Combustion Systems Research Articles

Physically enhanced neural network based on projection map synthesis for chemiluminescence tomography reconstruction with limited views

In many combustion systems, data collection through optical windows is often hindered by fixed mechanical components that limit the number of available observation angles. This restriction poses a significant challenge to the accurate reconstruction of chemiluminescence tomography images with limited views. To address this limitation, we propose a novel projection interpolation approach for physically enhanced neural networks (PIPEN) to address this limitation. The PIPEN utilizes projection maps from two intersecting viewpoints and employs an interpolation network to estimate the projection maps for occluded views between these two angles. The interpolated and original projections are input into a physically enhanced neural network (PENN) to perform a volumetric tomography reconstruction. The PENN was designed to accommodate practical scenarios in which ground-truth data are unavailable. Furthermore, the loss function in PENN is enhanced with a total variation (TV) regularization term that mitigates noise and artifacts and improves the quality of the visual reconstruction. Experimental evaluations indicate that the PIPEN achieves a reconstruction performance comparable to that using a complete set of seven directions despite only utilizing projection maps from two orthogonal views. These results suggest that the PIPEN has significant potential for practical 3D flame reconstruction under constrained observation conditions.

Gasification-MILD combustion technology with ash-sludge recirculation for reducing multi-phase net dioxin discharges from a waste incineration.

This study addresses the challenge of reducing "net" toxic pollutant discharge, specifically dibenzo-p-dioxins and dibenzofurans (PCDD/Fs), while minimizing the energy consumption and costs associated with detoxification. Our research focuses on reintroducing fly ash and scrubber sludge (ASR) into a hazardous waste thermal treatment system equipped with gasification-intense low oxygen dilution (GASMILD) and an advanced air pollution control system (APCS). This approach yielded a remarkable PCDD/F removal efficiency exceeding 99.9% for both mass and toxic equivalent (TEQ), achieving a net destruction of PCDD/Fs within the system. The success can be attributed to the ASR material's richness in ultrafine particles, which act as nucleation cores during combustion, promoting particle growth and enhancing the capture of PCDD/Fs in the APCS. This leads to a significant reduction (over 93%) in both PCDD/F mass and World Health Organization-toxic equivalent (WHO-TEQ) concentration in the flue gas. While a phase transition of gaseous PCDD/Fs within the APCS caused a shift in the particle size distribution towards larger particles, the overall PCDD/F mass concentration in the stack emissions remained lower with ASR. Notably, the reintroduced PCDD/Fs tend to deposit in the nasal region of the respiratory tract, potentially reducing the health risks associated with deeper lung deposition. This research demonstrates the effectiveness of ASR in achieving net PCDD/F destruction within a GASMILD combustion system, offering a promising strategy for cleaner and more sustainable waste management practices. From a managerial perspective, this approach provides a cost-effective solution for PCDD/F mitigation, contributing to reduced emissions and improved public health.

Analysis of thermoacoustic instability and emission behaviors of lean premixed biogas/ammonia flame

Ammonia and biogas are promising renewable fuels that can reduce carbon emissions. This paper studies thermoacoustic instability and emission behaviors of biogas/ammonia co-firing swirl flame. The effects of CO2 proportion in biogas (), ammonia proportion () and equivalence ratio (Φ) on combustion characteristics were considered. A chemical reactor network (CRN) was established to advance comprehension regarding NO emission. The results show that high Φ and are more conducive to simultaneously suppressing thermoacoustic instability and NO emissions. Lower flame appears to have intense thermoacoustic instability when Φ near 0.90, and the instability intensity is significantly weakened when exceeds 20%. The CO2 in the mixture inhibits NO formation but promotes CO formation. The CRN results show that CO2 in biogas reduces NO emissions by inhibiting the HNO pathway and promoting the NHi pathway. This study furnishes a foundation for advancing clean and efficient low-carbon combustion systems.

Investigation of NO emission characteristics from co-combustion of methane and ammonia at high-altitude areas

The high-altitude areas of China are abundant in renewable energy and have a natural advantage in ammonia production. Based on this advantage, this paper proposes a co-combustion strategy for methane and ammonia to reduce carbon emissions in these areas. However, the NO emission characteristics associated with this strategy remain uncertain. A custom-designed combustion system capable of simulating high-altitude environments was used to investigate the effect of ammonia mixing ratio, equivalence ratio, and pressure on NO emission in methane/ammonia/air flames. Additionally, chemical kinetic calculations were conducted to explore the mechanisms of how sub-atmospheric pressure influences NO emission. The results indicate that for stoichiometric flames, NO increases with the ammonia mixing ratio. In fuel-rich flames, NO remains nearly constant once the ammonia mixing ratio exceeds 10%. Sub-atmospheric pressure leads to higher NO, particularly in fuel-rich flames, where the increase can reach up to 24.4%. Analysis of nitrogen reaction pathways and key radical concentrations reveals that sub-atmospheric pressure has a minimal effect on nitrogen conversion pathways. The variation in NO is achieved by altering the pathway contributions and the concentrations of H, NH, and N. This work provides direction and guidance for improving the application of methane and ammonia co-combustion in high-altitude areas.

Methane/Air Flame Control in Non-Premixed Bluff Body Burners Using Ring-Type Plasma Actuators

Enhancing the combustion efficiency and flame stability in conventional systems is essential for reducing carbon emissions and advancing sustainable energy solutions. In this context, electrohydrodynamic plasma actuators offer a promising active control method for modifying and regulating flame characteristics. This study presents a numerical investigation into the effects of a ring-type plasma actuator positioned on the co-flow air side of a non-premixed turbulent methane/air combustion system—an approach not previously reported in the literature. The ring-type plasma actuator was designed by placing electrodes along the perimeter of the small diameter wall of the air duct. The impact of the plasma actuator on the reacting flow field within the burner was analyzed, with a focus on its influence on the flow dynamics and flame structure. The results, visualized through velocity and temperature contours, as well as flow streamlines, provide insight into the actuator’s effect on flame behavior. Two operating modes of the plasma actuators were evaluated: co-flow mode, where the aerodynamic effect of the plasma actuators was directed downstream; and counter-flow mode, where the effects were directed upstream. The findings indicate that the co-flow actuation positively reduces the flame height and enhances the flame anchoring at the root, whereas counter-flow actuation slightly weakens the flame root. Numerical simulations further revealed that co-flow actuation marginally increases the energy release by approximately 0.13%, while counter-flow actuation reduces the energy release by around 7.8%.

Jet-Induced Compression Ignition (JICI)—Application of Spark-Assisted Compression Ignition (SACI) in a Combustion System with Active Pre-Chamber

<div>The application of short burn durations at lean engine operation has the potential to increase the efficiency of spark-ignition engines. To achieve short burn durations, spark-assisted compression ignition (SACI) as well as active pre-chamber (PC) combustion systems are suitable technologies. Since a combination of these two combustion concepts has the potential to achieve shorter burn durations than the application of only one of these concepts, the concept of jet-induced compression ignition (JICI) was investigated in this study. With the JICI, the fuel is ignited in the PC, and the combustion products igniting the charge in the main combustion chamber (MC) triggered the autoignition of the MC charge. A conventional gasoline fuel (RON 95 E10) and a Porsche synthetic fuel (POSYN) were investigated to assess the fuel influence on the JICI. Variations of the relative air/fuel ratio in the exhaust gas (λ<sub>ex</sub>) were performed to evaluate both the occurrence of the JICI and the dilution capability. To assess the sensitivity of the JICI, variations of the engine speed and the engine load were performed. When using RON 95 E10, a shift from a conventional PC combustion to the JICI was observed between λ<sub>ex</sub> = 2.3 and λ<sub>ex</sub> = 2.5. The variations of the engine speed and the engine load revealed an increased JICI intensity when the engine speed decreased and when the engine load increased. When using POSYN, no JICI was observed. The occurrence of the JICI was correlated to the knock resistances of the fuels, i.e., the lower knock resistance of RON 95 E10 yielded the JICI, whereas the higher one of POSYN did not. At λ<sub>ex</sub> = 2.8, applying POSYN resulted in an increase of the burn duration of 5.5°CA, which was a relative increase of 41%, compared to the use of RON 95 E10 due to the absence of the JICI in case of POSYN. However, the application of POSYN resulted in the highest net indicated efficiency (η<sub>i,net</sub>). In particular, the application of RON 95 E10 yielded a maximum of η<sub>i,net</sub> = 41.5% at λ<sub>ex</sub> = 2.6, whereas using POSYN resulted in a maximum of η<sub>i,net</sub> = 42.6% at λ<sub>ex</sub> = 2.2 due to the higher knock resistance of POSYN.</div>

Experimental Study on Constructing a Classification and Early Warning Index System for Non-Stick Coal Spontaneous Combustion

ABSTRACT Focused on the complex underground environment and the difficulty in quantitative characterization of CSC indicator gases, the temperature-programmed experiments were conducted to explore the releasing rule of gaseous compounds during the low-temperature oxidation process of nonstick coal, taking into account coal particle size and mine ventilation volume. By combining the rate of increase in oxygen consumption, the critical temperature for the coal was determined to be 60–80°C, and the dry cracking temperature ranging from 110°C to 120°C. The experimental process revealed that both particle size and ventilation volume have a significant impact on gaseous compounds. Therefore, the coefficient of variation method, gray relational analysis, and weighted gray relational analysis were introduced to evaluate the gas indexes of each temperature range by particle size and air volume. It was found that at 30–50°C, the O2/CH4 ratio was the primary indicator; at 60–80°C, the CO/O2 was selected as the primary index; at 110–120°C, the CO/CO2 and O2/CH4 were selected the primary indicators; and at 130–180°C, the C2H6/CH4 was selected the primary indicator. And build a graded early warning system for coal spontaneous combustion. This study provides a reference for the construction of grading prediction indicators for nonstick coal.

Advances and Challenges in Thermoacoustic Network Modeling for Hydrogen and Ammonia Combustors

The transition to low-carbon energy systems has heightened interest in hydrogen and ammonia as sustainable alternatives to traditional hydrocarbon fuels. However, the development and operation of combustors utilizing these fuels, like other combustion systems, are challenged by thermoacoustic instabilities arising from the interaction between unsteady heat release and acoustic wave oscillations. Among many different methods for studying thermoacoustic instabilities, thermoacoustic network models have played an important role in analyzing the essential dynamics of these instabilities in combustors operating with low-carbon fuels. This paper provides a comprehensive review of thermoacoustic network modeling techniques, focusing specifically on their application to hydrogen- and ammonia-based combustion systems. We outline the key mathematical frameworks derived from fundamental equations of motion, along with experimental validations and practical applications documented in existing studies. Furthermore, current research gaps are identified, and future directions are proposed to improve the reliability and effectiveness of thermoacoustic network models, contributing to the advancement of efficient and stable low-carbon combustors.

A Data-Driven Approach to Refine the Partially Stirred Reactor Closure for Turbulent Premixed Flames

AbstractAccurately predicting turbulent combustion processes is fundamental for optimizing efficiency, reducing pollutant emissions, and ensuring operational safety in combustion systems. To this purpose, computational fluid dynamics (CFD) simulations are widely employed. In particular, large eddy simulations (LES) balance prediction accuracy with computational efficiency by resolving only the most energy-containing scales of turbulence and rely on modeling the turbulence-chemistry interactions (TCI) occurring at the smallest scales. Among the existing closures, the partially stirred reactor (PaSR) model incorporates finite-rate chemistry and estimates a cell reacting fraction based on the local Damköhler number to account for the subfilter-scale TCI. Although widely validated in CFD computations, the PaSR model was found limited by the way it computes the cell reacting fraction. To tackle this point, our study proposes a machine learning (ML) enhanced partially stirred reactor model for LES. A fully connected neural network is trained on direct numerical simulation (DNS) data of turbulent premixed jet flames to compute a correction coefficient for the cell reacting fraction. Maintaining the original model shape, this ML-enhanced closure aims at bridging the gap between physics-based models and advanced data-driven techniques. The proposed formulation not only improves the prediction accuracy of quantities of interest such as the heat release rate but also features computational feasibility and generalisation capabilities over a large range of LES grid refinement. This demonstrates the significant potential of ML-aided TCI closures in future applications of combustion engineering.

Transformation of NO in Combustion Gases by DC Corona

This study investigates the performance of DC corona discharge electrostatic precipitators (ESPs) for NO conversion to increase DeNOx technologies’ efficiency for small-scale biomass combustion systems. Experiments were conducted using a 5 kW automatic wood pellet domestic heat source with combustion gas treated in a specially designed ESP operated in both positive and negative corona modes, resulting in a reduction in NO concentrations from 130 mg/m3 to 27/29 mg/m3 for positive/negative polarities (at 0 °C and 101.3 kPa). NO conversion efficiency was evaluated across a range of specific input energies (SIEs) from 0 to 50 J/L. The results demonstrate that DC corona ESPs can achieve up to 78% NO reduction, with positive corona demonstrating a greater energy efficiency, requiring a lower SIE (35 J/L) compared to the negative corona mode (48 J/L). A detailed analysis of reaction pathways revealed distinct conversion mechanisms between the two modes. In positive corona, dispersed active species distribution led to more uniform NO conversion, while negative corona exhibited concentrated reaction zones with about 20% higher ozone production. The reactions involving O and OH radicals were more important in positive corona, whereas ozone-mediated oxidation dominated in negative corona. The research results demonstrate that ESP technology with DC corona offers a promising, energy-efficient solution for NOx control in small-scale combustion systems.

Pyrolysis/Non-thermal Plasma/Catalysis Processing of Refuse-Derived Fuel for Upgraded Oil and Gas Production

AbstractRefuse-derived fuel (RDF) produced from the processing of municipal solid waste (MSW) has a high content of biomass and plastics. Pyrolysis of RDF produces a bio-oil which is highly oxygenated, viscous, acidic with a high moisture content and unsuitable for direct use in conventional combustion systems and consequently requires upgrading. A novel process of pyrolysis with non-thermal plasma/catalysis has been developed to produce de-oxygenated bio-oils and gases from RDF. The volatiles from the pyrolysis stage are passed directly to a non-thermal plasma/catalytic reactor where upgrading of the pyrolysis volatiles takes place. Detailed analysis of the product oils and gases is presented in relation to process conditions and in the presence of different catalysts (TiO₂, MCM-41, ZSM-5, and Al₂O₃). Even in the absence of a catalyst, the presence of the non-thermal plasma resulted in high yields of CO and CO₂ gases and reduced bio-oil oxygen content, confirming deoxygenation of the RDF pyrolysis volatiles. The addition of catalysts MCM-41 and ZSM-5 generated the highest yields of CO, CO₂, and H₂ due to the synergy between catalyst and plasma. The catalysts ranked in terms of total oxygenated oil yield are as follows: MCM-41 < ZSM-5 < TiO₂ < Al₂O₃. Pyrolysis of RDF produces an oil containing oxygenated species from biomass and hydrocarbon species from plastics. The non-thermal plasma generates high energy electrons which generate radicals and intermediates from the pyrolysis volatiles which synergistically interact with the catalysts to enable deoxygenation of the oxygenated hydrocarbons through decarboxylation and decarbonylation reactions. Graphical Abstract

Exploring the combustion characteristics of turbulent premixed ammonia/hydrogen/air flames via DTF model-based large eddy simulation

This study aims to investigate the combustion characteristics of a premixed swirl flame for a fuel mixture made of ammonia and hydrogen. The use of NH3 and H2 as carbon-free fuels in combustion systems can significantly reduce greenhouse gas emissions. Blending ammonia with hydrogen is a promising approach to enhance hydrogen combustion safety and ammonia combustion intensity. A three-dimensional large eddy simulation using a DTF model was run in order to get extensive and multi-scale information regarding the flow and reacting field of a premixed swirl flame using a 50% NH3/50% H2 fuel blend. The findings indicate that whereas NO is created near the flame front, OH radicals are mostly synthesized in the inner recirculation zone. The fuel-NO pathway, which is sensitive to flame temperature, is what causes NO to be produced. The flame position is where the recirculation zone lies, and the total recirculation strength is determined by the inner recirculation strength. The prediction of NO concentration by LES, considering heat loss, is closer to the experimental value. The chemically reacting network simulation can precisely estimate NO emission by considering the heat loss ratio and the recirculation strength calculated by LES. Overall, this study provides valuable insights into the combustion characteristics of an ammonia/hydrogen fuel blend, which could contribute to the development of cleaner and more efficient combustion technologies. The findings of this study can be of great significance in the fields of sustainable energy and environmental protection.

Development of a co-catalytic combustion system with the integration of non-stoichiometric hexaaluminate and NiO to improve methane partial oxidation

Development of a co-catalytic combustion system with the integration of non-stoichiometric hexaaluminate and NiO to improve methane partial oxidation

Methods for evaluating the purity and combustion characteristics of motor fuels

This article is the fourth in a series of articles aimed at introducing common methods for evaluating both conventional and alternative fuels. In previous articles, we focused on the determination of elements and non-hydrocarbon compounds, as well as the evaluation of physical and chemical properties. This article focuses on other not yet-discussed properties such as gum content, total impurities, ash content, carbonization residue, octane number, cetane number, and cetane index. The main goal of the article is to provide an overview of which fuels are used, why these properties are monitored, and what methods are used for this monitoring. Emphasis is placed mainly on standardized tests, but in some cases, additional tests not required by the standard are also discussed. Conventional and alternative fuels must meet the technical requirements defined by the relevant product standards. The fulfillment of these requirements is to ensure that, in addition to other properties, the relevant fuel will be of good quality and that the engine will not be damaged during its use. In addition to the technical requirements for fuels, the product standards also define the tests that are used to verify that the fuel meets the defined requirements. As mentioned above, this article is another in a series of articles aimed at presenting methods for evaluating both conventional and alternative fuels. In this article, we present an overview of the properties of fuels that have not yet been discussed in this series of articles. These are properties associated with the content of impurities present in the fuel (total impurities) or those impurities, or products that may arise during thermal stress on the fuel in the combustion system (ash content, carbonization residue, gum content). Furthermore, in this text, we will focus on the properties of fuels that characterize the fuel susceptibility to knocking (octane number) or the so-called hard running of the engine (cetane number and cetane index). In the article, we present for which fuels these properties are monitored, what are the limit values of these parameters and what are the reasons for their monitoring. We also present the testing methods that are used to determine these properties.

Optimization Strategy to Reduce Unplanned Low Power Engine Breakdowns on PC-2000 Units at PT Antareja Mahada Makmur

Low-power machine breakdowns that occur unplanned (unscheduled) on the PC-2000 unit are one of the main obstacles in maintaining operational efficiency in the workshop area of PT Antareja Mahada Makmur Jobsite Mifa Bersaudara. This study aims to identify the main causes and design optimization strategies to reduce the frequency of these events. The research methodology included analysis of historical damage data, technical inspection of the affected machine components, and evaluation of the quality of the fuel used. Based on the analysis, it was found that the use of B35 fuel (35% biodiesel) is one of the significant factors affecting engine performance, especially in the combustion system and fuel injection components. The implementation of preventive maintenance-based strategies, including increased frequency of fuel injection system inspections, replacement of vulnerable components, and use of fuel additives to improve combustion efficiency, reduced the frequency of breakdowns by 40% within three months of implementation. The results of this study emphasize the importance of mitigating the impact of B35 fuel use on engine performance through a planned maintenance approach. Recommendations include developing technical guidelines specific to biodiesel fuel use and training technicians to support more reliable operational sustainability.

Thermodynamic model of coal direct chemical looping combustion

ABSTRACT Chemical looping combustion (CLC) technology offers cost-effective CO2 emission reduction. Coal direct chemical looping (CDCL) emerges as a promising solid fuel CLC technology owing to its ability to directly utilize coal without prior gasification, enhancing system integration and efficiency. Despite significant progress in CDCL, challenges persist, including carbon deposition and insufficient oxidation and reduction of oxygen carriers (OCs). This study conducted a thermodynamic equilibrium analysis of a CDCL combustion reactor using Cantera 3.0, a chemical calculation module developed at the California Institute of Technology. The analysis explored the impact of different temperatures, OC-to-coal molar ratios (θ), and OCs types on combustion products. By employing the minimum Gibbs function method and analyzing intrinsic reaction mechanisms, the study provides insights for predicting and optimizing system performance. Thermodynamic equilibrium analysis revealed that with CuO as the OC, insufficient OC (θ < 0.6) led to Cu as the reduction product, while sufficient OC (0.6 < θ < 1.3) yielded Cu and CuO, and excess OC (θ > 1.3) resulted in Cu2O. To optimize CO2 capture, a molar ratio of θ of at least 1.4 and a temperature of at least 800°C are recommended. When Fe2O3 served as the OC, insufficient OC (θ < 0.45) produced Fe and FeO, while excess OC generated FeO and Fe3O4. Optimal operational performance and CO2 capture efficiency required an OC-to-coal molar ratio exceeding 1.4 and a temperature higher than 700°C. This study demonstrates that in CDCL combustion systems, selecting appropriate OCs, temperatures, and OC-to-coal molar ratios ensures stable and efficient combustion and CO2 capture. These findings offer crucial guidance for optimizing system operation.

USING AMMONIA FUEL AS A MEASURE TO REDUCE GREENHOUSE GASES

The presented work highlights the possibilities of using ammonia as an alternative fuel in order to achieve low-carbon development of the state and strengthen the fight against greenhouse gases. Since the Industrial Revolution, combustion has been the primary method of energy conversion for human activities, including power generation and transportation. Today, these sectors continue to rely heavily on hydrocarbon fuels. As a result, the largest absolute increase in carbon dioxide emissions in 2022 was from electricity and heat production. With global electricity demand increasing by 2.7%, emissions in the energy sector increased by 1.8% (or 261 Mt), reaching an all-time high of 14.6 Gt. Thus, a large part of CO2 emissions is produced through these sectors, which is the main culprit of global warming, undermining the fight against climate change. The need for decarbonization is taken into account by program documents, including government strategies, which not only warn but also prohibit the excessive formation of pollutants and stimulate the promotion of carbon-free technologies in energy sectors. It is common knowledge that the innovative development of fuel combustion technologies is necessary to achieve the future goals of a carbon-neutral system. Despite the considerable efforts made to reduce greenhouse gas emissions during the combustion of hydrocarbons, for example, by increasing the combustion efficiency, these efforts are not enough to achieve low greenhouse gas emissions. The progress in this field is analyzed and it is found that ammonia is receiving increasing attention as one of the most attractive energy carriers due to its carbon-free nature. However, the use of ammonia in combustion is not without problems, including low flame speed, narrow flammability limits, and tendency to NOx formation. Therefore, the further introduction of ammonia as a fuel in energy and industry requires comprehensive studies of the combustion working process. Research should be based on determining the influence of the main technological factors, the possibility of using mixed fuels, as well as establishing the optimal geometric and mode parameters of the fuel combustion system.

Dedicated Methanol Combustion System for Maximum Efficiency

Dedicated Methanol Combustion System for Maximum Efficiency

Numerical Analysis of Soot Dynamics in C3H8 Oxy-Combustion with CO2 and H2O

Oxygen-enriched combustion is increasingly recognized as a viable approach for clean energy production and carbon capture, offering substantial benefits for boosting combustion efficiency and mitigating pollutant emissions, which makes it widely adopted in various industrial applications. Liquefied petroleum gas (LPG), predominantly consisting of propane (C3H8), is commonly utilized in numerous combustion systems, yet its emissions of soot particulates have raised considerable environmental concerns. This study delves into the combustion dynamics and soot formation behavior of propane, the principal component of LPG, under oxy-fuel combustion conditions, with the inclusion of H2O and CO2, utilizing both experimental techniques and numerical simulations. The results reveal that CO2 and H2O suppress soot formation through distinct mechanisms. CO2 decreases soot nucleation and surface growth by lowering flame temperature and H atom concentration, but it minimally enhances soot oxidation. H2O significantly reduces soot formation by chemically increasing OH radical concentration, thereby enhancing soot oxidation. A detailed decoupling analysis further shows that CO2’s influence is predominantly thermal and chemical, resulting in lower OH levels and an elongated flame shape. In contrast, H2O’s substantial thermal and chemical effects decrease flame height and promote soot reduction. These insights advance the understanding of soot formation control in oxy-fuel combustion, offering strategies to optimize combustion efficiency and minimize environmental impact.

Combustion Characterization and Kinetic Analysis of Coupled Combustion of Bio-Syngas and Bituminous Coal

The coupled combustion of bio-syngas and bituminous coal is an effective technology to reduce pollutant emissions from coal-fired power plants and improve the utilization rate of biomass energy. However, the effects of bio-syngas blending on bituminous coal combustion characteristics and reaction kinetics remain unclear, restricting the development of bio-syngas and bituminous coal combustion technology. In this study, the experimental studies on the coupled combustion of bio-syngas and bituminous coal under different bio-syngas lower-heating-value-based blending ratio (BLBR) were carried out by Micro-Fluidized Bed Reaction Analyzer (MFBRA), the coupled combustion characteristics and kinetic reaction mechanism of coupled combustion of bio-syngas and bituminous coal were analyzed. The results indicated that the nucleation and growth model (F1 Model) provided a reasonable description of the bituminous coal combustion process on the coupled combustion of bio-syngas and bituminous coal in MFBRA. The blending of bio-syngas significantly reduces the apparent activation energy and pre-exponential factor of bituminous coal combustion reaction. In particular, when the BLBR is 5, 10, 20, and 30%, the apparent activation energy is 48.70, 45.45, 46.75, and 42.35 kJ·mol−1, and the pre-exponential factor is 9.26, 7.10, 8.95, and 6.70 s−1, respectively. This research is helpful for improving the coupled combustion efficiency and ensuring the efficient operation of the coupled combustion system.