In a significant advancement for the solar energy sector, researchers have introduced a novel control method designed to enhance the efficiency of parabolic trough solar fields (PTSF). This method, dubbed the constraint optimal model-based disturbance predictive and rejection controller (C-ODPRC), aims to address the challenges posed by multiple disturbances and operational constraints that often hinder optimal performance in solar power systems.
The lead author, Shangshang Wei from the School of Renewable Energy, Hohai University, emphasizes the importance of this breakthrough, stating, “As we strive toward a carbon-neutral future, optimizing the control of solar energy systems is not just beneficial; it’s essential. Our approach allows for real-time adjustments that can significantly enhance the reliability and efficiency of solar power generation.”
At its core, the C-ODPRC method integrates a predictive model that anticipates disturbances, such as fluctuations in direct normal irradiation and variations in heat transfer fluid parameters. This predictive capability is crucial for maintaining the field outlet temperature near the desired setpoint, a key factor in ensuring the safe and efficient operation of solar power plants. By dynamically correcting target sequences based on predicted future disturbances, the system can effectively manage the inherent challenges of high inertia in solar thermal systems.
One of the standout features of this research is its ability to transform an infinite number of constraint inequalities into a manageable form. Wei explains, “In traditional control strategies, the constraints on flow rates can lead to conflicts with disturbance rejection efforts. Our method resolves this by constructing a maximum controlled allowable set that simplifies these constraints, allowing for more effective control without compromising safety.”
The implications of this research extend beyond theoretical advancements. The enhanced control capabilities could lead to more stable and efficient solar power plants, ultimately driving down costs and increasing the viability of solar energy in the global energy mix. With the increasing emphasis on renewable energy sources, technologies like the C-ODPRC could play a pivotal role in accelerating the transition to sustainable energy systems.
As the solar industry continues to grow, the insights from this study, published in the journal ‘Energies’ (translated from the original Chinese title), will likely influence future developments in model predictive control and disturbance management. The potential for improved energy output and reliability could make solar power a more competitive option against traditional energy sources, further promoting the adoption of renewable technologies worldwide.
