Development and validation of a dynamic flowsheet model for a 350 MWe supercritical circulating fluidized bed boiler

Zhu, Shifan; Zhang, Man; Deng, Boyu; Huang, Zhong; Ding, Yi; Wang, Gang; Yang, Hairui; Yue, Guangxi

doi:10.1016/j.applthermaleng.2022.118265

Cited by 4 publications

(9 citation statements)

References 30 publications

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“…When the input voltage is 50 V and the current is 14 V, the input voltage and current waveforms are stable. The research results show that the sliding mode control effect of the power supply circuit model of super- The proposed method The m ethod i n reference [9] The m ethod i n reference [10] FIGURE 4 Relationship between input voltage and switching frequency.…”

Section: Analysis Of the Relationship Between Input Voltage And Power...mentioning

confidence: 96%

“…When the input voltage is between 40 and 50 V, the switching frequency of the proposed method is only increased from 22 to 26 kHz, which makes the system debugging power supply realize stable control. However, the switching frequency of reference [9] increases from 23 to 29 kHz. The method in reference [10] increases the switching frequency from 22 to 30 kHz.…”

Section: Analysis Of the Relationship Between Input Voltage And Switc...mentioning

confidence: 99%

“…The proposed method The m ethod i n reference [9] The method in reference [10] FIGURE 3 Power supply versus input voltage.…”

Section: Theoretical Valuementioning

confidence: 99%

“…When the input voltage increases, the DC offset is lower, which can achieve a higher sliding mode control effect. The proposed method The m ethod i n reference [9] The m ethod i n reference [10] FIGURE 5 Relationship between input voltage and output voltage. The proposed method The m ethod i n reference [9] The m ethod i n reference [10] FIGURE 6 Voltage output waveform.…”

Section: Analysis Of the Relationship Between Input Voltage And Outpu...mentioning

confidence: 99%

“…However, the anti-interference performance of this method is low. Zhu et al [9] used Aspen Plus and Aspen Dynamics software, combined with user-defined combustion dynamics and heat transfer coefficient, and used FORTRAN subroutine to build steady-state and dynamic process models of supercritical 350 MWe CFB boiler. The model is verified by the operation data of 350 MWe supercritical CFB boiler.…”

Section: Introductionmentioning

confidence: 99%

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Power supply circuit model and sliding mode control of supercritical unit boiler system commissioning

Lin

Wei

2023

The Journal of Engineering

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In the process of power control and commissioning of supercritical unit boiler system, there are some problems such as large steady-state error and slow response speed. In order to optimize the control performance of supercritical unit boiler system, the power supply loop model and sliding mode control method of supercritical unit boiler system debugging power supply are proposed. Firstly, the power supply circuit model is established according to the data of voltage doubling rectifier circuit, inverter circuit, high frequency transformer and LC resonant circuit. Secondly, the capacitance voltage value and the inductance current value are calculated in the power supply circuit model. Finally, based on the numerical results, a terminal sliding mode controller and a linear sliding mode controller are established to complete the double closed-loop terminal sliding mode control and realize the power control of the debugging power supply. The experimental results show that when the input voltage is 50 V and the current is 14 V, the input voltage and current waveforms remain stable. When the input voltage is between 40 and 50 V, the change of switching frequency is small, only increasing from 22 to 26 kHz. The steady state of the power supply is high, and when the input voltage increases, the DC offset is 21.2. The convergence time in the calculation process is less than 200 ms. The instantaneous change of inductance is 0.7 A. The steady-state error is less than 0.005 V. The output voltage distortion rate is less than 4%. It is proved that this method has strong control performance in the supercritical unit boiler system.

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Section: Analysis Of the Relationship Between Input Voltage And Power...mentioning

confidence: 96%

Section: Analysis Of the Relationship Between Input Voltage And Switc...mentioning

confidence: 99%

“…The proposed method The m ethod i n reference [9] The method in reference [10] FIGURE 3 Power supply versus input voltage.…”

Section: Theoretical Valuementioning

confidence: 99%

Section: Analysis Of the Relationship Between Input Voltage And Outpu...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Power supply circuit model and sliding mode control of supercritical unit boiler system commissioning

Lin

Wei

2023

The Journal of Engineering

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The effect of ambient temperature on dynamic energy–exergy analysis of a d-type boiler during cold start-up

Hashemi Beni,

Emami,

Meghdadi Isfahani

et al. 2024

J Therm Anal Calorim

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An experimentally validated model for a multivariate drying industrial process

Yahya,

Lassoued,

Aboud

et al. 2024

Transactions of the Institute of Measurement and Control

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Modeling of industrial production processes is becoming increasingly challenging due to their large number of variables. These variables often are highly correlated and introduce nonlinear and complex features. In this paper, we are interested to model an industrial dicalcium phosphate (DCP) drying process. Attempting to solve this issue is motivated by the need to improve several production conditions, such as minimizing the consumption of natural gas and reducing the pollution rate. In fact, applying an advanced control approach requires a dynamic model for the monitored plant. This work proposes a multivariable mathematical model for the DCP dryer within the Tunisian Chemical Group factory. A steady-state model has been reproduced using Aspen Plus software tool to implement the different functionalities of the system as well as involved reactions. Indeed, since the main operation in the drying process is the combustion reaction of the liquified petroleum gas (LPG) in the furnace that produce the necessary heat to reach a target value of temperature at the dryer outlet, we focus on determining a dynamic model for the furnace. To do so, we have proposed two approaches. The first is based on the Aspen dynamic tool. The second is based on the left matrix fraction description (LMFD) identification approach. The obtained results have been successfully validated using real measurements.

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Development and validation of a dynamic flowsheet model for a 350 MWe supercritical circulating fluidized bed boiler

Cited by 4 publications

References 30 publications

Power supply circuit model and sliding mode control of supercritical unit boiler system commissioning

Power supply circuit model and sliding mode control of supercritical unit boiler system commissioning

The effect of ambient temperature on dynamic energy–exergy analysis of a d-type boiler during cold start-up

An experimentally validated model for a multivariate drying industrial process

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