Analysis of Thermodynamic Models for Simulation and Optimisation of Organic Rankine Cycles

Equations of state (EOSs) form the base of every thermodynamic model used in the design of industrial processes, but little work has been done to evaluate these in the context of such models. This work evaluates 13 EOSs for their accuracy, computational time and robustness when used in an in-house o...

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Bibliographic Details
Published in:Energies (Basel) 2019-08, Vol.12 (17), p.3307
Main Authors: Durakovic, Goran, Skaugen, Geir
Format: Article
Language:English
Subjects:
Accuracy
Air intakes
Air temperature
Butane
Carbon dioxide
Chemical analysis
Computational fluid dynamics
computational speed
Computer simulation
Confidence intervals
corresponding state
Corresponding states
Cubic equations
Data acquisition
Equations of state
Flow rates
Flow velocity
Fluid flow
Fluids
Heat exchangers
Heat sinks
Inlet pressure
Inlet temperature
Literature reviews
Mass flow
Mechanical efficiency
Model accuracy
Optimization
process modelling
process optimisation
Rankine cycle
Seawater
Simulation
Studies
Temperature gradients
Thermodynamic models
Turbines
Water analysis
Working fluids
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Summary:Equations of state (EOSs) form the base of every thermodynamic model used in the design of industrial processes, but little work has been done to evaluate these in the context of such models. This work evaluates 13 EOSs for their accuracy, computational time and robustness when used in an in-house optimisation program that finds the maximum power output of an organic Rankine cycle. The EOSs represent popular choices in the industry, such as the simple cubic EOSs, and more complex EOSs such as the ones based on corresponding state principles (CSP). These results were compared with results from using the Groupe Européen de Recherches Gazières (GERG) EOS, whose error is within experimental uncertainty. It appears that the corresponding state EOSs find a solution to the optimisation problem notably faster than GERG without significant loss of accuracy. A corresponding state method which used the Peng–Robinson EOS to calculate the shape factors and a highly accurate EOS for propane as the reference EOS, was shown to have a total deviation of just 0.6% as compared to GERG while also being 10 times as fast. The CSP implementation was also more robust, being able to converge successfully more often.
ISSN:1996-1073
1996-1073
DOI:10.3390/en12173307