Thermoeconomic analysis and optimization of a solar micro CCHP by using TLBO algorithm for domestic application

Abstract

ABSTRACTIn the present study, a micro solar Combined Cooling, Heating and Power (CCHP) system based on Organic Rankine Cycle (ORC) is thermodynamically and exergoeconomically investigated. Adding a storage tank will lead to the sustainable supply of energy for summer and winter seasons. The model of conservation of energy, conservation of mass, and conservation of linear momentum are applied in order to energy analysis, while a model based on the first and the second laws of thermodynamics are used to exergy analysis. Determining the effective parameters of the system efficiency, including turbine input pressure, turbine inlet temperature, turbine output pressure, and evaporator temperature leads to improve and optimize the system performance. The Teaching–Learning-Based Optimization (TLBO), for the first time in this paper, is employed for both single-objective and multi-objective optimizations of the system for three working fluids (R123, R134a, and R245fa). The accuracy of the proposed model is validated by data presented in three different papers. For the summer season, the values of the energy efficiency, exergy efficiency, and cost rate for R123 working fluid are calculated as 24.81%, 9.94%, and 5383$/year, respectively. The implementation of the multi-objective optimization using TLBO for R123 working fluid improves 27.85% thermal efficiency, 27.66% exergy efficiency and reduces 9.90% of the system cost rate.