We present a model predictive control (MPC) algorithm for energy management in aircraft with hybrid electric propulsion systems consisting of gas turbine and motor components. Series parallel configurations are considered. By combining point-mass dynamical models electrical losses the turbine, fuel consumed over given future flight path is minimized subject to constraints on battery, motor, tur...

• Reinforcement Learning based scheduling of industrial hybrid energy systems is developed. Hybrid mechanistic/data-driven modeling approach for optimal management proposed. solar/wind/fuel cell generation system integrated with chlor-alkali process. Minimization production cost and environmental carbon emissions achieved. The propagation distributed renewable resources poses several challenges...

The stand-alone energy system having a photovoltaic (PV) panels or wind turbines have low reliability and high cost as compared with wind/PV hybrid energy system. In this study, Biogeography Based Optimization (BBO) algorithm is developed for the prediction of the optimal sizing coefficient of wind/ PV hybrid energy system in remote areas. BBO algorithm is used to evaluate optimal component siz...

Photosensitization properties of coronene-purine (Cor-P) hybrids for photodynamic therapy (PDT) have been investigated in this work. Eight hybrid Cor-P models have been designed by the additional of adenine (A) and guanine (G) nucleobase to Cor species. The evaluated absorption and emission energies indicated that the singular models are not good at all for PDT process whereas their hybrid mode...