Abstract:In a circulating fluidized bed boiler, the large thermal mass and flow characteristics of the solids strongly affect the transient response of the circulating fluidized bed loop temperature, which determines the heat transfer rate to steam flow. Therefore, it is essential to interpret the dynamic response of the solid behavior in the circulating fluidized bed loop for the stable and efficient operation of the circulating fluidized bed boiler. In this study, the dynamic simulation of the solid behavior along wi… Show more
“…Accordingly, the heat transfer rates of the major sections of the boiler (Q·OTU,Q·Platen,Q·CYC,Q·EHEX,Q·HEX1,…,Q·HEX5) were determined. …”
Section: Modeling Approach For a Usc-cfb Boiler Systemmentioning
confidence: 99%
“…The fluid property values for the steam were calculated at the prevailing pressure and temperature. A detailed description of the solid–gas flow modeling including the conservation laws and the correlations for the transport phenomena can be found in paper, 21 and that of the supercritical steam flow modeling can be found in paper. 22…”
Section: Modeling Approach For a Usc-cfb Boiler Systemmentioning
confidence: 99%
“…Circulating solids served as the energy distribution mechanism of the CFB loop. 21 Therefore, in order to evaluate the effect of the circulating solids on the steam temperature, the solid flow rate in the solid return section was adjusted by bypassing the inlet solid flow rate into the EHEX. Since the main steam temperature was simulated through interactions involving the solid–gas flow of the FUR, circulating solids of the solid return section, and the flue gas flow of the BP, this simulation tool enables the study of the relationship between the steam temperatures and operating parameters based on a model of the dominant physical processes.…”
Section: Modeling Approach For a Usc-cfb Boiler Systemmentioning
confidence: 99%
“…Accordingly, it was proven that the solid circulation rate affects the temperatures of each component in the CFB loop and determines the heat transfer rate in the solid return section. 21 Therefore, to predict the behavior of the steam temperature in the USC-CFB boiler system, the flow rate and state of the circulating solids should be properly addressed in the modeling. In general, the solid circulation rate (m·cir) is determined by the airflow rates in the FUR during operation and cannot be treated as a manipulated variable.…”
Section: Dynamic Responses Of the Steam Temperaturementioning
A dynamic simulation of a modern ultra-supercritical circulating fluidized bed (USC-CFB) boiler system was performed using a physics-based model, where the boiler system was composed of an integrated system of heat exchanger (HEX) blocks. In each of the discretized elements of the HEX blocks, supercritical steam flow interacted with the solid–gas flow via heat transfer, and conservation laws, and physical phenomena of the CFB, and the supercritical steam flow was modeled to obtain the flow properties of each material side. By utilizing this model, the dynamic behavior of the main steam temperature, which was selected as the representative performance parameter for achieving safe and fast load changes, was simulated in response to changes applied to the main operating parameters such as the feedwater and fuel flow rates. The dynamic characteristics of the USC-CFB boiler were demonstrated by presenting the temperature responses of the steam and the circulating solid–gas after a step change in the feedwater and fuel flow rates. In the case of a load change, the dynamic response of the steam temperature was quantitatively presented by showing the transient overshoot and undershoot behavior, depending on the selection of the ramp speed when changing the feedwater and fuel flow rates. The steam temperature was also shown to be controlled by manipulating the inlet solid mass flow rate into the final superheater section of the external HEX. The comprehensive set of plant performance data that was generated from the model simulation can be utilized in setting up the operation strategies and/or in determining the control parameters for achieving stable steam temperature behavior during a load change.
“…Accordingly, the heat transfer rates of the major sections of the boiler (Q·OTU,Q·Platen,Q·CYC,Q·EHEX,Q·HEX1,…,Q·HEX5) were determined. …”
Section: Modeling Approach For a Usc-cfb Boiler Systemmentioning
confidence: 99%
“…The fluid property values for the steam were calculated at the prevailing pressure and temperature. A detailed description of the solid–gas flow modeling including the conservation laws and the correlations for the transport phenomena can be found in paper, 21 and that of the supercritical steam flow modeling can be found in paper. 22…”
Section: Modeling Approach For a Usc-cfb Boiler Systemmentioning
confidence: 99%
“…Circulating solids served as the energy distribution mechanism of the CFB loop. 21 Therefore, in order to evaluate the effect of the circulating solids on the steam temperature, the solid flow rate in the solid return section was adjusted by bypassing the inlet solid flow rate into the EHEX. Since the main steam temperature was simulated through interactions involving the solid–gas flow of the FUR, circulating solids of the solid return section, and the flue gas flow of the BP, this simulation tool enables the study of the relationship between the steam temperatures and operating parameters based on a model of the dominant physical processes.…”
Section: Modeling Approach For a Usc-cfb Boiler Systemmentioning
confidence: 99%
“…Accordingly, it was proven that the solid circulation rate affects the temperatures of each component in the CFB loop and determines the heat transfer rate in the solid return section. 21 Therefore, to predict the behavior of the steam temperature in the USC-CFB boiler system, the flow rate and state of the circulating solids should be properly addressed in the modeling. In general, the solid circulation rate (m·cir) is determined by the airflow rates in the FUR during operation and cannot be treated as a manipulated variable.…”
Section: Dynamic Responses Of the Steam Temperaturementioning
A dynamic simulation of a modern ultra-supercritical circulating fluidized bed (USC-CFB) boiler system was performed using a physics-based model, where the boiler system was composed of an integrated system of heat exchanger (HEX) blocks. In each of the discretized elements of the HEX blocks, supercritical steam flow interacted with the solid–gas flow via heat transfer, and conservation laws, and physical phenomena of the CFB, and the supercritical steam flow was modeled to obtain the flow properties of each material side. By utilizing this model, the dynamic behavior of the main steam temperature, which was selected as the representative performance parameter for achieving safe and fast load changes, was simulated in response to changes applied to the main operating parameters such as the feedwater and fuel flow rates. The dynamic characteristics of the USC-CFB boiler were demonstrated by presenting the temperature responses of the steam and the circulating solid–gas after a step change in the feedwater and fuel flow rates. In the case of a load change, the dynamic response of the steam temperature was quantitatively presented by showing the transient overshoot and undershoot behavior, depending on the selection of the ramp speed when changing the feedwater and fuel flow rates. The steam temperature was also shown to be controlled by manipulating the inlet solid mass flow rate into the final superheater section of the external HEX. The comprehensive set of plant performance data that was generated from the model simulation can be utilized in setting up the operation strategies and/or in determining the control parameters for achieving stable steam temperature behavior during a load change.
“…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.…”
In the current work, a transient/dynamic 1-dimensional model has been developed in the commercial software APROS for the pilot 1 MW th CFB boiler of the Technical University of Darmstadt. Experiments have been performed with the same unit, the data of which are utilized for the model validation. The examined conditions correspond to the steady-state operation of the boiler at 100, 80, and 60% heat loads, as well as for transient conditions for the load changes from 80 to 60% and back to 80%. Fair agreement is observed between the simulations and the experiments regarding the temperature profiles in the riser, the heat extracted by the cooling lances, as well as the concentration of the main species in the flue gases; a small deviation is observed for the pressure drop, which, however, is close to the results of a CFD simulation run. The validated model is extended with the use of a thermal energy storage (TES) system, which utilizes a bubbling fluidized bed to store/return the particles during ramp up/down operation. Simulations are performed both with and without the use of TES for the load path 100-80-60-80-100%, and the results showed that the TES concept proved to be superior in terms of changing load flexibility, since the ramp up and down times proved to be much faster, and lower temperature drops between the loads are observed in this case.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.