Exergoeconomic analysis and multi objective optimization of a solar combined system (ORC – Ejector refrigeration system)
The demand for power consumption has increased during the past few decades, where fossil fuels dominated current energy systems. Therefore, finding novel solutions became a pressing challenge for many researchers. In fact, using low-grade renewable energy sources such as geothermal, solar and waste heat in industrial applications has acquired greater interest. In this work, solar energy is used in a combined ejector refrigeration system with an organic Rankine cycle (ORC) to produce a cooling effect and generate electrical power. This study presents an energetic, exergetic and exergoeconomic analysis of the system. The simulation results of the parabolic trough collector are used in the system evaluation. This work focuses on the design optimization and performance assessment of the system. A genetic algorithm is applied to permit multi-objective optimization, and optimal values are obtained for the design parameters (Evaporator temperature, Ejector ratio, Expansion ratio, isentropic efficiency of the turbine, extraction ratio). Two objective functions are considered, exergy efficiency and the total product unit cost, with the aim of maximizing the exergy efficiency and minimizing the total product unit cost. The results demonstrate that the optimal design point should be selected from the Pareto optimal solution front. The programming language used is MATLAB.
Rania HAMMEMI was born in 1994 Sfax, Tunisia. She graduated from the Energy Engineering Department of National Engineering School of Monastir, Tunisia in 2018. She is a PhD candidate and she is currently working on her thesis titled “Exergoeconomic analysis and multi objective optimization of a solar Cogeneration system”. She is working with “Energetic and Environment Research Laboratory ” in National Engineering School of Tunis.