The public health medical service as a career

Buchan, George F.

doi:10.1016/s0033-3506(21)80173-0

Cited by 2 publications

(2 citation statements)

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“…In a typical gasification plant, the carbonaceous fuel reacts with oxygen and steam to produce syngas, which is later passed through gas cleaning units and burnt inside a turbine to produce electricity. According to Buchan and Cao, integrated gasification combined cycle (IGCC) power plants have higher efficiency compared to combustion-based power plants integrated with CO 2 capture. However, improvements in the initial investment and availability of gasifiers are still required to make this technology competitive with combustors.…”

Section: Introductionmentioning

confidence: 99%

Reduced-Order Modeling of a Commercial-Scale Gasifier Using a Multielement Injector Feed System

Sahraei

Duchesne

Boisvert

et al. 2017

Ind. Eng. Chem. Res.

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This study presents a reduced order model (ROM) that describes the behavior of a commercial-scale short-residence gasifier which uses a multielement injector feed system. The state-of-the-art injection technology disperses the feed across the crosssection of the gasifier to enhance the mixing efficiency, thereby allowing a reduction in the reactor size and capital cost. A reactor network is integrated into the ROM to capture the laminar and mixing zones formed by each nozzle and subsequently the merging point of the multiphase flow coming from all of the nozzles. The results of the ROM are in reasonable agreement with the limited data reported for a short-residence time commercial-scale gasifier, that is, residence time, carbon conversion, and cold gas efficiency. Moreover, the performance of the gasifier is examined under changes in the operating pressure, number of injectors, flow nonuniformity, and plugging in the fuel's injection tubes. The ROM provides valuable insights on the operation of the commercial-scale gasifier and potential safety concerns that can be used to design suitable and safe operation policies for the system. Furthermore, sensitivity analyses on the model, design, and operational parameters are performed to assess the suitability of the model assumptions and identify the most important factors influencing carbon conversion, particle residence time, and temperature profiles.

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Section: Introductionmentioning

confidence: 99%

Reduced-Order Modeling of a Commercial-Scale Gasifier Using a Multielement Injector Feed System

Sahraei

Duchesne

Boisvert

et al. 2017

Ind. Eng. Chem. Res.

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“…Consequently, solid fuels such as coal and petroleum coke are expected to continue playing a major role in supplying the world’s energy demands for the upcoming decades . Gasification is an attractive solid fuel-fired technology since it provides substantial environmental benefits over combustion-based processes, such as less expensive gas-cleaning equipment, higher efficiency when integrated to a carbon capture unit, and lower SO x and NO x emissions during power production . Development of efficient gasification units that can handle different feedstocks has gained recent attention as the fuel flexibility allows the industry to adapt to changes in fuel costs and sustain a cost-effective energy production scheme …”

Section: Introductionmentioning

confidence: 99%

Experimental Assessment, Model Validation, and Uncertainty Quantification of a Pilot-Scale Gasifier

Sahraei

Duchesne

Hughes

et al. 2016

Ind. Eng. Chem. Res.

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This contribution presents a new set of petroleum coke dry gasification tests performed on pilot-scale gasifier. Dry gas composition and flow rate, temperature distribution, conversion, and pollutant formation taken from the experimental tests and respective calculations were used to validate the prediction capabilities of a reduced order model (ROM) developed for the same gasifier. The ROM predicted the experimental observations for conversion in the range of 48−90%. This study confirms that a systematically developed ROM (with a fixed framework) can predict the behavior of a gasifier under different operating conditions with reasonable accuracy. Moreover, this study investigates the variability in the ROM's key outputs in the presence of uncertainty in the feed and model parameters, i.e., the volatile percentage of the fuel, solid particle diameters, angle of multiphase flow jet, and recirculation ratio. These parameters affect the feedstock's properties and the mixing/laminar flows within different zones of the gasifier. Insights gained from the uncertainty quantification study revealed significant variability in the conversion, peak temperature, and steam percentage in the syngas; while the dry syngas composition does not seem to be significantly affected by the uncertainty of the parameters considered.

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The public health medical service as a career

Cited by 2 publications

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Reduced-Order Modeling of a Commercial-Scale Gasifier Using a Multielement Injector Feed System

Reduced-Order Modeling of a Commercial-Scale Gasifier Using a Multielement Injector Feed System

Experimental Assessment, Model Validation, and Uncertainty Quantification of a Pilot-Scale Gasifier

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