Title: Exergoeconomic optimisation of basic and regenerative triple-evaporator combined power and refrigeration cycles

Authors: Hadi Rostamzadeh; Keivan Mostoufi; Mohammad Ebadollahi; Hadi Ghaebi; Majid Amidpour

Addresses: Department of Aerospace Engineering, Sharif University of Technology, Azadi Street, Tehran, 5613775765, Iran ' Department of Aerospace Engineering, Sharif University of Technology, Azadi Street, Tehran, 5613775765, Iran ' Faculty of Mechanical Engineering, Department of Energy System Engineering, K.N. Toosi University of Technology, Tehran, 1991943344, Iran ' Faculty of Engineering, Department of Mechanical Engineering, Mohaghegh Ardabili University, P.O. Box 179, Ardabil, 5619911367, Iran ' Faculty of Mechanical Engineering, Department of Energy System Engineering, K.N. Toosi University of Technology, Tehran, 1991943344, Iran

Abstract: This paper deals with reconstruction of conventional combined cooling and power (CCCP) cycle for producing simultaneous power and cooling outputs for triple applications of freezing, refrigeration and air-conditioning. The proposed systems are integrated from organic Rankine cycles (ORCs) and an ejector refrigeration cycle (ERC). Single- and multi-objective optimisations of the proposed systems are conducted from energy, exergy and exergoeconomic viewpoints, using genetic algorithm (GA). The results of optimisation revealed that the thermal efficiency of the basic triple-evaporator CCP (B-TECCP) and regenerative TECCP (R-TECCP) systems can be improved by 7.48% and 6.23%, respectively, whereas the exergy efficiency of the proposed systems is enhanced by 10.83% and 6.84%, respectively. In addition, the sum unit cost of product of the system is also decreased by 11.88% and 15.19% for B-TECCP and R-TECCP systems, respectively, through this optimisation mode. At last, a comprehensive parametric study is performed to give more information from operating conditions of the proposed systems for designers.

Keywords: triple-evaporator; cogeneration; thermodynamic analysis; thermoeconomic analysis; optimisation; genetic algorithm.

DOI: 10.1504/IJEX.2018.092513

International Journal of Exergy, 2018 Vol.26 No.1/2, pp.186 - 225

Received: 08 Sep 2017
Accepted: 13 Jan 2018
Published online: 23 Jun 2018 *

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