This article shows how coalitional model predictive control (MPC) can be used to maximize thermal power of large-scale solar parabolic-trough plants. This strategy dynamically …
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 …
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 …
This article focuses on maximizing the thermal energy collected by parabolic-trough solar collector fields to increase the production of the plant. To this end, we propose a market …
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 …
We apply the tensor train (TT) decomposition to construct the tensor product polynomial chaos expansion (PCE) of a random field, to solve the stochastic elliptic diffusion PDE with …
One of the most vital concerns in evaluating power generation systems is the comprehensive review of all useful indexes. In the vast range of researches regarding …
This work illustrates the synergy that exists between solar thermal and fossil fuel energy systems. By adding degrees of freedom and optimizing the system, more solar energy can …
Optimal operation of solar plant is a challenge due to the multiple disturbances affecting the plant. Research in optimal temperature set-point tracking is extensive whereas research …