Research Papers: Energy Systems Analysis

A Novel Pinch Point Design Methodology Based Energy and Economic Analyses of Organic Rankine Cycle

[+] Author and Article Information
Jahar Sarkar

Department of Mechanical Engineering,
Indian Institute of Technology (B.H.U.),
Varanasi 221005, Uttar Pradesh, India
e-mail: jsarkar.mec@itbhu.ac.in

Contributed by the Advanced Energy Systems Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received July 12, 2017; final manuscript received December 29, 2017; published online January 31, 2018. Assoc. Editor: Antonio J. Bula.

J. Energy Resour. Technol 140(5), 052004 (Jan 31, 2018) (8 pages) Paper No: JERT-17-1353; doi: 10.1115/1.4038963 History: Received July 12, 2017; Revised December 29, 2017

A generalized methodology for pinch point design and optimization of subcritical and transcritical organic Rankine cycles (ORCs) using both wet and dry fluids is adopted in this study. The presented algorithm can predict the pinch point location in evaporator and condenser simultaneously and optimize the evaporator pressure for best performance with various heat source and sink conditions. Effects of pinch point temperature difference (PPTD), isentropic efficiency, subcooling, superheating and regenerator on the energy and economic performances are discussed for selected working fluids. System yields similar optimum design for both maximum power generation and minimum capital cost per unit power. At optimum condition, ammonia is best in terms of higher thermal efficiency and lower component size, R152a is best in terms of higher net power output and heat recovery efficiency (11.1%), and toluene is best in terms of lower capital cost and cost per unit power output (7060 $/kW). Effect of heat source and sink parameters on both energy and economic performances is significant. Contour plots are presented to select the best ORC design parameters for available heat source condition. PPTD and expander isentropic efficiency have significant effect on performances. However, the effect of subcooling, superheating and regenerator depends on working fluid.

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Grahic Jump Location
Fig. 2

Temperature-entropy diagram of ORC with source and sink for dry fluid

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Fig. 1

Temperature-entropy diagram of ORC with source and sink for wet fluid

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Fig. 7

Comparison of total capital cost and cost per unit power output

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Fig. 3

Flowchart for simulation and optimization

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Fig. 4

Variation of ORC performances with evaporator pressure

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Fig. 5

Comparison of working fluid mass flow rate and thermal efficiency

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Fig. 6

Comparison of maximum net work output and heat recovery efficiency

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Fig. 8

Contours of working fluid mass flow rate for isopentane

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Fig. 9

Contours of net power output for isopentane

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Fig. 10

Contours of CPI for isopentane

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Fig. 11

Effect of component performances on net power output

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Fig. 12

Effect of component performances on total capital cost



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