TY  - JOUR
AU  - Milićević, Aleksandar
AU  - Belošević, Srđan
AU  - Žarković, Mileta
AU  - Tomanović, Ivan
AU  - Crnomarković, Nenad
AU  - Stojanović, Andrijana
AU  - Stupar, Goran
AU  - Deng, Lei
AU  - Che, Defu
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11021
AB  - When planning the development of the energy sector, significant attention is given to the energy from the renewable sources, amongst which the biomass has an important role. Computational fluid mechanics and machine learning models are the powerful and efficient tools which allow the analysis of various heat and mass transfer phenomena in energy facilities. In this study, the in-house developed CFD code and machine learning models (Random Forest, Gradient Boosting and Artificial Neural Network) for predicting the biomass trajectories, particle mass burnout and residence time in a swirl burner reactor are presented. Pulverized biomass combustion cases (fine straw, pinewood and switch grass) with various mean diameters (ranging between 60 and 650 μm) and different shape factors (within the range 0–1) are considered. The results of numerical simulations revealed a noticeably nonlinear dependence between the input values (particle types, sizes and shapes) and the output values (particle trajectories, mass burnout and residence time), mostly due to the complex swirling flow in the reactor. For particles with the mean diameters within the ranges considered, the mass burnout of particles generally decreases as the biomass particle shape factor increases. The residence time of pulverized biomass in the reactor shows in most cases a decreasing trend as the particle shape factor increases. Artificial Neural Network showed the best predictions for both particle mass burnout (RMSE = 0.083 and R2 = 0.937) and particle residence time (RMSE = 1.145 s and R2 = 0.900), providing the reliable assessment of these important indicators in the combustion process.
T2  - Biomass and Bioenergy
T1  - Effects of biomass particles size and shape on combustion process in the swirl-stabilized burner reactor: CFD and machine learning approach
VL  - 174
SP  - 106817
DO  - 10.1016/j.biombioe.2023.106817
ER  - 

@article{
author = "Milićević, Aleksandar and Belošević, Srđan and Žarković, Mileta and Tomanović, Ivan and Crnomarković, Nenad and Stojanović, Andrijana and Stupar, Goran and Deng, Lei and Che, Defu",
year = "2023",
abstract = "When planning the development of the energy sector, significant attention is given to the energy from the renewable sources, amongst which the biomass has an important role. Computational fluid mechanics and machine learning models are the powerful and efficient tools which allow the analysis of various heat and mass transfer phenomena in energy facilities. In this study, the in-house developed CFD code and machine learning models (Random Forest, Gradient Boosting and Artificial Neural Network) for predicting the biomass trajectories, particle mass burnout and residence time in a swirl burner reactor are presented. Pulverized biomass combustion cases (fine straw, pinewood and switch grass) with various mean diameters (ranging between 60 and 650 μm) and different shape factors (within the range 0–1) are considered. The results of numerical simulations revealed a noticeably nonlinear dependence between the input values (particle types, sizes and shapes) and the output values (particle trajectories, mass burnout and residence time), mostly due to the complex swirling flow in the reactor. For particles with the mean diameters within the ranges considered, the mass burnout of particles generally decreases as the biomass particle shape factor increases. The residence time of pulverized biomass in the reactor shows in most cases a decreasing trend as the particle shape factor increases. Artificial Neural Network showed the best predictions for both particle mass burnout (RMSE = 0.083 and R2 = 0.937) and particle residence time (RMSE = 1.145 s and R2 = 0.900), providing the reliable assessment of these important indicators in the combustion process.",
journal = "Biomass and Bioenergy",
title = "Effects of biomass particles size and shape on combustion process in the swirl-stabilized burner reactor: CFD and machine learning approach",
volume = "174",
pages = "106817",
doi = "10.1016/j.biombioe.2023.106817"
}

Milićević, A., Belošević, S., Žarković, M., Tomanović, I., Crnomarković, N., Stojanović, A., Stupar, G., Deng, L.,& Che, D.. (2023). Effects of biomass particles size and shape on combustion process in the swirl-stabilized burner reactor: CFD and machine learning approach. in Biomass and Bioenergy, 174, 106817.
https://doi.org/10.1016/j.biombioe.2023.106817

Milićević A, Belošević S, Žarković M, Tomanović I, Crnomarković N, Stojanović A, Stupar G, Deng L, Che D. Effects of biomass particles size and shape on combustion process in the swirl-stabilized burner reactor: CFD and machine learning approach. in Biomass and Bioenergy. 2023;174:106817.
doi:10.1016/j.biombioe.2023.106817 .

Milićević, Aleksandar, Belošević, Srđan, Žarković, Mileta, Tomanović, Ivan, Crnomarković, Nenad, Stojanović, Andrijana, Stupar, Goran, Deng, Lei, Che, Defu, "Effects of biomass particles size and shape on combustion process in the swirl-stabilized burner reactor: CFD and machine learning approach" in Biomass and Bioenergy, 174 (2023):106817,
https://doi.org/10.1016/j.biombioe.2023.106817 . .

TY  - JOUR
AU  - Deng, Lei
AU  - Ma, Shihao
AU  - Jiang, Jiahao
AU  - Tie, Yuan
AU  - Zhang, Yan
AU  - Zhu, Zhengrong
AU  - Belošević, Srđan
AU  - Tomanović, Ivan
AU  - Che, Defu
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10232
AB  - Cofiring biomass syngas (BS) with pulverized coal under the oxy-fuel condition is a promising technology, which could encourage the utilization of biomass energy and reduce the emission of greenhouse gases. To investigate cofiring characteristics of biomass syngas and coal, a numerical study was conducted. The influences of oxy-fuel condition, syngas quality, and injection position on temperature distributions and flue gas components in boiler furnace were analyzed. To predict cofiring characteristics accurately under oxy-fuel conditions, a new refined weighted-sum-of-gray-gases model, HCN oxidation model, and NO-char reaction model were used. The simulation results show that syngas reburning and oxy-fuel conditions could reduce NO emission. The NO emission in O2/CO2O2/CO2O2/CO2 conditions is higher than that in air. Biomass syngas with higher calorific values contributes to higher furnace temperatures. Besides, biomass syngas with higher hydrocarbon components is beneficial to lower NO emission. Compared to pure coal combustion, NO concentration at the furnace outlet reduces by 40.2%, 69.0%, and 35.2% in the cases of cofiring with Type A, B, and C biomass syngas at a cofiring ratio of 10%, respectively. The injection position of biomass syngas also has crucial impacts on cofiring characteristics and NO emissions. NO emission has the lowest value when the biomass syngas is injected at the bottom level of the reburn zone. This study could provide a reference for optimization of boiler design and operation when cofiring biomass syngas with pulverized coal under the oxy-fuel condition.
T2  - Journal of Energy Engineering
T1  - Numerical Investigation on Cofiring Characteristics of Biomass Syngas and Coal in a 660-MW Tower Boiler
VL  - 148
IS  - 3
SP  - 04022014
DO  - 10.1061/(ASCE)EY.1943-7897.0000829
ER  - 

@article{
author = "Deng, Lei and Ma, Shihao and Jiang, Jiahao and Tie, Yuan and Zhang, Yan and Zhu, Zhengrong and Belošević, Srđan and Tomanović, Ivan and Che, Defu",
year = "2022",
abstract = "Cofiring biomass syngas (BS) with pulverized coal under the oxy-fuel condition is a promising technology, which could encourage the utilization of biomass energy and reduce the emission of greenhouse gases. To investigate cofiring characteristics of biomass syngas and coal, a numerical study was conducted. The influences of oxy-fuel condition, syngas quality, and injection position on temperature distributions and flue gas components in boiler furnace were analyzed. To predict cofiring characteristics accurately under oxy-fuel conditions, a new refined weighted-sum-of-gray-gases model, HCN oxidation model, and NO-char reaction model were used. The simulation results show that syngas reburning and oxy-fuel conditions could reduce NO emission. The NO emission in O2/CO2O2/CO2O2/CO2 conditions is higher than that in air. Biomass syngas with higher calorific values contributes to higher furnace temperatures. Besides, biomass syngas with higher hydrocarbon components is beneficial to lower NO emission. Compared to pure coal combustion, NO concentration at the furnace outlet reduces by 40.2%, 69.0%, and 35.2% in the cases of cofiring with Type A, B, and C biomass syngas at a cofiring ratio of 10%, respectively. The injection position of biomass syngas also has crucial impacts on cofiring characteristics and NO emissions. NO emission has the lowest value when the biomass syngas is injected at the bottom level of the reburn zone. This study could provide a reference for optimization of boiler design and operation when cofiring biomass syngas with pulverized coal under the oxy-fuel condition.",
journal = "Journal of Energy Engineering",
title = "Numerical Investigation on Cofiring Characteristics of Biomass Syngas and Coal in a 660-MW Tower Boiler",
volume = "148",
number = "3",
pages = "04022014",
doi = "10.1061/(ASCE)EY.1943-7897.0000829"
}

Deng, L., Ma, S., Jiang, J., Tie, Y., Zhang, Y., Zhu, Z., Belošević, S., Tomanović, I.,& Che, D.. (2022). Numerical Investigation on Cofiring Characteristics of Biomass Syngas and Coal in a 660-MW Tower Boiler. in Journal of Energy Engineering, 148(3), 04022014.
https://doi.org/10.1061/(ASCE)EY.1943-7897.0000829

Deng L, Ma S, Jiang J, Tie Y, Zhang Y, Zhu Z, Belošević S, Tomanović I, Che D. Numerical Investigation on Cofiring Characteristics of Biomass Syngas and Coal in a 660-MW Tower Boiler. in Journal of Energy Engineering. 2022;148(3):04022014.
doi:10.1061/(ASCE)EY.1943-7897.0000829 .

Deng, Lei, Ma, Shihao, Jiang, Jiahao, Tie, Yuan, Zhang, Yan, Zhu, Zhengrong, Belošević, Srđan, Tomanović, Ivan, Che, Defu, "Numerical Investigation on Cofiring Characteristics of Biomass Syngas and Coal in a 660-MW Tower Boiler" in Journal of Energy Engineering, 148, no. 3 (2022):04022014,
https://doi.org/10.1061/(ASCE)EY.1943-7897.0000829 . .

TY  - JOUR
AU  - Yuan, Maobo
AU  - Liu, Hu
AU  - Wu, Ying
AU  - Liang, Yong
AU  - Deng, Lei
AU  - Belošević, Srđan
AU  - Tomanović, Ivan D.
AU  - Che, Defu
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10190
AB  - Fireside metal temperature is quite important in the safety evaluation of boiler water-cooled wall. While little literature reported the accurate temperature calculation model for spiral water-cooled wall. This paper proposes a coordinate transformation method for heat reallocation in the spiral water-cooled wall temperature calculation. A computational fluid dynamics (CFD) model based on a 600 MW tangentially coal-fired boiler is used to provide the original heat flux distributions under various boiler loads. The reallocated heat distribution directly maps with the flow path of the spiral water-cooled wall. The combination of the heat reallocation model and thermal-hydraulic model is realized in MATLAB platform. The calculated temperature distributions at the outlet of the spiral water-cooled wall agree well with the in-situ data, and the maximum relative errors under 100% BMCR load and 75% THA load are 2.7% and 3.2%, respectively. The numerical results show that the working fluid flow rates of the divided loops are almost equal and the maximum metal temperatures of the spiral water-cooled wall are 732.1 K, 710.4 K, 760.9 K and 792.9 K under 100% BMCR, 75% THA, 50% THA and 35% BMCR loads, respectively. The local overheating is likely to occur in low boiler load. This model is intended to improve the metal temperature calculation method of the spiral water-cooled wall, which could benefit the safety monitoring of the boiler under variable loads. © 2022 Elsevier Masson SAS
T2  - International Journal of Thermal Sciences
T1  - Coordinate transformation method for heat reallocation in the spiral water-cooled wall temperature calculation
VL  - 177
SP  - 107557
DO  - 10.1016/j.ijthermalsci.2022.107557
ER  - 

@article{
author = "Yuan, Maobo and Liu, Hu and Wu, Ying and Liang, Yong and Deng, Lei and Belošević, Srđan and Tomanović, Ivan D. and Che, Defu",
year = "2022",
abstract = "Fireside metal temperature is quite important in the safety evaluation of boiler water-cooled wall. While little literature reported the accurate temperature calculation model for spiral water-cooled wall. This paper proposes a coordinate transformation method for heat reallocation in the spiral water-cooled wall temperature calculation. A computational fluid dynamics (CFD) model based on a 600 MW tangentially coal-fired boiler is used to provide the original heat flux distributions under various boiler loads. The reallocated heat distribution directly maps with the flow path of the spiral water-cooled wall. The combination of the heat reallocation model and thermal-hydraulic model is realized in MATLAB platform. The calculated temperature distributions at the outlet of the spiral water-cooled wall agree well with the in-situ data, and the maximum relative errors under 100% BMCR load and 75% THA load are 2.7% and 3.2%, respectively. The numerical results show that the working fluid flow rates of the divided loops are almost equal and the maximum metal temperatures of the spiral water-cooled wall are 732.1 K, 710.4 K, 760.9 K and 792.9 K under 100% BMCR, 75% THA, 50% THA and 35% BMCR loads, respectively. The local overheating is likely to occur in low boiler load. This model is intended to improve the metal temperature calculation method of the spiral water-cooled wall, which could benefit the safety monitoring of the boiler under variable loads. © 2022 Elsevier Masson SAS",
journal = "International Journal of Thermal Sciences",
title = "Coordinate transformation method for heat reallocation in the spiral water-cooled wall temperature calculation",
volume = "177",
pages = "107557",
doi = "10.1016/j.ijthermalsci.2022.107557"
}

Yuan, M., Liu, H., Wu, Y., Liang, Y., Deng, L., Belošević, S., Tomanović, I. D.,& Che, D.. (2022). Coordinate transformation method for heat reallocation in the spiral water-cooled wall temperature calculation. in International Journal of Thermal Sciences, 177, 107557.
https://doi.org/10.1016/j.ijthermalsci.2022.107557

Yuan M, Liu H, Wu Y, Liang Y, Deng L, Belošević S, Tomanović ID, Che D. Coordinate transformation method for heat reallocation in the spiral water-cooled wall temperature calculation. in International Journal of Thermal Sciences. 2022;177:107557.
doi:10.1016/j.ijthermalsci.2022.107557 .

Yuan, Maobo, Liu, Hu, Wu, Ying, Liang, Yong, Deng, Lei, Belošević, Srđan, Tomanović, Ivan D., Che, Defu, "Coordinate transformation method for heat reallocation in the spiral water-cooled wall temperature calculation" in International Journal of Thermal Sciences, 177 (2022):107557,
https://doi.org/10.1016/j.ijthermalsci.2022.107557 . .

TY  - JOUR
AU  - Deng, Lei
AU  - Dong, Lingxiao
AU  - Bai, Yang
AU  - Wu, Yuhao
AU  - Liu, Hu
AU  - Belošević, Srđan
AU  - Tomanović, Ivan
AU  - Che, Defu
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10227
AB  - The ultra-supercritical double-reheat boiler has attracted more attention because of high parameters (steam with high temperature and pressure), low pollution and large capacity. However, there are some difficulties in the development of this technology, such as adjusting the reheat steam temperature. In this study, computational fluid dynamics simulation is used to analyze a 660 MW double-reheat tower-type pulverized coal-fired boiler. The influence of flue gas recirculation (FGR) on heat transfer characteristics and combustion process in the furnace (including heating surfaces in the upper parts of the furnace) are evaluated. The user-defined function approach predicates the CO reduction effect on NOx. The results show that the flow at the horizontal section through the centerline of recirculating flus gas nozzles is rotating. The velocity distribution changes into an elliptical rotating flow when FGR ratio is 20%. At higher FGR ratios, the high-temperature area (1565–1700 K) shrinks and both the NOx concentration at the low-temperature superheater outlet and the O2 concentration in the burner zone descend. The O2 concentration at the low-temperature superheater outlet first increases and then decreases. In the main combustion zone, the heat flux peak of water-cooled wall is about 330 kW m−2. As FGR ratio increases from 0% to 20%, the rate of heat absorption of water-cooled wall to that of total boiler decreases by 3.50%. These rates for reheater and superheater increase by 2.53% and 2.13%, respectively.
T2  - Fuel
T1  - Effects of flue gas recirculation on combustion and heat flux distribution in 660 MW double-reheat tower-type boiler
VL  - 321
SP  - 123988
DO  - 10.1016/j.fuel.2022.123988
ER  - 

@article{
author = "Deng, Lei and Dong, Lingxiao and Bai, Yang and Wu, Yuhao and Liu, Hu and Belošević, Srđan and Tomanović, Ivan and Che, Defu",
year = "2022",
abstract = "The ultra-supercritical double-reheat boiler has attracted more attention because of high parameters (steam with high temperature and pressure), low pollution and large capacity. However, there are some difficulties in the development of this technology, such as adjusting the reheat steam temperature. In this study, computational fluid dynamics simulation is used to analyze a 660 MW double-reheat tower-type pulverized coal-fired boiler. The influence of flue gas recirculation (FGR) on heat transfer characteristics and combustion process in the furnace (including heating surfaces in the upper parts of the furnace) are evaluated. The user-defined function approach predicates the CO reduction effect on NOx. The results show that the flow at the horizontal section through the centerline of recirculating flus gas nozzles is rotating. The velocity distribution changes into an elliptical rotating flow when FGR ratio is 20%. At higher FGR ratios, the high-temperature area (1565–1700 K) shrinks and both the NOx concentration at the low-temperature superheater outlet and the O2 concentration in the burner zone descend. The O2 concentration at the low-temperature superheater outlet first increases and then decreases. In the main combustion zone, the heat flux peak of water-cooled wall is about 330 kW m−2. As FGR ratio increases from 0% to 20%, the rate of heat absorption of water-cooled wall to that of total boiler decreases by 3.50%. These rates for reheater and superheater increase by 2.53% and 2.13%, respectively.",
journal = "Fuel",
title = "Effects of flue gas recirculation on combustion and heat flux distribution in 660 MW double-reheat tower-type boiler",
volume = "321",
pages = "123988",
doi = "10.1016/j.fuel.2022.123988"
}

Deng, L., Dong, L., Bai, Y., Wu, Y., Liu, H., Belošević, S., Tomanović, I.,& Che, D.. (2022). Effects of flue gas recirculation on combustion and heat flux distribution in 660 MW double-reheat tower-type boiler. in Fuel, 321, 123988.
https://doi.org/10.1016/j.fuel.2022.123988

Deng L, Dong L, Bai Y, Wu Y, Liu H, Belošević S, Tomanović I, Che D. Effects of flue gas recirculation on combustion and heat flux distribution in 660 MW double-reheat tower-type boiler. in Fuel. 2022;321:123988.
doi:10.1016/j.fuel.2022.123988 .

Deng, Lei, Dong, Lingxiao, Bai, Yang, Wu, Yuhao, Liu, Hu, Belošević, Srđan, Tomanović, Ivan, Che, Defu, "Effects of flue gas recirculation on combustion and heat flux distribution in 660 MW double-reheat tower-type boiler" in Fuel, 321 (2022):123988,
https://doi.org/10.1016/j.fuel.2022.123988 . .

TY  - JOUR
AU  - Deng, Lei
AU  - Zhang, Yan
AU  - Ma, Shihao
AU  - Zhu, Zhengrong
AU  - Liu, Hu
AU  - Belošević, Srđan
AU  - Tomanović, Ivan
AU  - Che, Defu
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/13110
AB  - Ultra‐supercritical double‐reheat technology, as one of the most advanced coal‐fired power generation technology, is an important direction for emission reduction and energy saving in the world. In this study, the numerical calculation was executed in a 660‐MW ultra‐supercritical double‐reheat tower‐type boiler under deep‐air‐staging conditions. The refined HCN oxidation model was adopted to substitute the default model implemented by the user‐defined functions to calculate the NO x emission. The influences of the boiler load, over‐fire air (OFA) ratio, and excess air coefficient on temperature, species, and heat flux distributions were investigated. Results show that the decrement of the boiler load from boiler maximum continuous rating to 50% turbine heat acceptance gives rise to an increase of NO x emission. The heat flux distributions along with the furnace width direction present bell shaped. When the OFA ratio rises from 17% to 43%, NO x emission descends from 357.7 to 179.3 mg m −3 at the furnace outlet, and the heat flux distributions become more uniform along with the furnace width direction with lower peaks. Temperatures, species, and heat flux distributions are similar under the three different excess air coefficients. The NO x emission is the lowest when the excess air coefficient is 1.15. The results could provide a reference for combustion characteristics optimization and hydrodynamic calculation of ultra‐supercritical double‐reheat tower‐type boiler.
T2  - Asia-Pacific Journal of Chemical Engineering
T1  - Numerical study on combustion characteristics and heat flux distributions of 660‐MW ultra‐supercritical double‐reheat tower‐type boiler
VL  - 16
IS  - 3
SP  - e2631
DO  - 10.1002/apj.2631
ER  - 

@article{
author = "Deng, Lei and Zhang, Yan and Ma, Shihao and Zhu, Zhengrong and Liu, Hu and Belošević, Srđan and Tomanović, Ivan and Che, Defu",
year = "2021",
abstract = "Ultra‐supercritical double‐reheat technology, as one of the most advanced coal‐fired power generation technology, is an important direction for emission reduction and energy saving in the world. In this study, the numerical calculation was executed in a 660‐MW ultra‐supercritical double‐reheat tower‐type boiler under deep‐air‐staging conditions. The refined HCN oxidation model was adopted to substitute the default model implemented by the user‐defined functions to calculate the NO x emission. The influences of the boiler load, over‐fire air (OFA) ratio, and excess air coefficient on temperature, species, and heat flux distributions were investigated. Results show that the decrement of the boiler load from boiler maximum continuous rating to 50% turbine heat acceptance gives rise to an increase of NO x emission. The heat flux distributions along with the furnace width direction present bell shaped. When the OFA ratio rises from 17% to 43%, NO x emission descends from 357.7 to 179.3 mg m −3 at the furnace outlet, and the heat flux distributions become more uniform along with the furnace width direction with lower peaks. Temperatures, species, and heat flux distributions are similar under the three different excess air coefficients. The NO x emission is the lowest when the excess air coefficient is 1.15. The results could provide a reference for combustion characteristics optimization and hydrodynamic calculation of ultra‐supercritical double‐reheat tower‐type boiler.",
journal = "Asia-Pacific Journal of Chemical Engineering",
title = "Numerical study on combustion characteristics and heat flux distributions of 660‐MW ultra‐supercritical double‐reheat tower‐type boiler",
volume = "16",
number = "3",
pages = "e2631",
doi = "10.1002/apj.2631"
}

Deng, L., Zhang, Y., Ma, S., Zhu, Z., Liu, H., Belošević, S., Tomanović, I.,& Che, D.. (2021). Numerical study on combustion characteristics and heat flux distributions of 660‐MW ultra‐supercritical double‐reheat tower‐type boiler. in Asia-Pacific Journal of Chemical Engineering, 16(3), e2631.
https://doi.org/10.1002/apj.2631

Deng L, Zhang Y, Ma S, Zhu Z, Liu H, Belošević S, Tomanović I, Che D. Numerical study on combustion characteristics and heat flux distributions of 660‐MW ultra‐supercritical double‐reheat tower‐type boiler. in Asia-Pacific Journal of Chemical Engineering. 2021;16(3):e2631.
doi:10.1002/apj.2631 .

Deng, Lei, Zhang, Yan, Ma, Shihao, Zhu, Zhengrong, Liu, Hu, Belošević, Srđan, Tomanović, Ivan, Che, Defu, "Numerical study on combustion characteristics and heat flux distributions of 660‐MW ultra‐supercritical double‐reheat tower‐type boiler" in Asia-Pacific Journal of Chemical Engineering, 16, no. 3 (2021):e2631,
https://doi.org/10.1002/apj.2631 . .