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. In theory assumption are made when optimizing Modeling 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, steady flow conditions. The energy system quality differs on the operation environments, ejector geometry and the choice of working fluid (refrigerant).The study carries out on the refrigeration system with solar-driven ejector (RSSE) using R141b, for an administration building application HVAC 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 optimum operating condition, an output of calculations show that through the work times from 6:00 to 18:00, the typical Coefficient Of Performance and the typical solar segment of the usage were 0. 3 and 0.715 in that order as the working environments are: high temperature source (90 °C), evaporative temperature (8 °C), low sink temperature (32 °C).