Chemical Reactor Network Application to Emissions Prediction for Industial DLE Gas Turbine

Novosselov, Igor; Malte, Philip C.; Yuan, Shu Sheng; Srinivasan, R.; Lee, J. C. Y.

doi:10.1115/gt2006-90282

Cited by 33 publications

(31 citation statements)

References 11 publications

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“…In the vicinity of the air entrainments, the kinetic energy in the impinging jet is dissipated in turbulent eddies which result in a high degree of mixing, and can be modelled using zero dimensional perfectly stirred reactors. The CRN model can also be defined by using CFD calculations [7,8,9,10,11]. Integrated CRN and CFD approach has been applied extensively in evaluating emissions in gas turbine combustors, but both of the Swithenbank model and the CFD-CRN models require knowledge of the detailed geometry of engine combustors in advance of any assessment.…”

Section: Methodology Of the Chemical Reactors Networkmentioning

confidence: 99%

Genetic Algorithm optimised Chemical Reactors network: A novel technique for alternative fuels emission prediction

Leong

Blakey

Wilson

2016

Swarm and Evolutionary Computation

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Section: Methodology Of the Chemical Reactors Networkmentioning

confidence: 99%

Genetic Algorithm optimised Chemical Reactors network: A novel technique for alternative fuels emission prediction

Leong

Blakey

Wilson

2016

Swarm and Evolutionary Computation

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“…The ability to operate in a distributed regime opens the possibility to model the process using relatively simple chemical reactor networks, i.e., a mix of PSR and PFR elements. [85][86][87] The reduced-order CRN approach as very efficient and allows to incorporate large chemical kinetic mechanism.…”

Section: Scwo Experiments Vs Simulation: Kinetic Model Selectionmentioning

confidence: 99%

Design of a Small-Scale Supercritical Water Oxidation Reactor. Part II: Numerical Modeling and Validation

Purohit¹,

Misquith²,

Moore³

et al. 2020

Preprint

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The experimental data from the laboratory-scale supercritical water oxidation reactor was leveraged to validate the CFD approach allowing for efficient and accurate modeling of the process. The reactor operating on ethanol as a pilot fuel was modeled using CFD with global oxidation mechanism. Fluid properties were determined using polynomial fit approximations, which yielded excellent agreement with NIST data over a range of temperatures at an isobaric pressure of 25 MPa. The model predicts the fluid temperature within 30°C of measured values for different inlet fuel concentrations. The ethanol decomposition of ~99% occurs within 20% of the reactor length at T~600 °C. The analysis of Damkohler (Da) and Reynolds (Re) numbers shows that the reactor operates in a distributed reaction region, owing to the excellent combustion stability of the inverted gravity reactor configuration. The modeling approach can aid the design of future more complex SCWO reactors and process optimization.

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“…The mixing rate limit is specifically important in the design of a practical SCWG system. The application of limiting rate models to the laboratory and industrial reacting systems can be found in [73, 74, 75].…”

Section: Main Textmentioning

confidence: 99%

Supercritical water gasification: practical design strategies and operational challenges for lab-scale, continuous flow reactors

Pinkard

Gorman

Tiwari

et al. 2019

Heliyon

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Optimizing an industrial-scale supercritical water gasification process requires detailed knowledge of chemical reaction pathways, rates, and product yields. Laboratory-scale reactors are employed to develop this knowledge base. The rationale behind designs and component selection of continuous flow, laboratory-scale supercritical water gasification reactors is analyzed. Some design challenges have standard solutions, such as pressurization and preheating, but issues with solid precipitation and feedstock pretreatment still present open questions. Strategies for reactant mixing must be evaluated on a system-by-system basis, depending on feedstock and experimental goals, as mixing can affect product yields, char formation, and reaction pathways. In-situ Raman spectroscopic monitoring of reaction chemistry promises to further fundamental knowledge of gasification and decrease experimentation time. High-temperature, high-pressure spectroscopy in supercritical water conditions is performed, however, long-term operation flow cell operation is challenging. Comparison of Raman spectra for decomposition of formic acid in the supercritical region and cold section of the reactor demonstrates the difficulty in performing quantitative spectroscopy in the hot zone. Future designs and optimization of continuous supercritical water gasification reactors should consider well-established solutions for pressurization, heating, and process monitoring, and effective strategies for mixing and solids handling for long-term reactor operation and data collection.

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Chemical Reactor Network Application to Emissions Prediction for Industial DLE Gas Turbine

Cited by 33 publications

References 11 publications

Genetic Algorithm optimised Chemical Reactors network: A novel technique for alternative fuels emission prediction

Genetic Algorithm optimised Chemical Reactors network: A novel technique for alternative fuels emission prediction

Design of a Small-Scale Supercritical Water Oxidation Reactor. Part II: Numerical Modeling and Validation

Supercritical water gasification: practical design strategies and operational challenges for lab-scale, continuous flow reactors

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