Thermodynamic analysis and multi-objective optimization of various ORC (organic Rankine cycle) configurations using zeotropic mixtures

Sadeghi, Mohsen; Nemati, Arash; Ghavimi, A.R.; Yari, Mortaza

doi:10.1016/j.energy.2016.05.022

Cited by 186 publications

(40 citation statements)

References 23 publications

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“…They have found R245fa-also known as Pentafluoropropane-the most efficient working fluid used in a waste heat recovery ORC system [5]. The same result was found in other researches [6,7]. Scardigno et al, 2016 [8] examined the thermo-economic performances for an ORC fed by solar energy.…”

Section: Introductionmentioning

confidence: 70%

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Exergo-Economic Optimization of Organic Rankine Cycle for Saving of Thermal Energy in a Sample Power Plant by Using of Strength Pareto Evolutionary Algorithm II

et al. 2020

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Waste heat recovery plays an important role in energy source management. Organic Rankine Cycle (ORC) can be used to recover low-temperature waste heat. In the present work a sample power plant waste heat was used to operate an ORC. First, two pure working fluids were selected based on their merits. Four possible thermodynamic models were considered in the analysis. They were defined based on where the condenser and evaporator temperatures are located. Four main thermal parameters, evaporator temperature, condenser temperature, degree of superheat and pinch point temperature difference were taken as key parameters. Levelized energy cost values and exergy efficiency were calculated as the optimization criteria. To optimize exergy and economic aspects of the system, Strength Pareto evolutionary algorithm II (SPEA II) was implemented. The Pareto frontier solutions were ordered and chose by TOPSIS. Model 3 outperformed all other models. After evaluating exergy efficiency by mixture mass fraction, R245fa [0.6]/Pentane [0.4] selected as the most efficient working fluid. Finally, every component’s role in determining the levelized energy cost and the exergy efficiency and were discussed. The turbine, condenser and evaporator were found as the costliest components.

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Section: Introductionmentioning

confidence: 70%

“…Molar Mass, 2 Critical Temperature,3 Critical Pressure,4 Global Warming Potential,5 Ozone Depletion Potential,6 Atmospheric lifetime.…”

mentioning

confidence: 99%

Exergo-Economic Optimization of Organic Rankine Cycle for Saving of Thermal Energy in a Sample Power Plant by Using of Strength Pareto Evolutionary Algorithm II

et al. 2020

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“…The cycles with pure fluids were found to be generally cheaper than those with fluid mixtures. Sadeghi et al [32] presented a thermodynamic analysis and multi-objective optimization of various ORC configurations (with one or two evaporators) using zeotropic mixtures as working fluid. The decision variables included the evaporation pressure, the minimum pinch point temperature difference, and the degree of superheat.…”

Section: Refmentioning

confidence: 99%

A review of recent research on the use of zeotropic mixtures in power generation systems

Modi

Haglind

2017

Energy Conversion and Management

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“…The essentiality of design method and off-design performance analysis in the investigation of it was stressed in many studies. Sadeghi et al 23 presented a multiobjective optimization of ORC system. [19][20][21] Awais Ahmed et al 22 presented a design method for the ORC system in a cement factory.…”

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confidence: 99%

“…Then the exergy distribution of the cycle was obtained through exergy analysis. Sadeghi et al 23 presented a multiobjective optimization of ORC system. The optimization objects mainly include the net power and size properties.…”

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confidence: 99%

Improved thermodynamic and aerodynamic design method and off‐design performance analysis of a radial inflow turbine for ORC system

Han

Jia

2019

Int J Energy Res

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Summary Radial inflow turbine is one of the crucial components of organic Rankine cycle (ORC) system, which has great impact on the performance of system. R245fa was selected as the working fluid to recycle the waste heat source with a temperature of 350 to 400 K. The genetic algorithm (GA) was employed in thermodynamic design to optimize the 10 key design parameters, which are needed in aerodynamic design of the ORC turbine. Isotropic efficiency was the fitness function of 10 key variables in GA. The three‐dimensional geometry model was built based on the thermodynamic and aerodynamic design and then was imported into the commercial software ANSYS‐CFX to conduct viscous numerical simulation. Based on the three‐dimensional simulation, the off‐design performance in different mass flow rate, static inlet temperature coupled with different rotational speed was investigated respectively. The results show that at design condition, the maximum efficiency deviation is only 2.5% with the rotational speed variations among the range of 10%, so the radial inflow turbine designed in this research possesses great off‐design performance.

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Thermodynamic analysis and multi-objective optimization of various ORC (organic Rankine cycle) configurations using zeotropic mixtures

Cited by 186 publications

References 23 publications

Exergo-Economic Optimization of Organic Rankine Cycle for Saving of Thermal Energy in a Sample Power Plant by Using of Strength Pareto Evolutionary Algorithm II

Exergo-Economic Optimization of Organic Rankine Cycle for Saving of Thermal Energy in a Sample Power Plant by Using of Strength Pareto Evolutionary Algorithm II

A review of recent research on the use of zeotropic mixtures in power generation systems

Improved thermodynamic and aerodynamic design method and off‐design performance analysis of a radial inflow turbine for ORC system

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