Performance prediction and working fluids selection for organic Rankine cycle under reduced temperature

Chen, Guibing; An, Q.; Wang, Yongzhen; Zhao, Jianlin; Chang, Nini; Alvi, Junaid

doi:10.1016/j.applthermaleng.2019.02.011

Cited by 35 publications

(3 citation statements)

References 31 publications

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“…Brown et al [50] conducted a parametric study that revealed the critical temperature to be approximately 100 to 150% of the heat source to yield maximum efficiency. Chen et al [51] claimed the maximum exergetic efficiency is reached when the critical temperature reached the heat source temperature, in the case when the condensing temperature and the reduced evaporating temperature were 40 • C and 0.85, respectively. Yang et al [52] recommended that critical temperature can be used for screening of the working fluids for low temperature heat sources.…”

Section: Working Fluid Candidatesmentioning

confidence: 99%

Integrated Vapor Compression Chiller with Bottoming Organic Rankine Cycle and Onsite Low-Grade Renewable Energy

et al. 2021

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The present study offers a scheme to improve the performance of existing large-scale chillers. The system involves raising the temperature of the chiller’s cooling water stream using renewable energy sources by incorporating an organic Rankine cycle (ORC). The thermal analysis was conducted by raising the temperature of one-third of the approximately 200 ton chiller’s cooling water. The investigation was considered for ORC evaporator inlet temperature of 90~120 °C by the step of 10 °C. Various working fluids for the different ORC evaporator inlet temperatures were examined. Sensitivity analyses conducted on the degree of superheating, degree of subcooling, condenser saturation temperature, pinch point temperature differences of the ORC evaporator and condenser, and the mass flowrates of the heating and cooling streams were also reported. Genetic algorithm was employed to carry out the optimization. The best options for the ORC working fluid at the heating source ORC evaporator inlet temperatures of 90 °C was found to be DME, presenting an improvement of 48.72% in comparison with the rated coefficient of performance (COP) value of the VCC, with a renewable energy input requirement of 710 kW. At the heat source temperatures of 100 °C and 110 °C, butene, which presented an improvement in the COP equal to 48.76% and 68.85%, respectively, with the corresponding renewable energy requirements of 789.6 kW and 852 kW, was found to be the ideal candidate. Meanwhile, at the heat source inlet temperature of 120 °C, R1233zd (E), representing an improvement of 140.88% with the renewable energy input of around 1061 kW, was determined to be the most favorable ORC working fluid candidate.

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Section: Working Fluid Candidatesmentioning

confidence: 99%

Integrated Vapor Compression Chiller with Bottoming Organic Rankine Cycle and Onsite Low-Grade Renewable Energy

et al. 2021

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“…1 Key physical properties affecting the cycle performance are the critical temperature, latent heat of vaporization, specific heat, boiling point, and molecular weight. 2 Another fundamental characteristic of a working fluid is the slope of the temperature−entropy (T−S) vapor saturation curve. According to this feature, a fluid can be classified as wet if the slope is negative at each point (dT/ds < 0), dry if the slope is positive at least in a region of the T−S vapor saturation curve (dT/ds > 0), or isentropic if the slope ds/dT is zero at some consecutive points.…”

Section: Introductionmentioning

confidence: 99%

“…A proper fluid selection must consider environmental impact, potential safety issues (flammability and toxicity), fluid stability and compatibility with materials in contact, and cost . Key physical properties affecting the cycle performance are the critical temperature, latent heat of vaporization, specific heat, boiling point, and molecular weight . Another fundamental characteristic of a working fluid is the slope of the temperature–entropy ( T – S ) vapor saturation curve.…”

Section: Introductionmentioning

confidence: 99%

Predicting the Slope of the Temperature–Entropy Vapor Saturation Curve for Working Fluid Selection Based on Lee–Kesler Modeling

Rivera-Alvarez¹,

Abakporo

Osorio

et al. 2019

Ind. Eng. Chem. Res.

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This paper presents a general, novel, and accurate method to determine the shape of the temperature–entropy (T–S) vapor saturation curve for fluids, based on Lee–Kesler’s version of the corresponding states principle. The slope of the T–S vapor saturation curve and the location of isentropic points are successfully predicted for any fluid as a function of only three input variables: acentric factor (ω), ideal-gas ratio of specific heats at the critical temperature (k c ), and the exponent of the heat capacity ratio vs temperature power relationship (m). The proposed method is then applied to a set of 120 commercially available fluids, and the results are validated with experimental data. As the method effectively distinguishes among dry, wet, and isentropic fluids, a simple semiempirical equation establishing the frontier between wet and dry fluid regions is discovered. The developed method can be used as an effective tool for working fluid selection for organic Rankine cycles (ORCs), refrigeration cycles, and heat pumps. It also has the potential to aid the development of new fluids with a proper set of characteristics for specific applications.

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Technical assessment of novel organic Rankine cycle driven cascade refrigeration system using environmental friendly refrigerants: 4E and optimization approaches

Bhuvaneshwaran

Kumar

2022

Environ Sci Pollut Res

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Performance prediction and working fluids selection for organic Rankine cycle under reduced temperature

Cited by 35 publications

References 31 publications

Integrated Vapor Compression Chiller with Bottoming Organic Rankine Cycle and Onsite Low-Grade Renewable Energy

Integrated Vapor Compression Chiller with Bottoming Organic Rankine Cycle and Onsite Low-Grade Renewable Energy

Predicting the Slope of the Temperature–Entropy Vapor Saturation Curve for Working Fluid Selection Based on Lee–Kesler Modeling

Technical assessment of novel organic Rankine cycle driven cascade refrigeration system using environmental friendly refrigerants: 4E and optimization approaches

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