Nonlinear model predictive control for thermal balance in solar trough plants

The size of existing commercial solar trough plants poses new challenges in applying advanced control strategies to optimize operation. One these is obtain a better thermal balance the loops’ temperature. Since are made up many loops, efficiency loops can vary substantially if group has been cleaned or affected by dust. This leads need defocus collectors most efficient avoid overheating problems, thus producing energy losses. In order minimize losses, input valves have be manipulated reduce temperature difference loops. However, when pipes connecting very long, pressure drop and losses those become notorious, affecting flow distribution. consider hydraulic model becomes important. this paper, non-linear predictive algorithm presented that uses field compute aperture valves. results show length increased, proposed paper obtains than other algorithms literature.