Document Type

Journal Article

Publication Title

Journal of Thermal Engineering

Volume

8

Issue

1

First Page

52

Last Page

66

Publisher

Yildiz Technical University

School

School of Engineering

Comments

BEHNAM, P., FAEGH, M., FAKHARI, I., AHMADI, P., FAEGH, E., & ROSEN, M. A. (2022). Thermoeconomic analysis and multi-objective optimization of a novel trigeneration system consisting of kalina and humidification-dehumidification desalination cycles. Journal of Thermal Engineering, 8 (1), 52-66. https://doi.org/10.18186/thermal.1067015

Abstract

Low-temperature geothermal heat sources have the highest share of geothermal energy in the world. Utilization of these heat sources for energy and freshwater generation can play an important role in meeting energy and freshwater demands. To do so, this study aims to propose a novel trigeneration cycle powered by low-temperature geothermal sources. The proposed system, which is an integration of Kalina and humidification-dehumidification (HDH) cycles, is used for the generation of electricity, heating, and freshwater. For the Kalina cycle, an evaporative condenser is used. It also acts as a humidifier and heater of the humidification-dehumidification desalination cycle, resulting in a reduction in the complexity of the trigeneration system. A comprehensive thermoeconomic analysis and multi-objective optimization of the new trigeneration system are performed. First, a detailed parametric study is carried out to investigate the effects of key design parameters, including turbine inlet pressure, condenser temperature, basic solution ammonia concentration, air mass flow rate and heat source temperature, on the thermoeconomic criteria. Then, a multiobjective optimization is conducted to determine the best design parameters, considering exergy and total cost rate as the objective functions. The optimal solution Pareto frontier indicates that the exergy efficiency and total cost rate vary in the range of 14.9-41.6% and 1.13-2.19 $/h, respectively. Analyses of the scattered distributions of design parameters reveal that lower heat source temperatures tend to optimize the objective functions. However, altering other design parameters has a significant effect on the trade-off between exergy efficiency and total cost rate.

DOI

10.18186/thermal.1067015

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

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