The pressure retarded osmosis process is emerging as one of the most promising technologies for extracting renewable energy from salinity gradient resources. The hybrid system of the pressure retarded osmosis and photovoltaic/thermal systems is capable of effectively improving overall energy efficiency. The prime research focus of hybrid energy systems is to produce environment-friendly solutions by minimizing energy consumption and improving energy efficiency. Due to the increasing demand for intelligent computing, the challenges of maximum power extraction and efficient energy management have attracted the attention of researchers around the world. Thus, a Honey Badger Approach based energy management strategy is proposed to solve the problem of performance enhancement in the pressure retarded osmosis and photovoltaic/thermal system by maximizing the multi-variable functions. The Honey badger approach uses global sight to tackle the optimization of multiple objectives and to achieve optimal solutions. The proposed energy management method is tested with various types of operational environments, including variations in the operational temperature, solar irradiance and ambient temperature in regard to detrimental effects. The practical hourly data of Perth for a year is utilized to simulate the actual operating conditions. The simulation results indicate that the proposed energy management method overwhelms other competing approaches with better energy efficiency, thereby ensuring the continuity of energy supply and improving the reliability of the system.