Hybrid photovoltaic and biogas system for stable power system

Abstract

The urgency of addressing climate change has underscored the necessity for implementing a new energy policy. Lately, an increasing number of countries and corporations have initiated the exploration of alternative energy sources to replace fossil fuels. There is a rising interest among individuals in photovoltaic solar panels as a sustainable means of generating electricity. Photovoltaic solar systems, on the other hand, rely significantly on weather conditions. As a result, the electricity generated by photovoltaic (PV) systems is unreliable. Harnessing biogas might serve as a captivating alternative for generating electricity. The study presents a proposal for a hybrid power system that combines PV solar panels and biogas. This system regards the PV solar system as the primary system. A forecast of PV production power is calculated using advanced machine-learning techniques. Subsequently, the projected power is juxtaposed with an approximation of the necessary load. If the PV system is unable to provide the necessary power demand, it is advisable to employ a biogas system to achieve a consistent and reliable power supply. Furthermore, this method offers a forecast of the daily waste demand for a reliable electrical grid. High-capacity manufacturing during the winter season is tested using a proposed solution for calculating biogas capacity and waste amount. The study introduces mathematical equations to address the daily biomass requirements of the system and implements an automated control system to oversee operations. The utilization of the proposed equations and control flow chart methodology effectively facilitates the precise quantification of methane generated from beef manure, reducing the margin of error from 12.82% to 8.28%. Additionally, it enables prompt adjustments to optimize equipment performance. This approach assists engineers in streamlining assessments and lays the groundwork for future improvements in design parameters.

Keywords

• PV solar panel
• Biogas system
• Hybrid system
• Prediction
• Power generation
• Power stability