Novel integration and optimization of reliable photovoltaic and biomass integrated system for rural electrification

The novel concept of using hybrid renewable resources to provide clean energy helps to address the unique shortcomings of each renewable source. This study describes an innovative concept about the design of optimal grid PV/biomass 100 % renewable and fully reliable energy systems without considering energy storage devices. By leveraging community solar and biomass resources, the proposed system can power remote villages with a minimum cost of energy. Multi-Objective Genetic Algorithm (MOGA) is employed to perform an optimal procedure. The PV-biomass deployment project's economic viability is assessed using financial metrics such as net present cost (NPC) and cost of energy (COE). In order to install a hybrid system at the chosen site, the optimal configuration (PV 87 kW, biomass1 29 kW, and biomass2 125 kW) was examined. The NPC, COE, and total system cost, in this configuration, are 118, 942, 0. 02/kWh, and 892, 892, respectively. The combined yearly consumption of the biomass1 and biomass2 generators is 704. 81 tons of wheat straw. The total annual CO2 emissions of the PV, biomass1, and biomass2 generators in this system are avoided by 729. 5 tons. The findings clearly demonstrate that the suggested approach can manage a reliable power flow with a suitable configuration. The solar PV and biomass system examined in this study will probably be a specialized solution in regions with abundant biomass resources; nevertheless, it offers a reliable starting point for the creation of larger-scale bioenergy value chains with the long-term objective of generating electricity from wheat straw biomass materials.