Validated dynamic model of an organic Rankine cycle (ORC) for waste heat recovery in a diesel truck

Wolfgang R. Huster, Yannic Vaupel, Adel Mhamdi and Alexander Mitsos

Energy, 2018, vol. 151, issue C, 647-661

Abstract: Recovering waste heat from the exhaust gas of diesel trucks using an organic Rankine cycle (ORC) is considered a promising option to reduce emissions and fuel consumption. As the system operates under highly transient boundary conditions, the development of a predictive model accounting for its dynamic behavior is of high relevance. In this contribution, such a model is presented. Evaporator and condenser are modeled using a dynamic moving boundary model, while pump and turbine are represented with pseudo-steady state models, as dynamics are assumed to be negligible here. A fundamental thermodynamic equation of state based on the free Helmholtz energy is implemented for the working fluid ethanol. As unknown parameters, e.g., in heat transfer, occur, a parameter estimation is conducted with the use of measurement data. The model is then validated using different experimental data. It is able to capture the system dynamics well both qualitatively and quantitatively, e.g., the mean relative temperature deviations are all smaller than 4%.

Keywords: Organic Rankine cycle; Waste heat recovery; Dynamic modeling; Moving boundary approach; Parameter estimation; Model validation (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:151:y:2018:i:c:p:647-661

DOI: 10.1016/j.energy.2018.03.058

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