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Numerical Investigation of a modified Kalina cycle system for high-temperature application and genetic algorithm based optimization of the multi-phase expander’s inlet condition

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Energy and AI 2021年第4期6卷 71-87页

作者： Mohammad Masrur hossain mdsakib hossain Niyaz Afnan Ahmed M Monjurul Ehsan Department of Mechanical and Production Engineering Islamic University of TechnologyBoard BazarGazipur 1704Bangladesh

As an alternative to the conventional steam Rankine Cycle,Kalina Cycle has witnessed a growing interest over the past years for high-temperature applications(A working fluid temperature of 500◦C at the turbine inlet).However,the possibility of implementing an additional multi-phase expander on the weak ammonia-water solution loop of the Kalina cycle was hardly analyzed in the available *** this research,two novel Kalina cycles(Kalina cycle-12A and Kalina cycle-12B)have been presented by integrating a multi-phase expander in addition to the turbine installed downstream of the Kalina *** Kalina cycle-12A,this additional multi-phase expander is positioned downstream of the Kalina separator and on the weak ammonia-water solution loop for Kalina Cycle-12B.A detailed mathematical model based on the thermodynamic laws has been developed to solve and optimize the Kalina *** influence of critical decision parameters,specifically the ammonia concentration on working fluid and evaporation pressure,were *** optimization was performed based on the objective to maximize the net power output from the multi-phase expander under steady-state operating *** the performance of the proposed Kalina cycles was compared with the conventional Kalina Cycle-12,both of them demonstrated superior performance,i.e.,net power output and peak thermal efficiency increased by a maximum value of 3.23%for the proposed Kalina Cycle-12A cycle and 3.94%for the proposed Kalina Cycle-12B *** terms of second law efficiency,Kalina Cycle-12A is 3.68 percent more efficient than Kalina Cycle-12,while Kalina Cycle-12B is 4.04 percent more ***,2nd law analysis also reveals,maximum destruction of exergy occurs at the condensers of the cycles.

关键词： Kalina cycle Genetic algorithm-based optimization Exergy analysis High temperature

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