Performace Evaluation By Exergy Analysis and Optimization of Organic Rankine Cycle (ORC) by Using Low-Grade Waste Heat

Abstract

This research study deals with the performance evaluation of low-grade exhaust waste heat using organic Rankine cycle (ORC) based on exergy and energy method. Performance variations in ORC system can be analyzed by altering the working parameter settings of the power cycle like the temperature of exhaust gasses or waste heat, evaporator pressure and mass flow rate are considered as independent variables. Performance parameters like exergy and thermal efficiency, net work output and evaporator exergy efficiency are also studied. Organic working fluids for the cycle is R134a, R123, R152a, and R227ea lies between the critical temperature limit of 101.1℃ to 214.1℃. Moreover, performance optimization for organic Rankine cycle is also studied with the help of response surface methodology (RSM) technique with three levels -1, 0 and +1, respectively. Independent variables considered to be optimized with the use of Design Expert software. The Simulation results of exergy efficiency, thermal efficiency and work output of ORC are considered as response variables, and these are concluded by EES software according to the randomly performed 17 treatments of Bob-Behnken design matrix. The responses are fitted into a quadratic polynomial representation and optimizations of these variables are performed simultaneously by using the desirability function (DF) method. At the optimized conditions with a desirability function of 0.990, the optimum value of exergy efficiency, thermal efficiency and work output for R134a are 85.58%, 29.44% and 75.89kJ, respectively.

Authors and Affiliations

Harwinder Singh, R. S. Mishra

Keywords

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  • EP ID EP24828
  • DOI -
  • Views 419
  • Downloads 18

How To Cite

Harwinder Singh, R. S. Mishra (2017). Performace Evaluation By Exergy Analysis and Optimization of Organic Rankine Cycle (ORC) by Using Low-Grade Waste Heat. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(7), -. https://europub.co.uk/articles/-A-24828