Abstract
Abstract: Suffering from greenhouse gas pollutions and demand of energy due to crude oil vanish lead to enforce worldwide to look out at alternative Energy sources. The theory assumptions are made when optimizing Modelling process, however in practice these assumptions can distort the output response thereby affecting precision and accuracy as a case study in refrigeration system for solar-driven ejector to determine the quality of the energy in the system by change high temperatures sources under the steady state, flow conditions. The quality differs on the operation environments, ejector geometry and the choice of working refrigerant fluid. The study carries out on the refrigeration system with solar-driven ejector (RSSE) using nonflammable Refrigerant Gas Mixture Dichloro-fluoro-ethane (R141b), for an administration building application Heating Ventilation Air Conditioning (HVAC) of energy system in Tripoli, Libya. The reported hourly outdoor temperature and solar radiation are used for the analysis of the system performance. The optimum parameters were employed to generate a model and predict the behavior of the system at different parameter condition. Using the best running condition, an output of calculations showed that through the work time from 6:00 to 18:00, the typical Coefficient of Performance and solar segment of the usage were found 0. 3 and 0.715 in that order the working environments have 90 °C temperature source, evaporative temperature, 32 °C sink temperature.