Optimization of combustion process in coal-fired power plant with utilization of acoustic system for in-furnace temperature measurement

Śladewski, Łukasz; Wojdan, Konrad; Świrski, Konrad; Janda, Tomasz; Nabagło, Daniel; Chachuła, J.

doi:10.1016/j.applthermaleng.2017.05.078

Cited by 28 publications

(14 citation statements)

References 27 publications

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“…The developed mathematical model has been successfully implemented in the real DCS control system. In the next stages of this research, there is a plan to analyze possibility to combine the developed air flow model with an advanced optimization software, to get optimal control of burners and OFA dampers [9].…”

Section: Discussionmentioning

confidence: 99%

“…However, measuring the combustion airflow can be difficult because of high flow rates at low pressures through irregular and large ducts. The online monitoring system of secondary air distribution in pulverized coal-fired boilers can provide additional information needed to reach optimal process efficiency and reduce pollutant emissions [8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

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Online Monitoring System of Air Distribution in Pulverized Coal-Fired Boiler Based on Numerical Modeling

Żymełka¹,

Nabagło²,

Janda³

et al. 2017

Archives of Thermodynamics

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Balanced distribution of air in coal-fired boiler is one of the most important factors in the combustion process and is strongly connected to the overall system efficiency. Reliable and continuous information about combustion airflow and fuel rate is essential for achieving optimal stoichiometric ratio as well as efficient and safe operation of a boiler. Imbalances in air distribution result in reduced boiler efficiency, increased gas pollutant emission and operating problems, such as corrosion, slagging or fouling. Monitoring of air flow trends in boiler is an effective method for further analysis and can help to appoint important dependences and start optimization actions. Accurate real-time monitoring of the air distribution in boiler can bring economical, environmental and operational benefits. The paper presents a novel concept for online monitoring system of air distribution in coal-fired boiler based on real-time numerical calculations. The proposed mathematical model allows for identification of mass flow rates of secondary air to individual burners and to overfire air (OFA) nozzles. Numerical models of air and flue gas system were developed using software for power plant simulation. The correctness of the developed model was verified and validated with the reference measurement values. The presented numerical model for real-time monitoring of air distribution is capable of giving continuous determination of the complete air flows based on available digital communication system (DCS) data.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Online Monitoring System of Air Distribution in Pulverized Coal-Fired Boiler Based on Numerical Modeling

Żymełka¹,

Nabagło²,

Janda³

et al. 2017

Archives of Thermodynamics

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“…In other words the system maximize electricity generation and minimize fuel consumption. The combustion optimization system [4], [5] is a closed-loop system that, based on the combustion empirical model calculates proper amount of air and air distribution. Goal of the system is to maximize boiler efficiency and minimize NOX emission, while respecting constraints of key process parameters like steam temperatures and O2 content in flue gases.…”

Section: Introductionmentioning

confidence: 99%

Close loop optimisation of large CHP based on approximation model

et al. 2019

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Complex optimization of CHP plants becomes a very important issue in research and implementation, particularly in the context of increasing environmental requirements. The process in industrial CHP plants could be decomposed into several subprocesses, which could be optimized individually using dedicated solutions. The article presents the results of work of complex, multi-modular optimization project of one CHP plant located in petrochemical and refinery plant in Poland. The scope of the project is economical load dispatch optimizer aimed to increase economical profit of CHP operation, combustion optimization for boiler efficiency increase and NOX emission reduction, steam temperature advanced control for improved control quality, sootblowing optimization for reduction of steam demand for sootblowing process. The solution includes also measurement validation and correction system, which is based on data reconciliation algorithm and on-line performance monitoring system.

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“…In recent years, data-based modeling approaches such as artificial neural networks have been widely employed for optimization of industrial processes [18,26,27].…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, applying artificial failures to inservice fired-heaters to acquire the necessary data is practically impossible [14,15]. In this case, mathematical models could be employed to investigate the effects of many different failures and firing rate scenarios on heat distribution inside the furnace and optimize the process conditions to cope with abnormal situations [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Flame Failures and Recovery in Industrial Furnaces: A Neural Network Steady-State Model for the Firing Rate Setpoint Rearrangement

Tahmineh

Rostamnezhad

Chaibakhsh

et al. 2018

International Journal of Chemical Engineering

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Burner failures are common abnormal conditions associated with industrial fired heaters. Preventing from economic loss and major equipment damages can be attained by compensating the lost heat due to burners' failures, which can be possible by defining appropriate setpoints to rearrange the firing rates for healthy burners. In this study, artificial neural network models were developed for estimating the appropriate setpoints for the combustion control system to recover an industrial fired-heater furnace from abnormal conditions. For this purpose, based on an accurate high-order mathematical model, constrained nonlinear optimization problems were solved using the genetic algorithm. For different failure scenarios, the best possible excess firing rates for healthy burners to recover the furnace from abnormal conditions were obtained and data were recorded for training and testing stages. e performances of the developed neural steady-state models were evaluated through simulation experiments. e obtained results indicated the feasibility of the proposed technique to deal with the failures in the combustion system.

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Optimization of combustion process in coal-fired power plant with utilization of acoustic system for in-furnace temperature measurement

Cited by 28 publications

References 27 publications

Online Monitoring System of Air Distribution in Pulverized Coal-Fired Boiler Based on Numerical Modeling

Online Monitoring System of Air Distribution in Pulverized Coal-Fired Boiler Based on Numerical Modeling

Close loop optimisation of large CHP based on approximation model

Flame Failures and Recovery in Industrial Furnaces: A Neural Network Steady-State Model for the Firing Rate Setpoint Rearrangement

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