Parameters identification for scroll expander semi-empirical model by using genetic algorithm

Author(s): 
E. Fanellia, G. Pintoa, G. Cornacchia and G. Braccio (ENEA)

In this paper a small Organic Rankine Cycle (ORC) plant was tested under different operating conditions and by using refrigerants (R245fa) as working fluids. An in-house code (MatLab/Scilab based) using CoolProp library for the accurate evaluation of fluid properties, was optimized by using a genetic algorithm implemented in modeFrontier software. Thus, the validated model was used in predictive mode to evaluate the machine performances.