Tuesday, July 14, 2026

  

New coal purification-combustion method shows stable low-load performance and ultra-low NOₓ emissions





Higher Education Press

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Graphical abstract

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Credit: Shaobo Yang, Shaobo Han et al.






A research team from the Institute of Engineering Thermophysics, Chinese Academy of Sciences has reported a novel coal purification-combustion technology that enables stable and efficient ultra-low nitrogen oxide combustion under low-load conditions, as published in Engineering. The work was carried out on a 200 kW integrated test system, with a focus on purification performance and nitrogen migration mechanisms at approximately 55% load.

 

The technology integrates medium-temperature activation, high-temperature purification, and moderate or intense low-oxygen dilution combustion into a continuous process. Pulverized coal first undergoes activation in a circulating fluidized bed at around 850 °C, during which volatile nitrogen is released and partially reduced to N₂, with coal nitrogen conversion to N₂ ranging from 43.8% to 53.1%. This step significantly increases the specific surface area and pore development of char particles, providing more active sites for subsequent high-temperature reactions.

 

In the high-temperature purification stage operated at more than 150 °C above the ash flow temperature of each coal type, inorganic components are effectively separated with removal rates between 62% and 85%. Coal is converted into high-temperature gaseous fuel dominated by CO and H₂, while char nitrogen is extensively released and reduced. The conversion of coal nitrogen to N₂ reaches 93.6%–96.6% in this section, creating favorable conditions for low-pollutant combustion.

 

The high-temperature gas–solid fuel then enters the combustion chamber and realizes MILD combustion through multi-stage staged air distribution. In the reduction zone, NH₃ is completely converted to N₂, and the remaining char nitrogen is gradually released and reduced, lifting coal nitrogen conversion to N₂ above 99.6%. The oxidation zone completes char burnout with controlled temperature and mixing intensity to limit NO formation.

 

Tests using three coal types show that raw NO emissions at the furnace outlet are 34.6 mg·m⁻³ for Shenmu bituminous coal, 42.1 mg·m⁻³ for Beishan lignite, and 28.4 mg·m⁻³ for Yihua coal. Combustion efficiency remains above 99.6% across all tested fuels under the low-load condition. The system demonstrates stable operation and consistent performance, supporting the feasibility of this approach for clean coal utilization in power systems with high renewable penetration.

 

The study clarifies the transformation pathways of fuel-nitrogen throughout activation, purification, and MILD combustion, providing a technical route for improving operational flexibility and reducing pollutant emissions in coal-fired units under low-load conditions.

 

The paper “A Novel Coal Purification-Combustion Technology: Purification Characteristics and Ultra-Low Nitrogen Combustion at Low Load,” is authored by Shaobo Yang, Shaobo Han, Ruifang Cui, Linxuan Li, Chen Liang, Shuai Guo, Neng Fang, Wei Li, Qiangqiang Ren. Full text of the open access paper: https://doi.org/10.1016/j.eng.2025.09.026. For more information about Engineering, visit the website at https://www.sciencedirect.com/journal/engineering.

MIT researchers develop MFRNet digital twin for efficient industrial combustion system optimization




Higher Education Press
The general workflow of building digital twin for multi-field reconstruction, scalar prediction and multi-objective optimization based on MFRNet. 

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The general workflow of building digital twin for multi-field reconstruction, scalar prediction and multi-objective optimization based on MFRNet.

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Credit: Linzheng Wang, Yaojun Li, Sili Deng





A research team from the Massachusetts Institute of Technology has introduced a data-driven digital twin framework named Multi-Field Reconstruction Net (MFRNet) for industrial-scale combustion systems, aiming to support low-carbon energy transition with improved data efficiency and multi-task integration. The work was published in Engineering, providing a scalable solution for 3D multi-physical field reconstruction, emission prediction, and operational optimization under limited high-fidelity data conditions.

 

Against the background of growing use of carbon-neutral fuels such as biomass in combustion facilities, researchers note that conventional digital twin approaches often separate reconstruction and optimization processes, and demand extensive high-fidelity 3D simulation data that is computationally costly to generate. The MFRNet framework integrates dimension expansion, variable extension, and dynamic feature fusion to address these limitations, unifying multi-field reconstruction and multi-objective optimization within one machine learning pipeline.

 

In the validation using an industrial biomass grate furnace, the team constructed a hybrid dataset including 288 low-fidelity 2D cases covering eight physical fields and 48 high-fidelity 3D cases covering eleven physical fields. The model is first pre-trained on low-fidelity 2D data to explore the high-dimensional condition space, then fine-tuned on a small set of 3D data through dimension expansion to capture z-direction heterogeneity and boundary effects. Variable extension modules further infer NO-related species distributions including NO, HCN, and NH₃ by reusing latent features from core combustion variables learned during pre-training.

 

The study shows that MFRNet supports multi-modal inputs consisting of operational parameters and sparse temperature measurements, aligned via contrastive learning to enable robust reconstruction even with partial input information. By leveraging intermediate features from the reconstruction stage, the framework enhances scalar prediction for key indicators such as CO and NO emissions at the furnace outlet. The fused features improve prediction accuracy compared with direct neural network mapping, supporting reliable response surface construction.

 

The trained digital twin is applied to multi-objective optimization using the NSGA‑II algorithm, targeting minimized CO and NO emissions under fixed capacity conditions. The optimization generates Pareto fronts that reveal trade-offs between combustion efficiency and pollutant control, supporting the identification of practical operating strategies. The framework maintains high precision in 3D multi-field reconstruction while substantially reducing dependence on computationally expensive 3D simulations, showing adaptability to diverse industrial combustion systems.

 

This integrated digital twin approach offers a data-efficient pathway for active control and real-time optimization of modern combustion facilities, supporting stable operation and low-emission performance in the shift toward low-carbon energy systems.

 

The paper “Building Digital Twin for 3D Multi-Field Reconstruction and Optimization of Industrial-Scale Combustion Systems,” is authored by Linzheng Wang, Yaojun Li, Sili Deng. Full text of the open access paper: https://doi.org/10.1016/j.eng.2025.08.020. For more information about Engineering, visit the website at https://www.sciencedirect.com/journal/engineering.

Flue gas-driven molten-salt heat exchanger boosts flexibility of coal-fired power plants





Higher Education Press

Concept of the heat storage system integrated with a coal-fired power plant. 

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Concept of the heat storage system integrated with a coal-fired power plant.

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Credit: Jinliang Xu, Hongliang Su et al.





A new study published in Engineering introduces a flue gas‑driven molten‑salt‑heat‑exchanger (MSHE) designed to enhance the operating flexibility of coal‑fired power plants, supporting grid stability amid growing renewable energy integration. This work marks the first experimental investigation into using furnace flue gas directly to drive a molten‑salt heat storage system, offering an alternative to conventional steam‑driven configurations.

 

The research addresses the need for improved load‑following capability in coal‑fired units, which traditionally face constraints in ramping speed and operational stability when balancing intermittent wind and solar generation. Unlike steam‑vapor‑driven molten‑salt systems, the flue gas‑driven approach eliminates pinch temperature limitations (PTL) associated with phase‑change heat transfer and simplifies system layout by requiring only a single heat exchanger. The MSHE employs three key design innovations: finned tubes to balance thermal resistance between flue gas and molten salt, a weak inclination angle to enable gravity‑driven drainage of molten salt during shutdown, and a modular structure to promote uniform temperature distribution at the tube bundle outlet.

 

Researchers designed, fabricated, and tested a 300 kW MSHE prototype coupled with a 10 MW furnace. Experimental results show measured overall heat transfer coefficients agree with model predictions within a deviation of less than 10%, and the unit achieved a thermal power of 320 kW, exceeding the design target. A new heat transfer correlation for molten salt was developed across a wide range of Reynolds numbers, supporting accurate performance prediction for engineering scale‑up. The modular design limited temperature deviations among different tubes to below 4 K, reducing risks of local overheating and molten salt decomposition.

 

The system supports both heat storage and heat compensation modes, using flue gas to offset heat losses from the storage system to the surroundings and lowering auxiliary electricity consumption during standby periods. Transient tests show stable transitions between operating states within 180 to 600 seconds, supporting responsive control under variable conditions. Long‑term testing over one year revealed no significant degradation in heat transfer or flow performance, confirming operational robustness.

 

Based on prototype data, a 10 MW MSHE has been designed and integrated into a 350 MWe coal‑fired power plant, helping the unit achieve a load variation rate of 6% Pe/min, comparable to gas turbine levels. Compared with steam extraction schemes, the flue gas route delivers higher round‑trip efficiency and a simpler system structure, reducing investment complexity while maintaining reliable heat storage and release. The technology provides a practical pathway to upgrade conventional coal‑fired units for more flexible grid support in low‑carbon energy systems.

 

The paper “Developing Flue Gas-Driven Molten-Salt-Heat-Exchanger for Flexible Operation of Coal-Fired Power Plant,” is authored by Jinliang Xu, Hongliang Su, Xinyu Dong, Xiongjiang Yu, Chao Liu, Yan Wang, Jian Xie, Wei Wang, Yupu Yu, Qinghua Wang, Yuguang Niu, Jizhen Liu, Ying Huang, Zhengshun Zhang, Anyou Dong, Yan Pan, Hao Wu. Full text of the open access paper: https://doi.org/10.1016/j.eng.2025.09.001. For more information about Engineering, visit the website at https://www.sciencedirect.com/journal/engineering.

Can cosmetic procedures become addictive? New study links addiction risk to social media and body image





The Hebrew University of Jerusalem

Israeli Center for Addiction and Mental Health (ICAMH) 

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Israeli Center for Addiction and Mental Health at Hebrew University 

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Credit: Dudi Lazar






As cosmetic procedures become increasingly normalized worldwide, new research suggests that for some women, repeated treatments may become addiction-like rather than purely cosmetic. The study found that one in five women who had undergone cosmetic procedures met the threshold for moderate-to-severe risk of addictive cosmetic procedure use, with low body esteem and problematic social media use emerging as the strongest risk factors.

As cosmetic procedures surge worldwide and beauty content increasingly dominates social media platforms, a new study from the Hebrew University of Jerusalem, suggests that for some women, cosmetic treatments may begin to resemble compulsive or addiction-like behavior. The study, led by Dr. Vera Skvirsky alongside Dr. Uri Lifshin, Dr. Dvora Shmulewitz, and Prof. Mario Mikulincer from the Department of Psychology at Hebrew University of Jerusalem and the Israel Center for Addiction and Mental Health (ICAMH), examined what the researchers describe as “addictive cosmetic procedures use,” or ACPU, among Jewish Israeli women.

Published in the Journal of Health Psychology, the study surveyed 1,614 women between the ages of 25 and 71, making it one of the larger investigations to date into the psychological patterns associated with repeated cosmetic treatments. The findings point to a phenomenon that researchers say deserves greater attention from both clinicians and the public. Among women who had undergone cosmetic procedures, 20% met the threshold for moderate to severe risk of addictive cosmetic procedure use during their lifetime. More than 15% reported symptoms that were active within the past year.

Across the full sample, nearly 9% of women showed moderate to severe signs of problematic cosmetic procedure use. The researchers adapted an assessment tool originally based on the Diagnostic and Statistical Manual of Mental Disorders criteria for substance-related disorders. Participants were asked questions typically associated with addiction, including whether they had unsuccessfully tried to stop undergoing cosmetic procedures, felt compelled to continue despite negative consequences, or experienced cravings related to treatments.

While previous research has linked cosmetic procedures to body-image concerns and body dysmorphic disorder, this study goes further by examining whether repeated cosmetic treatments can, in some cases, resemble a behavioral addiction. Unlike earlier studies, which often focused on patients at cosmetic clinics, this research surveyed more than 1,600 women from the general population and found that addiction-like patterns were most strongly associated with the combination of low body esteem and problematic social media use.

While cosmetic procedures are often associated with confidence and self-expression, the researchers found that repeated engagement may also intersect with vulnerabilities tied to body-image and digital behavior. Women with lower body esteem were significantly more likely to report addictive patterns of cosmetic procedure use, particularly when paired with high levels of problematic social media use. Participants who reported problematic or excessive social media behavior were especially vulnerable if they also struggled with dissatisfaction about their appearance.

The researchers also observed smaller associations between addictive cosmetic procedure use and lower feminist attitudes, lower attachment security, and more negative attitudes toward aging, though those relationships were less consistent once multiple factors were analyzed together.

The findings arrive amid a sharp global increase in cosmetic procedures. According to international estimates cited in the paper, cosmetic interventions worldwide rose by roughly 40% between 2019 and 2023.

The researchers stressed that the study does not argue cosmetic procedures are inherently harmful. Rather, they say the results suggest that in some cases, repeated engagement may take on characteristics similar to behavioral addictions already recognized in mental health research.

“Cosmetic procedures have become deeply normalized in many societies, and for many people they may be a positive experience,” said the researchers. “But our findings suggest that for a meaningful minority, the behavior may begin to resemble other compulsive patterns we see in addiction research, especially when low body esteem and problematic social media use are involved.”

The researchers cautioned that the study was cross-sectional, meaning it cannot determine cause and effect. It remains unclear whether problematic social media use contributes to addictive cosmetic behavior, whether cosmetic procedures themselves influence body image and online engagement, or whether other psychological factors drive both.