2016
DOI: 10.1007/s12206-016-1148-8
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Dynamic simulation of a circulating fluidized bed boiler system Part I: Description of the dynamic system and transient behavior of sub-models

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Cited by 10 publications
(11 citation statements)
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“…1 Additionally, the response times to reach the steady state can be evaluated from the time constant (τ) determined by the boiler thermal capacity and the material flow rate. 9 The simulated time to reach 63.2% of the final value of the temperature at the furnace exit is about 330 s as shown in Figure 2(a), and this value is comparable to 300 s of the time constant of the CFB loop in the target boiler system. Figure 2(b) presents how the oxygen concentration of mass fraction decreases due to the increased fuel feed with the constant airflow value.…”
Section: Dynamic Simulation Resultsmentioning
confidence: 82%
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“…1 Additionally, the response times to reach the steady state can be evaluated from the time constant (τ) determined by the boiler thermal capacity and the material flow rate. 9 The simulated time to reach 63.2% of the final value of the temperature at the furnace exit is about 330 s as shown in Figure 2(a), and this value is comparable to 300 s of the time constant of the CFB loop in the target boiler system. Figure 2(b) presents how the oxygen concentration of mass fraction decreases due to the increased fuel feed with the constant airflow value.…”
Section: Dynamic Simulation Resultsmentioning
confidence: 82%
“…The time constant of the CFB furnace, which is determined by the solid thermal mass and flue gas flow rate, was calculated and compared with the simulated response time of the solid temperature, as in Kim et al. 9 The time constant of the CFB loop of the target boiler system is about 300 s (total mass 190 t, flue gas flow rate 600 kg/s). This time constant is used as the check parameter for the dynamic calculation in the next section.…”
Section: Simulation Strategymentioning
confidence: 99%
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“…The coal and air inflow rates were changed and the transient response of the bed temperature was estimated; good agreement was found between the simulations and experimental data from the same boiler regarding the aforementioned transient variables as well as critical steady-state parameters during 30 and 50% load operation. Finally, Kim et al (2016Kim et al ( , 2019 extended the model of Kim et al (2014Kim et al ( , 2015 to perform dynamic simulations as well, by calculating the incremental difference from the previous time step, and progressing for the next time step. Two dynamic simulations were performed for a 340 MWe CFB boiler and one with 1500 t/h steam production capacity.…”
Section: Introductionmentioning
confidence: 99%