MULTI-CRITERIA OPTIMIZATION OF AN AUTONOMOUS HYBRID BIOGAS PLANT: MINIMIZING PAYBACK PERIOD, ENERGY LOSSES, AND CO₂ EMISSIONS
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This article presents the development of an objective function for multi-criteria optimization of the energy efficiency of a hybrid biogas plant (HBP), integrated with photovoltaic (PV) systems and solar thermal collectors. The proposed model considers five key parameters: solar collector area, PVsystem capacity, bioreactor volume, anaerobic digestion temperature, and substrate mixing rate. The objective function aims to minimize the payback period, energy losses, and CO₂ emissions, while taking into account both technical and economic constraints. The analysis of parameter dependencies on efficiency criteria reveals their nonlinear nature and the existence of optimal ranges, which underscores the need for optimization methods such as scalarization, evolutionary algorithms, or simulation modeling. The results demonstrate the potential of hybrid systems to improve energy efficiency and environmental sustainability through the synergistic use of renewable energy sources. This research contributes to the development of hybrid biogas plant design methodology and can serve as a foundation for the practical implementation of energy-efficient bioenergy systems.
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