Iterative Approach for the Design of an Organic Rankine Cycle based on Thermodynamic Process Simulations and a Small-Scale Test Rig

Kuboth, Sebastian; Neubert, Marc; Preißinger, Markus; Brüggemann, Dieter

doi:10.1016/j.egypro.2017.09.167

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…As expected, their results show that the implementation with the fewest estimated parameters gave the most accurate results. While previous studies compared purely simulated results to certain references, Kuboth et al [10] showed how combining experimental data with the simulations by implementing correlations for heat exchanger performance, pressure loss and refrigerant sub cooling could significantly improve the accuracy of the results gained from the simulations of power cycles.…”

Section: Introductionmentioning

confidence: 99%

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

Durakovic

Skaugen

2019

Energies

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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.

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Section: Introductionmentioning

confidence: 99%

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

Durakovic

Skaugen

2019

Energies

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“…Kuboth et al [173] highlight the use of experimental results to calibrate and refine the accuracy of ORC computer models using a small-scale (1 kW) test rig targeting industrial WHR, which the authors consider a possible gateway to open further small-scale ORC opportunities. The recuperated ORC using R365mfc is simulated in Aspen Plus, and it features plate heat exchangers, a gear pump, and a scroll expander.…”

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confidence: 99%

Review of Organic Rankine Cycles for Internal Combustion Engine Waste Heat Recovery: Latest Decade in Review

Sprouse

2024

Sustainability

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The last decade (2013–2023) was the most prolific period of organic Rankine cycle (ORC) research in history in terms of both publications and citations. This article provides a detailed review of the broad and voluminous collection of recent internal combustion engine (ICE) waste heat recovery (WHR) studies, serving as a necessary follow-on to the author’s 2013 review. Research efforts have targeted diverse applications (e.g., vehicular, stationary, and building-based), and it spans the full gamut of engine sizes and fuels. Furthermore, cycle configurations extend far beyond basic ORC and regenerative ORC, particularly with supercritical, trilateral, and multi-loop ORCs. Significant attention has been garnered by fourth-generation refrigerants like HFOs (hydrofluoroolefins), HFEs (hydrofluoroethers), natural refrigerants, and zeotropic mixtures, as research has migrated away from the popular HFC-245fa (hydrofluorocarbon). Performance-wise, the period was marked by a growing recognition of the diminished performance of physical systems under dynamic source conditions, especially compared to steady-state simulations. Through advancements in system control, especially using improved model predictive controllers, dynamics-based losses have been significantly reduced. Regarding practically minded investigations, research efforts have ameliorated working fluid flammability risks, limited thermal degradation, and pursued cost savings. State-of-the-art system designs and operational targets have emerged through increasingly sophisticated optimization efforts, with some studies leveraging “big data” and artificial intelligence. Major programs like SuperTruck II have further established the ongoing challenges of simultaneously meeting cost, size, and performance goals; however, off-the-shelf organic Rankine cycle systems are available today for engine waste heat recovery, signaling initial market penetration. Continuing forward, next-generation engines can be designed specifically as topping cycles for an organic Rankine (bottoming) cycle, with both power sources integrated into advanced hybrid drivetrains.

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A review of industrial waste heat recovery system for power generation with Organic Rankine Cycle: Recent challenges and future outlook

Loni

Najafi

Bellos

et al. 2021

Journal of Cleaner Production

225

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Iterative Approach for the Design of an Organic Rankine Cycle based on Thermodynamic Process Simulations and a Small-Scale Test Rig

Cited by 5 publications

References 9 publications

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

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

Review of Organic Rankine Cycles for Internal Combustion Engine Waste Heat Recovery: Latest Decade in Review

A review of industrial waste heat recovery system for power generation with Organic Rankine Cycle: Recent challenges and future outlook

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