximize the …

While mathematically sophisticated methods can be used to better understand and improve
processes, the nonlinear nature of food processing models can make their dynamic …

Biofuels, such as biodiesel, are good for the environment because they add fewer emissions
to the atmosphere than petroleum-based fuel. Conventional biodiesel processes are mainly …

This paper presents an economic Dynamic Real-Time Optimization (DRTO) of the operation
of a solar thermal plant. The methodology includes a planning phase, used to improve …

This work deals with a new hybrid approach for the detection and diagnosis of faults in
different parts of fed-batch and batch reactors. In this paper, the fault detection method is …

The importance of batch reactors in today's process industries cannot be overstated. Thus
said, it is important to optimise their operation in order to consistently achieve products of …