Improving the efficiency of fuel combustion with regard to the uncertainty of measuring oxygen concentration

Babak, Vitalii; Mokiychuk, Valentin; Zaporozhets, Artur; Redko, Oleksandr

doi:10.15587/1729-4061.2016.85408

Cited by 22 publications

(4 citation statements)

References 10 publications

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“…For example, in previous studies [15,16], it is noted that the most suitable among the four types of biomass considered (sunflower husk, rapeseed cake, corn straw, and willow) in terms of energy and environmental indicators for use in domestic fuel boilers with a capacity of 10 kW are fuel pellets (pellets) made from sunflower husks and willow. There are also some studies on the possibility of maintaining the air excess coefficient in boiler units of small and medium power [17,18].…”

Section: Introductionmentioning

confidence: 99%

Increasing the Efficiency of Loading Devices for Biomass Boilers

Shyshko,

Cherniavskyi,

Shyshko

et al. 2024

Energies

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The article examines a method of loading biomass waste into a boiler unit, which ensures the gas tightness of the boiler’s working chamber by forming a “plug” of biomass as it moves through the cylindrical channel of the screw feeder. Local biomass wastes (sunflower husks, coniferous wood sawdust, and walnut shells) were selected for the study, a distinctive feature of which is that they did not undergo any prior processing before use (drying, fractionation, grinding, etc.). The properties of biomass as a bulk material (angle of internal friction) were determined experimentally. According to the results, sawdust from coniferous wood has an average angle of internal friction that is 1.48 times bigger than that of sunflower husks and 1.29 times bigger than walnut shells, while the average loading mass of sawdust is 2.2 times less than that of sunflower husks and 2.6 times less than that of walnut shells. This low bulk density and high angle of internal friction for sawdust suggest the likelihood of spontaneous compaction and layer suspension. Experimental studies were also conducted on the compaction force of the biomass layer. It was found that neither coniferous wood sawdust nor walnut shells can be used in the proposed feeder because the sawdust forms a dense layer that does not disperse under any compaction, and the walnut shells do not form a “plug” in the studied pressure range. Therefore, only sunflower husks were used for further studies. The empirical dependence of the density of the sunflower husk layer on the compaction pressure was obtained from the results. It was determined that to ensure a suction level through a screw feeder with a diameter of 0.1 ÷ 0.25 m into the furnace of the boiler unit of no more than 0.1 m3/h with a pressure difference between the boiler furnace and the surrounding environment ΔP = 0.05 ÷ 0.3 kPa, the relative increase in the density of the “plug” from sunflower husks should not exceed the bulk density of the uncompacted layer by more than 11.5%. Experimentally, it was determined that the geometric dimensions of the “plug” from sunflower husk, which ensure the necessary level of gas tightness of the feeder, depend only on the diameter of the channel and are 1.136·d. Calculations were made to obtain the dependencies of the compaction force of the biomass waste layer on the level of suction (in the studied range Q = 0.01 ÷ 0.1 m3/h) into the furnace of the boiler unit under controlled pressure drops (in the studied range ΔP = 0.05 ÷ 0.3 kPa) between the boiler furnace and the surrounding environment for feeders with different screw diameters (d = 0.1 ÷ 0.25 m), which can be used for the practical determination of the geometric and operational parameters of the screw feeder when operating a boiler unit on sunflower husks.

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Section: Introductionmentioning

confidence: 99%

Increasing the Efficiency of Loading Devices for Biomass Boilers

Shyshko,

Cherniavskyi,

Shyshko

et al. 2024

Energies

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“…The boiler operation can become highly efficient by optimizing combustion control, which is adjustable based on the air-fuel ratio (AFR), as shown in combustion theory [5]. Boiler efficiency can be verified in real-time if there is a system, or combustion conditions can be monitored and controlled by checking the O 2 and CO amounts in the flue gas discharged through an exhaust air duct if a system is not available.…”

Section: Introduction 1background Of Studymentioning

confidence: 99%

Prediction Modeling of Flue Gas Control for Combustion Efficiency Optimization for Steel Mill Power Plant Boilers Based on Partial Least Squares Regression (PLSR)

Lee,

Choi,

Lee

2023

Energies

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The energy-intensive steel industry, which consumes substantial amounts of electricity, meets its power demands through external electricity purchases and self-generation through the operation of its own generators. This study aimed to optimize boiler combustion efficiency and increase power generation output by deriving optimal operational values for O2 and CO within the boiler flue gas using machine learning (ML) with the aim of achieving maximum boiler efficiency. This study focuses on the power-generation boilers at steel mill P in Korea. First, 361 types of operation data from power generation equipment were collected and preprocessed. Subsequently, a partial least squares regression (PLSR) algorithm was used to develop a prediction model for O2 and CO values, known as the Boiler Flue Gas Prediction Model (BFG-PM). The prediction accuracy for O2 was notably high (83.2%), whereas that for CO was lower (53.4%). Nonetheless, the model’s reliability was high because more than 90% of the predicted values were within a 10% error range. Finally, the correlation of the BFG-PM model was applied to the performance test code (PTC) 4.0 for the boiler efficiency calculations formula, deriving the optimal O2 and CO control points. Through a simulation, it was verified that the boiler efficiency was improved by controlling the combustion air. In addition, an average increase in boiler efficiency of 0.29% was confirmed by applying it directly to the generator operating on-site. The results of this study are expected to contribute to annual cost savings, with a reduction of USD 217,000 in electricity purchasing costs and USD 19,700 in greenhouse gas emissions trading expenses.

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“…Progressively, China's air quality has been improving gradually, with major cities observing a 21% reduction in annual PM2.5 concentrations since 2018. The government has also committed to a long-term strategy focusing on reducing carbon emission intensity through the use of non-fossil fuel energy (Babak et al, 2016). The latest Five-Year Plan emphasizes investment in clean energy technologies, signaling a firm move towards wind, solar, and nuclear power, especially with investments in onshore technologies and offshore wind in coastal regions.…”

Section: Introductionmentioning

confidence: 99%

Development of Renewable Energy Businesses within China’s Green Industry Framework

KORABAYEV,

KORABAYEV

2023

Management and Production Engineering Review

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The main goal of the research is to develop a set of guidelines for the development of business within the framework of the green industry, in compliance with all current environmental regulations, as applied to the realities of the current economic situation in China. The methodology basis is a combination of system analysis of the key principles of business development within the framework of environmental strategy in China with a comprehensive analysis of green industry concept as a factor limiting the activities of enterprises to avoid environmental pollution. The results obtained in the research indicate the presence of significant results in the interaction of government and business in the framework of mutually beneficial collaboration for the growth of the green industry. Chinese business structures invest in the development of “green” industrial and manufacturing technologies while ensuring the necessary level of environmental protection.

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Improving the efficiency of fuel combustion with regard to the uncertainty of measuring oxygen concentration

Cited by 22 publications

References 10 publications

Increasing the Efficiency of Loading Devices for Biomass Boilers

Increasing the Efficiency of Loading Devices for Biomass Boilers

Prediction Modeling of Flue Gas Control for Combustion Efficiency Optimization for Steel Mill Power Plant Boilers Based on Partial Least Squares Regression (PLSR)

Development of Renewable Energy Businesses within China’s Green Industry Framework

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