Año: 2021
Autores: , M.; , M.; Amicarelli, A.; Scaglia, G.;
Resumen: In this work, a novel methodology for the dynamic optimization of thebiodiesel batch production is developed. Two problem statements are carriedout, one considering only the final biodiesel concentration, and the other, alsotaking into account the control signal size in the optimization criterion as anindirect way to contemplate the energy employed. The proposed strategy tosolve the optimal control problem is based on the Fourier series for the parameterization of the reactor temperature profile. The main advantage of thisFourier-based sequential approach over competing methods is that the obtainedprofiles are smooth and continuous, which is important since smoothing techniques are not required for implementation in real systems. Besides, a minimumnumber of parameters to optimize is required. The process is modeled and simulated in Matlab and Simulink. The results were compared with those reportedin the literature. An improvement of up to five percent in the production ofbiodiesel is achieved without energy contemplation and three percent with energy contemplation, in both cases employing only three parameters.