Dynamic simulation of a heat recovery steam generator dedicated to a brine concentration plant

Keshavar, Omid Mahdavi; Jafarian, Ali; Shekafti, Morteza Sohrabi

doi:10.1007/s10973-018-7448-8

Cited by 10 publications

(5 citation statements)

References 26 publications

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“…The study carried out by [6] has become a reference in recent years for carrying out new research on the behavior of steam generators. This work opened the way for other research studies [13][14][15]. The mathematical model proposed by [6] was studied and analyzed.…”

Section: Model Analysismentioning

confidence: 92%

“…Figure 1 represents the stages in which the project was carried out, with the (*) each programmed numerical method is indicated, as well as each process variable calculated with the application of the studied methods. namic behavior of key parameters involved in the steam generation process, such as the appropriate rate of water and fuel consumption according to the rate of heat required in the boiler risers [13]. Other studies reported the response of water consumption and steam generation in the boiler, based on the variables of water level, pressure, and mixture quality in the boiler drum [14].…”

Section: Methodsmentioning

confidence: 99%

“…Three numerical methods were analyzed to solve the implicit ODE for the implementation of the model. The results obtained were analyzed using the Runge-Kutta 4th order method used by [13], MATLAB ® function Ode45 implemented by [14], and Heun's method as a solution alternative. The error is determined for the three methods studied with reference to the results reported in [6].…”

Section: Introductionmentioning

confidence: 99%

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Study of Different Alternatives for Dynamic Simulation of a Steam Generator Using MATLAB

Álvarez

Espinel

Noriega

2021

Fluids

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This work presents the simulation of a steam generator or water-tube boiler through the implementation in MATLAB® for a proposed mathematical model. Mass and energy balances for the three main components of the boiler - the drum, the riser and down-comer tubes - are presented. Three alternative solutions to the ordinary differential equation (ODE) were studied, based on Runge–Kutta 4th order method, Heun’s method, and MATLAB function Ode45. The best results were obtained using MATLAB® function Ode45 based on the Runge–Kutta 4th Order Method. The error was less than 5% for the simulation of the steam pressure in the drum, the total volume of water in the boiler, and the mixture quality in relation to what was reported.

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Section: Model Analysismentioning

confidence: 92%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Study of Different Alternatives for Dynamic Simulation of a Steam Generator Using MATLAB

Álvarez

Espinel

Noriega

2021

Fluids

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“…In fig. 1 Q f [kJh -1 ] is the heat brought into the boiler by the fuel of the heat source boiler room, W s [kJh -1 ] -the electric power of the heat source auxiliary machine and the circulating -1 ] -the heat supply and return water heat, Q 1s , Q 2s , Q 2 , Q 3 [kJh -1 ] -the system heat source, water supply pipe network, and return water pipe network, E fs [kJh -1 ] -the fuel exergy provided for the fuel of the heat source boiler room, E ps [kJh -1 ] -the electrical exergy of the heat source auxiliary machine and circulating water pump, E 2s , E 3s [kJh -1 ] -the heat respectively exergy, E 4s [kJh -1 ] -the user's incoming and outgoing water, and I 1s , I 2s , I 3s [kJh -1 ] -the heat source backwater [5].…”

Section: Energy Analysis Methodsmentioning

confidence: 99%

Technical economic model of energy utilization and energy saving for central heating system

Geng

Xianzhe

2021

THERM SCI

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Chinese heating method has gradually shifted from small fragments to centralized regional heating. This heating method has achieved obvious energy-saving benefits. The article establishes an economic model of the energy utilization rate of the central heating system and installs the system exergy balance equation at the same time. The simulation found that the energy utilization coefficient of the heating system is high and has a high energy-saving potential. The effect of energy utilization is poor, and it has great potential for energy saving.

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“…A heat recovery boiler can fully utilize the heat in the gas emitted by gas turbines and industrial boiler systems, and is core equipment for improving energy efficiency and economy [1]. The requirements for safety and economy of heat recovery boilers need satisfactory dynamic performance.…”

Section: Introductionmentioning

confidence: 99%

Drum water level control of heat recovery boiler via modified active disturbance rejection control

Gao,

Cui,

et al. 2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

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This paper focuses on the drum water level control of a heat recovery boiler, where drum water level is influenced by many factors such as steam flow and feed water flow. To enhance the control performance of drum water level system, a modified active disturbance rejection control (MADRC) is proposed for the integral system, where the inertial link is compensated by adding a compensation part for the control signal. Then the cascade control structure based on MADRC is applied to the drum water level system. Compared to other comparative controllers, simulation results show that MADRC obtains obvious advantages in terms of tracking performance, disturbance rejection ability, and measure noise rejection ability, with satisfactory robustness. Keywords-drum water level, heat recovery boiler, modified active disturbance rejection control, control performanceRecently, a robust control strategy named active disturbance rejection control (ADRC), having strong disturbance rejection ability and being independent of the mathematical model, is also receiving lots of attention in drum water level control [12][13]. ADRC can obtain stronger robustness than other comparative controllers. By observing and compensating for the total disturbance of the controlled system, ADRC has been applied to many fields successfully, such as robotic autonomous underwater vehicles [14], main steam pressure [15], compression liquid chiller [16] and electrical machinery [17].

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Dynamic simulation of a heat recovery steam generator dedicated to a brine concentration plant

Cited by 10 publications

References 26 publications

Study of Different Alternatives for Dynamic Simulation of a Steam Generator Using MATLAB

Study of Different Alternatives for Dynamic Simulation of a Steam Generator Using MATLAB

Technical economic model of energy utilization and energy saving for central heating system

Drum water level control of heat recovery boiler via modified active disturbance rejection control

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