Intelligent Optimization of Solar Operated Double-Effect Libr-H2o Absorption Refrigeration System

A double effect absorption refrigeration system is under observation in this work where solar energy is utilized to provide thermal input. The solar collector is considered for study of the operation of current system which encourage the use of renewable energy sources for analysis and several other exergy based applications for energy sustainability and management. The parameters for various components are also included in the computational model to check the effects of exergy losses associated with the streams of the components of the system, using Engineering Equation Solver (EES). The performance of the system on the basis of variables provide the cost effectiveness as well as thermal balancing of overall assembly. An intelligent optimization technique (TLBO) is used to find optimal set of thermal parameters in a multi-objective optimization process. These values of absorber, condenser and generator temperatures are studied to learn the behavior of the system. The external streams in heat exchanging components play a significant role in performance of VARS. This work provides the relation between the control variables and focus on aspects of flow and energy utilization.