4E analyses and multi-objective optimization of cascade refrigeration cycles with heat recovery system

Mofrad, Kamyar Golbaten; Zandi, Sina; Salehi, Gholamreza; Manesh, Mohammad Hasan Khoshgoftar

doi:10.1016/j.tsep.2020.100613

Cited by 12 publications

(3 citation statements)

References 32 publications

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“…Cui et al (Cui et al, 2019) carried out energy, exergy, and economic analysis on a cascade absorption refrigeration for low-grade waste heat recovery and investigated the influence of various operating parameters on the thermodynamic properties and financial cost. Golbaten et al (Golbaten Mofrad et al, 2020) compared and optimized the performance of a cascade refrigeration cycle based on the analytical methods of energy, exergy, economy, and environment and found that the system performance could be significantly improved by applying waste heat recovery. Kumar et al (Kumar Singh et al, 2020) compared and analyzed the energy, exergy efficiency, and economy in a cascade refrigeration system and obtained the optimal working pairs.…”

Section: Introductionmentioning

confidence: 99%

“…Kumar et al (Kumar Singh et al, 2020) compared and analyzed the energy, exergy efficiency, and economy in a cascade refrigeration system and obtained the optimal working pairs. Mofrad et al (Golbaten Mofrad et al, 2020) investigated a cascade refrigeration cycle with the heat recovery system. The optimization results revealed that applying the heat recovery cascade refrigeration cycle could increase 7.6% of COP and 12.5% of exergy efficiency.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation and optimization of a novel cascade refrigeration system driven by waste heat

et al. 2023

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Direct discharge of waste heat from internal combustion engines (ICEs) is unfavorable for the efficient and clean fuel utilization. Here, a novel combined absorption-compression cascade refrigeration cycle is proposed to efficiently capture low-grade waste heat and supply cooling capacity for food freezing in vessels or refrigerated trucks. The intention of this work lies in: i) Comprehensively evaluating the performances of the proposed system; ii) Gaining the optimal operating conditions of the system. Aimed that, analysis models of energy, exergy, economy, and environment are set up to evaluate the sweeping performances. Further, multi-objective optimization is introduced to obtain the optimal operating parameters including evaporation and condensation temperature of the low-temperature stage, generation temperature and condensation temperature of the high-temperature stage, and cascade temperature differences. By applying multi-objective optimization, the coefficient of performance and exergy efficiency of the system are elevated from 1.283 to 1.547, and 0.222 to 0.246, respectively, the discharge amount of carbon dioxide are reduced from 71.40 to 59.57 tons year−1, and annual total cost are decreased from 16,028 to 15,055 $ year−1 compared to initial operating conditions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation and optimization of a novel cascade refrigeration system driven by waste heat

et al. 2023

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“…The cooling capacity of the system and the annual cost rate are considered as objective functions. Golbaten Mofrad et al [13]have conducted 4E analyses for a cascade refrigeration system with natural working fluids. The cycle's multi-objective optimization has been done utilizing the objective functions of exergy efficiency, product cost rate, energy efficiency, and product environmental impact on finding the system's optimal operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Comparative 4E and advanced exergy analyses and multi-objective optimization of refrigeration cycles with a heat recovery system

Mofrad

Zandi

Salehi

et al. 2020

International Journal of Thermodynamics

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This paper aims to provide comprehensive 4E (energy, exergy, exergoeconomic, and exergoenvironmental) and advanced exergy analyses of the Refrigeration Cycle (RC) and Heat Recovery Refrigeration Cycle (HRRC) and comparison of the performance with R744 (CO2) and R744A (N2O) working fluids. Moreover, multi-objective optimization of the systems has been considered to define the optimal conditions and the best cycle from various perspectives. In HRRC, heat recovery is used as a heat source for an organic Rankine cycle. The energy and exergy analysis results show that utilizing HRRC with both refrigerants increases the coefficient of performance (COP) and exergy efficiency. COP and exergy efficiency for HRRC-R744 have been obtained 2.82 and 30.7%, respectively. Due to the better thermodynamic performance of HRRC, other analyses have been performed on this cycle. Exergoeconomic analysis results show that using R744A leads to an increase in the total product cost. Total product cost with R744 and R744A have been calculated by 1.56 $/h and 1.96$/h, respectively. Additionally, to obtain the processes' environmental impact, Life Cycle Assessment (LCA) is used. Exergoenvironmental analysis showed that using R744A increases the product environmental impact by 32%. Owning to the high amount of endogenous exergy destruction rate in the compressor and ejector compared to other equipment, they have more priority for improvement. Multi-objective optimization has been performed with exergy efficiency and total product cost objective functions as well as COP and product environmental impact for both refrigerants, which indicates that HRRC-R744 has better performance economically and environmentally. In optimal condition, the value of exergy efficiency, total product cost, COP, and the product environmental impact have been accounted for by 28.51%, 1.44 $/h, 2.76, and 149.01 mpts/h, respectively.

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Comparative thermoeconomic optimization and exergoenvironmental analysis of an ejector refrigeration cycle integrated with a cogeneration system utilizing waste exhaust heat recovery

Fazeli

Zandi

Mofrad

et al. 2022

Env Prog and Sustain Energy

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Two cogeneration cycles based on gas turbines have been compared by means of thermoeconomic and environmental analyses. The analyzed cogeneration systems are gas turbine, organic Rankine cycle (GT + ORC) and an integrated system including gas turbine, organic Rankine cycle, and ejector refrigeration cycle (GT + ORC + ERC). This work has focused on environmental considerations and thermoeconomic evaluation to decrease destruction cost and environmental impacts. The examination of cycles is conducted from energy, exergy, exergoeconomic, and exergoenvironmental (4E) perspectives. A computer MATLAB program is used to generate the simulation results, and the REFPROP 9.1 database is utilized to get thermodynamic properties of the working fluids. The use of the refrigeration evaporator in GT + ORC + ERC increased energy and exergy efficiencies. Multi-objective optimization results indicate that the waste heat utilization in the trigeneration system is more effective in all aspects. In optimal conditions, the exergy efficiency and destruction cost of the GT + ORC + ERC system reached 40.76% and 151.95$ h À1 , respectively. Moreover, optimization is performed by means of energy efficiency and destruction environmental impact as objective functions, and the optimum values are obtained at 30.67% and 46,918.30 mpts h À1 , respectively.

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4E analyses and multi-objective optimization of cascade refrigeration cycles with heat recovery system

Cited by 12 publications

References 32 publications

Evaluation and optimization of a novel cascade refrigeration system driven by waste heat

Evaluation and optimization of a novel cascade refrigeration system driven by waste heat

Comparative 4E and advanced exergy analyses and multi-objective optimization of refrigeration cycles with a heat recovery system

Comparative thermoeconomic optimization and exergoenvironmental analysis of an ejector refrigeration cycle integrated with a cogeneration system utilizing waste exhaust heat recovery

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