Abstract Model predictive control (MPC) is a well-established control methodology in
chemical engineering, but the increasing complexity of chemical processes necessitates the …

This study addresses the challenge and related difficulties of controlling solar collector fields
(SCFs) using high-complex models by proposing an adaptive optimal model-free controller …

Integrating distributed solar fields (DSFs) into conventional heat and power plants (CHPs) of
industries is mostly constrained by the availability of a real-time capable control scheme …

Concentrating solar power plants are a clean energy source capable of competitive
electricity generation even during night time, as well as the production of carbon-neutral …

To deeply explore aerogel's insulation performance, we proposed a thermophysical field
reconstruction based on physics-informed learning with limited parameters measurement …

Solar district heating systems are widely used in solar-rich areas due to their centralized
management and ease of maintenance. However, traditional temperature difference-based …

The current study discussed the integration between two computational approaches to
evaluate the hydrothermal properties, such as pressure drop (ΔP), energy efficiency (η eng) …

Solar thermal plants have high nonlinearities and non-manipulated energy source which
make their control task a very challenging work. Linear controllers cannot cope with …

The temperature of the steam produced by the superheater has been regarded as one of the
most crucial parameters for steam power plant regulation. It must be precisely regulated …

The present paper proposes a collaborative control strategy for CAV movement in a lane-
free environment, where CAVs have different priority values. The priority values are …