Parametric optimization of blowdown operated double-effect vapour absorption refrigeration system

The present work investigates the thermodynamic optimality of a double-effect vapor absorption refrigeration system (VARS) driven by blowdown heat 210 MW thermal power plant at Badarpur using response surface methodology (RSM). RSM helps to develop relation amongst decision variables and second law efficiency vi se cond-order nonlinear polynomial regression equation. In addition, analysis variance technique (ANOVA) is applied identify having significant effect on th e system’s performance. Moreover, coefficient structural bond (CSB) evaporator carried out. are temperatures high-pressure generator, low-pressure condenser, absorber, evaporator. Results conclude that affected significantly absorber temperature (F value = 2049.4), followed condenser 1596.4), least generator 495). CSB Evaporator 0.5851.