Analysis of oxy-fuel combustion power cycle utilizing a pressurized coal combustor

Hong, Jongsup; Chaudhry, Gunaranjan; Brisson, J. G.; Field, Randall P.; Gazzino, Marco; Ghoniem, Ahmed F.

doi:10.1016/j.energy.2009.05.015

Cited by 232 publications

(90 citation statements)

References 7 publications

(8 reference statements)

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“…Another flowsheet based on wet recycling, recycling before condensing the H 2 0, is proposed in [9] and further investigated by [13,14]. In [14], a sensitivity analysis of the combustor pressure indicates that 10bar is the favorable operating pressure.…”

Section: Introductionmentioning

confidence: 99%

Multi-variable optimization of pressurized oxy-coal combustion

Zebian

Gazzino

Mitsos

2012

Energy

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Simultaneous multi-variable gradient-based optimization with multi-start is performed on a 300 MWe wet-recycling pressurized oxy-coal combustion process with carbon capture and sequestration. The model accounts for realistic component behavior such as heat losses, steam leaks, pressure drops, cycle irreversibilities, and other technological and economical considerations. The optimization study involves 16 variables, three of which are integer valued, and 10 constraints with the objective of maximizing thermal efficiency. The solution procedure follows active inequality constraints which are identified by thermodynamic-based analysis to facilitate convergence. Results of the multi-variable optimization are compared to a pressure sensitivity analysis similar to those performed in literature; the basecase of both assessments performed here is a favorable solution found in literature. Significant cycle performance improvements are obtained compared to this literature design at a much lower operating pressure and with moderate changes in the other operating variables. The effect of the variables on the cycle performance and on the constraints are analyzed and explained to obtain increased understanding of the actual behavior of the system. This study reflects the importance of simultaneous multi-variable optimization in revealing the system characteristics and uncovering the favorable solutions with higher efficiency than the atmospheric operation or those obtained by single variable sensitivity analysis.

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Section: Introductionmentioning

confidence: 99%

Multi-variable optimization of pressurized oxy-coal combustion

Zebian

Gazzino

Mitsos

2012

Energy

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“…The oxy-fuel combustion of coal with recycled flue gas is considered as a promising option to ensure the continued use of coal for electric power production [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Oxy-fuel combustion of coal and biomass blends

Riaza

Gil

Álvarez

et al. 2012

Energy

153

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The ignition temperature, burnout and NO emissions of blends of a semi-anthracite and a high-volatile bituminous coal with 10 and 20 wt.% of olive waste were studied under oxy-fuel combustion conditions in an entrained flow reactor (EFR). The results obtained under several oxy-fuel atmospheres (21%O 2 -79%CO 2 , 30%O 2 -70% CO 2 and 35%O 2 -65%CO 2 ) were compared with those attained in air. The results indicated that replacing N 2 by CO 2 in the combustion atmosphere with 21% of O 2 caused an increase in the temperature of ignition and a decrease in the burnout value. When the O 2 concentration was increased to 30 and 35%, the temperature of ignition was lower and the burnout value was higher than in air conditions. A significant reduction in ignition temperature and a slight increase in the burnout value was observed after the addition of biomass, this trend becoming more noticeable as the biomass concentration was increased. The emissions of NO during oxy-fuel combustion were lower than under air-firing. However, they remained similar under all the oxy-fuel atmospheres with increasing O 2 concentrations. Emissions of NO were significantly reduced by the addition of biomass to the bituminous coal, although this effect was less noticeable in the case of the semianthracite.

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“…In China, coal-fired power accounted for three-quarters of the countries' electricity and 90% of the power comes from the coal combustion [1]. But most of the boilers are old-type which have low efficiency and high Nox emissions.…”

Section: Introductionmentioning

confidence: 99%

“…In which, k represents the number of iterations, 1 c and 2 c represent learning factor, 1 r and 2 r are random from   0,1 ,  represents inertia factor.…”

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confidence: 99%

Optimization of Coal-fired Boiler on LS-SVM Model and PSO Algorithms

Zhang¹,

Zhang²,

Zhang³

2015

Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering

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Abstract. With the deterioration of dust storm in recent years, environmental protection has become a topic for everyone. The most important problem of environmental protection comes from coal combustion which can be improved by combustion optimization. And combustion optimization has been proved to be an effective way to reduce the Nox emissions and improve boiler combustion efficiency by setting the operating parameters. The aim of this work is to achieve optimization of the coal-fired boiler by least square-support vector machine (LS-SVM) model and PSO algorithm. In this paper, LS-SVM was applied to build Nox emissions model, carbon content of fly ash model and flue gas temperature model. Thereafter, based on the above models, we select PSO algorithm and GA to solve the problem. The results of the experiment demonstrate that PSO algorithm is superior to GA and it is effective on improving boiler's efficiency and reducing Nox emissions.

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Analysis of oxy-fuel combustion power cycle utilizing a pressurized coal combustor

Cited by 232 publications

References 7 publications

Multi-variable optimization of pressurized oxy-coal combustion

Multi-variable optimization of pressurized oxy-coal combustion

Oxy-fuel combustion of coal and biomass blends

Optimization of Coal-fired Boiler on LS-SVM Model and PSO Algorithms

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