In solar parabolic-trough plants, the use of Model Predictive Control (MPC) increases the
output thermal power. However, MPC has the disadvantage of a high computational …

Detecting and isolating faults in collector fields of solar thermal power plants is a crucial and
challenging task. The system variables in the collector area are highly coupled, which can …

The importance of the use of renewable energy sources has experienced a great impulse
since the beginning of the 80s. In particular, solar energy is the most abundant source of …

One of the most important challenges in the use of solar energy is to make it economical.
This can be done by reducing investment and operating costs and by increasing solar plants …

Model Predictive control algorithms for trough solar plants make use of solar radiation
measurements and the overall efficiency knowledge which are very useful in order to reject …

This paper presents the application of a Nonlinear Model Predictive Controller (NMPC) to a
distributed solar collector field. The control technique is basically similar to Dynamic Matrix …

One of the ways to improve the efficiency of solar energy plants is by using advanced control
and optimization algorithms. In particular, model predictive control strategies have been …

In this paper we propose an observer-based Model Predictive Control strategy for solar
trough plants. The controller has been tested at the parabolic-trough field ACUREX at the …

This work deals with the main control problems found in solar power systems and the
solutions proposed in literature. The paper first describes the main solar power …

An algorithm for mapping Direct Normal Irradiance (DNI) in thermosolar power plants using
a Mobile Robotic Sensor Network (RSN) is presented. The algorithm selects measurement …