Dynamic performance of an aiming control methodology for solar central receivers due to cloud disturbances
Authored by Jesus M Garcia, Ricardo Vasquez Padilla, Marco E Sanjuan, Yen Chean Soo Too, Andrew Beath, Jin-Soo Kim
Date Published: 2018
DOI: 10.1016/j.renene.2018.01.019
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Abstract
An appropriate control of the heat flux distribution over the solar
central receiver is essential to achieve an efficient and safe operation
of solar tower systems. High solar radiation variation due to moving
clouds may cause failures to the solar receiver. This paper shows a
dynamic performance analysis of a solar central receiver operating when
short-time cloud passages partially shade the solar field. The solar
receiver incorporates an aiming methodology based on a closed loop model
predictive control approach. The DNI changes are simulated using an
agent-based model that closely emulates the transients in solar
radiation caused by clouds. These models are coupled with a solar system
model that resembles the Gemasolar solar plant. The simulations showed
that the base feedback loop aiming strategy could successfully restore
the solar receiver back to its steady state after transient operations
caused by clouds. However, undesired overshoots in incident flux density
and high heating rates in the controlled variables were found. These
issues are overcome through a setpoint readjustment approach, which is
temporally supported by a P1 controller. The results show that the
proposed aiming control strategy can provide a continuous safe operation
of the solar central receiver when subject to transient flux
distribution due to clouds. (C) 2018 Elsevier Ltd. All rights reserved.
Tags
Simulation
Design
Strategy
Energy
System
Solar central receiver
Heliostat aiming
Multivariable closed control
loop
Concentrating solar thermal
Cloud disturbances
Thermal power-plant
Flux distribution
Heliostat field
Tower plants