Eventos Anais de eventos
ENCIT 2016
16th Brazilian Congress of Thermal Sciences and Engineering
COMPARATIVE STUDY OF KALINA CYCLES FOR WASTE HEAT RECOVERY IN THE CEMENT INDUSTRY
Submission Author:
Felipe Raul Ponce Arrieta , MG
Co-Authors:
Elviro Pereira Barbosa Junior, Cláudio Silva
Presenter: Felipe Raul Ponce Arrieta
doi://10.26678/ABCM.ENCIT2016.CIT2016-0444
Abstract
The comparative study of Kalina cycles for waste heat recovery in the cement industry aims to optimize the power generated and the generation cost. This study compared two Kalina cycles, KCS1-1 and KCS34-SA1, for waste heat recovery from the gases of cyclonic preheater in the cement industry. The cycles were simulated in four different clinker production capacity. The basis of the study of these cycles was the thermodynamic modelling, the exergy analysis and the optimization using genetic algorithms. Models developed in the Engineering Equation Solver (EES) contain the mass, energy, entropy and exergy balances, exergetic fuels and products, exergetic efficiencies and irreversibility by components of the cycle, and the estimation of the power generation cost. Parametric studies were conducted in order to observe the influence on the performance and power generation cost of some independent variables, such as the ammonia concentration and the pressure at the turbine inlet. The performed optimization by Genetic Algorithm aims to obtain the optimal condition of the schematic cycles under a specified objective function. The comparative study indicated that in Kalina Cycle KCS1-1 the lower power generation cost presented was 126.6 R$/MWh for a power of 4,643 kW, while for Kalina Cycle KCS34-SA1 the power generation cost was 131.8 R$/MWh for a power of 5,091 kW. For maximum power, the cycles KCS1-1 and KCS34-SA1 yielded results of 4,927 kW and 5,746 kW, respectively. Finally, the maximum energetic and exergetic efficiencies have obtained results very close to 23.7% and 52.8%. We have concluded that, given the great similarities in the thermodynamic performance of the cycles investigated, the criteria for defining the appropriate cycle have become merely economical.
Keywords
Waste heat Recovery, Exergy Analysis, Numerical simulation, Optimization, genetic algorithm
