Hybrid Renewable Energy Systems (HRES) are gaining significant attention for their potential to offer a sustainable and uninterrupted power supply in industrial environments. These systems integrate multiple renewable energy sources such as photovoltaic panels, wind turbines, and biomass converters, which collectively enhance reliability, reduce carbon footprint, and optimize energy costs. This paper investigates the design, simulation, and performance evaluation of an HRES tailored for sustainable mechanical operations in industrial settings. The system integrates three core components: photovoltaic arrays (Monocrystalline silicon panels), horizontal-axis wind turbines (HAWT), and a biomass gasifier-based generator. Each unit is interfaced with a power-conditioning unit and connected to a hybrid controller for energy management. Sensors, including pyranometers, anemometers, and thermocouples, are incorporated to monitor real-time environmental parameters. This paper proposes a framework that evaluates energy efficiency, power reliability, and cost optimization under varying load and weather conditions. A performance comparison is conducted between two different controller strategies: Rule-Based Control (RBC) and Fuzzy Logic Control (FLC). Key performance indicators such as Levelized Cost of Energy (LCOE), Renewable Energy Fraction (REF), and Net Present Cost (NPC) are analyzed. Simulation outcomes confirm that the proposed hybrid configuration can significantly enhance energy stability and operational sustainability in mechanical industries. The incorporation of biomass energy as a supplementary source enables system resilience during low solar and wind periods. The findings offer valuable insights into future integration strategies of renewable systems in industrial contexts and establish a basis for intelligent energy policy design aimed at industrial decarbonization.