Dynamic algorithm to boost the synergy between biogas plants and photovoltaic plants

Abstract

This research work proposes an efficient management algorithm for the integration of a biogas and photovoltaic plant for self-consumption. The algorithm is based on the optimization of production and energy use in the plants to meet demand at a reduced cost. The algorithm has been validated using models and simulations, using real data from experimental trials, and comparing the results with simple, non-adaptive control strategies. The results obtained show that the synergy between biogas production and solar energy generation is a promising strategy to increase efficiency and sustainability of electricity production. The algorithm has the potential to overcome technical and economic challenges and is a valuable tool for medium-sized installations. Furthermore, the study found that the algorithm can reduce the cost of electricity by up to 5% on average and even more under certain conditions. Additionally, this research highlights the need for further studies to develop advanced algorithms that are adaptable to different scenarios and weather conditions.