Systematic Methods for Working Fluid Selection and the Design, Integration and Control of Organic Rankine Cycles—A Review

Linke, Patrick; Παπαδόπουλος, Αθανάσιος Ι.; Seferlis, Panos

doi:10.3390/en8064755

Cited by 115 publications

(66 citation statements)

References 114 publications

(197 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The proper selection of working fluid is crucial to the performance of the cycle. Screening techniques and Computer Aided Molecular Design (CAMD) have been extensively applied to find appropriate working fluids for thermodynamic cycles [2] [3]. In order to evaluate the thermophysical properties (e.g., enthalpy and entropy) of suitable fluids, an appropriate Equation of State (EoS) is used during process simulations [4].…”

Section: Uncertainty In Equations Of State (Eos) and Process Modelsmentioning

confidence: 99%

“…The residual error (i.e., the difference between the experimental and predicted value) for each data point is calculated. 3. New synthetic data sets are produced by bootstrapping: residual errors are sampled and added randomly to the estimated properties in the reference step above (i.e., re-arranging the errors).…”

Section: Quantification Of Eos Parameter Uncertainty Using Bootstrap mentioning

confidence: 99%

See 1 more Smart Citation

Uncertainty assessment of equations of state with application to an organic Rankine cycle

et al. 2017

View full text Add to dashboard Cite

Abstract:Evaluations of equations of state (EoS) with application to process systems should include uncertainty analysis. A generic method is presented for determining such uncertainties from both the mathematical form and the data for obtaining EoS parameter values. The method is implemented for the Soave-Redlich-Kwong (SRK), the Peng-Robinson (PR) cubic EoS, and the perturbed-chain statistical associating fluid theory (PC-SAFT) EoS, as applied to an organic Rankine cycle (ORC) power system to recover heat from the exhaust gas of a marine diesel engine with cyclopentane as the working fluid. Uncertainties of the EoS input parameters, including their corresponding correlation structure, are quantified from the data using a bootstrap method. A Monte Carlo procedure propagates parameter input uncertainties onto the process output. Regressions have been made of the three cubic EoS parameters from both critical point matching and vapor pressure and density data, as used for the three PC SAFT parameters. ORC power uncertainties of 2-5 % are found for all models from the larger data sets. Mean power values for the cubic EoS are similar for both parameter regressions. The mean power from the PC-SAFT EoS is less than for the cubic EoS, with no overlap of the uncertainty distributions.

show abstract

Section: Uncertainty In Equations Of State (Eos) and Process Modelsmentioning

confidence: 99%

Section: Quantification Of Eos Parameter Uncertainty Using Bootstrap mentioning

confidence: 99%

Uncertainty assessment of equations of state with application to an organic Rankine cycle

et al. 2017

View full text Add to dashboard Cite

show abstract

“…2017, 5, 965 -1006 2017 Wiley-VCHV erlag GmbH &Co. KGaA,W einheim have demonstrated. [127] Here,t wo thermodynamic models of optimized plants are developed for the sameb oundary conditions, andt heir costs are compared by using correlations from literature and industry.T he first is as ubcritical cycle utilizing isopentane as aworkingfluid;the second asupercritical cycle with propane. Thenet power outputs over alifetime of 20 years is compared by taking into accountp arasitic requirements.…”

Section: Tool Design For the Thermoeconomic Optimization Of Geothermamentioning

confidence: 99%

Integrated Research as Key to the Development of a Sustainable Geothermal Energy Technology

et al. 2017

View full text Add to dashboard Cite

As estimated by the International Energy Agency, geothermal power can contribute to 3.5 % of worldwide power and 3.9 % to heat production by 2050. This includes the development of enhanced geothermal systems (EGSs) in low‐enthalpy systems. EGS technology is still in an early stage of development. Pushing EGS technologies towards market maturity requires a long‐term strategic approach and massive investments in research and development. Comprehensive multidisciplinary research programs that combine fundamental and applied concepts to tackle technological, economic, ecological, and safety challenges along the EGS process chain are needed. The Karlsruhe Institute of Technology (KIT) has defined a broad research program on EGS technology development following the necessity of a transdisciplinary approach. The research concept is embedded in the national research program of the Helmholtz Association and is structured in four clusters: reservoir characterization and engineering, thermal water circuit, materials and geoprocesses, and power plant operation. The proximity to industry, closely interlinked with fundamental research, forms the basis of a target‐orientated concept. The present paper aims to give an overview of geothermal research at KIT and emphasizes the need for concerted research efforts at the international level to accelerate technological breakthrough of EGS as an essential part of a future sustainable energy system.

show abstract

“…The reader is referred to the work of Ziviani et al [65], who presented an extended review of the modelling tools employed in the design of ORC systems. Linke et al [66] reviewed the approaches developed by researchers for the systematic selection of working fluids and the design, integration and control of ORCs. Mago et al [67] investigated four different dry fluids in basic and regenerative ORC configurations.…”

Section: R 143amentioning

confidence: 99%

Small Scale Organic Rankine Cycle (ORC): A Techno-Economic Review

et al. 2017

View full text Add to dashboard Cite

Abstract:The Organic Rankine Cycle (ORC) is widely considered as a promising technology to produce electrical power output from low-grade thermal sources. In the last decade, several power plants have been installed worldwide in the MW range. However, despite its market potential, the commercialization of ORC power plants in the kW range did not reach a high level of maturity, for several reasons. Firstly, the specific price is still too high to offer an attractive payback period, and secondly, potential costumers for small-scale ORCs are typically SMEs (Small-Medium Enterprises), generally less aware of the potential savings this technology could lead to. When it comes to small-scale plants, additional design issues arise that still limit the widespread availability of the technology. This review paper presents the state of the art of the technology, from a technical and economic perspective. Working fluid selection and expander design are illustrated in detail, as they represent the bottleneck of the ORC technology for small-scale power production. In addition, a European market analysis is presented, which constitutes a useful instrument to understand the future evolution of the technology.

show abstract

Systematic Methods for Working Fluid Selection and the Design, Integration and Control of Organic Rankine Cycles—A Review

Cited by 115 publications

References 114 publications

Uncertainty assessment of equations of state with application to an organic Rankine cycle

Uncertainty assessment of equations of state with application to an organic Rankine cycle

Integrated Research as Key to the Development of a Sustainable Geothermal Energy Technology

Small Scale Organic Rankine Cycle (ORC): A Techno-Economic Review

Contact Info

Product

Resources

About