C Conferentia Proceedings
CILAMCE2017-0350 COMPUTATIONAL THERMAL SCIENCES

WORKING FLUID SELECTION AND OPTIMIZATION OF ORC FOR WHR IN CEMENT PRODUCTION PROCESS

MOREIRA, L. F.1; ARRIETA, F. R. P.1; BARBOSA JUNIOR, E. P.1; HORTA, G. R. C.1

1 Pontifical Catholic University of Minas Gerais

doi:10.20906/CPS/CILAMCE2017-0350

Resumo

The cement industry accounts for one of the highest electric energy consumption among all industrial sectors. The waste heat recovery (WHR) system provided by the organic Rankine cycle (ORC) is able to produce electricity from waste heat sources of the cement production process with no additional fuel consumption. This paper proposes a methodology for working fluid selection in order to select the most suitable organic fluids to perform on a real ORC. This approach is based on a fluids' safety and environmental characteristics, thermodynamic properties presented in an ideal ORC and their saturated vapour curves. Afterwards, real ORCs under subcritical and subcritical with superheating operating conditions were designed and optimized using the genetic algorithm method in Equation Engineering Solver (EES) software with the previous working fluids chosen. According to the proposed methodology, eight out of fifty-four organic fluids were designated as the most appropriate ones to work with the real ORC. In addition, results showed that the subcritical with superheating ORC performed better than the subcritical ORC in terms of net power output, thermal and exergy efficiencies. Moreover, the isentropic working fluid R141b achieved the greatest results in the subcritical ORC, while another isentropic fluid, R11, presented the highest effectiveness in the subcritical with superheating operating condition.

Palavras-chave: Organic Rankine cycle; Waste heat recovery; Genetic algorithm; Cement industry

Como citar

MOREIRA, L. F.; ARRIETA, F. R. P.; BARBOSA JUNIOR, E. P.; HORTA, G. R. C.. “WORKING FLUID SELECTION AND OPTIMIZATION OF ORC FOR WHR IN CEMENT PRODUCTION PROCESS”. XXXVIII Ibero-Latin American Congress on Computational Methods in Engineering. CILAMCE2017. 2017. DOI: 10.20906/CPS/CILAMCE2017-0350