Assessing the impact of primary measures for NOx reduction on the thermal power plant steam boiler

Stupar, Goran; Tucaković, Dragan; Živanović, Titoslav; Belošević, Srdjan

doi:10.1016/j.applthermaleng.2014.12.074

Cited by 22 publications

(8 citation statements)

References 20 publications

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“…PRORAČUNA PARNOG KOTLA Za potrebe proračuna parametara rada složenog kotlovskog postrojenja, nezavisno od koncepcije sagorevanja primenjene u njegovom ložištu, definisan je algoritam povezivanja integralnih proračuna kotla i numeričkih proračuna elementa čiji se rad analizira [6]. Da bi se sagledao rad kotla u celini polazi se od standardnih bilansnih integralnih metoda procene koje obezbeđuju ulaznu bazu graničnih uslova za numerički proračun definisanog matematičkog modela.…”

Section: Analiza I Rezultati Sistemaunclassified

Impact of air stagging in furnace on processes in power steam boiler TPP Kostolac B

Stupar¹,

Tucaković²

2021

Tehnika

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The European normatives prescribe the maximum content of 200 mg/Nm3 in dry flue gases with oxygen content of 6% for existing pulverized coal-fired power plants. In order to analyse the effects of applying some of the primary measures for NOx reduction on the overall steam boiler operation, calculational coupling of differential mathematical models has been applied. This calculation system enables reliable prediction of the performance of power steam boilers also in substoichiometric conditions, and the quality of the boiler operation can be described from the perspective of its effective, efficient, safe and ecological operation. In accorrdance to that, calculations of the steam boiler unit 1 TE Kostolac B have been carried out for the existing and the air staging combustion system. This paper presents an analysis of the influence of various parameters on the operation of the steam boiler with the application of primary measures.

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Section: Analiza I Rezultati Sistemaunclassified

Impact of air stagging in furnace on processes in power steam boiler TPP Kostolac B

Stupar¹,

Tucaković²

2021

Tehnika

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“…The ability to model coal degassing and char burning is the highest advantage of the Euler-Lagrange two-phase approach. Coal degassing was modelled using the single rate model [21,25,26]. In turn, the combustion of char particles was modelled using a kinetic diffusion model [5, 6, 8, 19-21, 25, 27].…”

Section: Boundary Conditions and Modelling Descriptionmentioning

confidence: 99%

Archives of Thermodynamics

Hernik,

Zabłocki

2020

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Power boilers should be characterized by high flexibility in terms of loads, which results from the demand for electricity. In addition to the flexibility of the boiler, it is also important for the boiler to operate under technical minimum conditions while maintaining harmful emissions standards. A boiler operating with a technical minimum should also exhibit a stable combustion process. The paper presents the results of numerical combustion research for the minimum load of the two-pass ultrasupercritical boiler with front wall swirl burners system. The combustion stability for the minimum boiler load of 40% for the three mill system configurations has been demonstrated. Based on the numerical tests carried out in terms of obtaining the most favourable combustion conditions and the emission of harmful substances, the most favourable of them cases was indicated.

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“…A suitable virtual environment needs to meet both accuracy and responsiveness requirements. Some methods using numerical simulation perform well in terms of accuracy but are too time-consuming (Adamczyk et al, 2014;Stupar et al, 2015). in recent years, data-driven modeling method has been widely adopted by researchers.…”

Section: Introductionmentioning

confidence: 99%

Selective Catalytic Reduction System Ammonia Injection Control Based on Deep Deterministic Policy Reinforcement Learning

et al. 2021

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The control of flue gas emission in thermal power plants has been a topic of concern. Selective catalytic reduction technology has been widely used as an effective flue gas treatment technology. However, precisely controlling the amount of ammonia injected remains a challenge. Too much ammonia not only causes secondary pollution but also corrodes the reactor equipment, while too little ammonia does not effectively reduce the NOx content. In recent years, deep reinforcement learning has achieved better results than traditional methods in decision making and control, which provides new methods for better control of selective catalytic reduction systems. The purpose of this research is to design an intelligent controller using reinforcement learning technology, which can accurately control ammonia injection, and achieve higher denitrification effect and less secondary pollution. To train the deep reinforcement learning controller, a high-precision virtual denitration environment is first constructed. In order to make the virtual environment more realistic, this virtual environment was designed as a special structure with two decoders and a unique approach was used in fitting the virtual environment. A deep deterministic policy agent is used as an intelligent controller to control the amount of injected ammonia. To make the intelligent controller more stable, the actor-critic framework and the experience pool approach were adopted. The results show that the intelligent controller can control the emissions of nitrogen oxides and ammonia at the outlet of the reactor after training in virtual environment.

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Assessing the impact of primary measures for NOx reduction on the thermal power plant steam boiler

Cited by 22 publications

References 20 publications

Impact of air stagging in furnace on processes in power steam boiler TPP Kostolac B

Impact of air stagging in furnace on processes in power steam boiler TPP Kostolac B

Archives of Thermodynamics

Selective Catalytic Reduction System Ammonia Injection Control Based on Deep Deterministic Policy Reinforcement Learning

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