The first stage blades of a heavy-duty gas turbine compressor are newly independently developed and designed, which use the advanced 3D modeling technology to design high-performance blade profiles. It is necessary to master the blades’ vibration characteristics to verify the reliability of the blades. The finite element method was used to analyze the vibration frequency of the blades under dynamic frequency testing conditions and actual operating conditions. Meanwhile, the radio telemetry technology has been introduced to verify the dynamic frequency of the blade. The dispersion effects caused by blade material and processing tolerances, as well as assembly tolerances were also considered. The results indicate that the theoretical analysis of blade vibration is consistent with the test characteristics, with a deviation of no more than 1.2%. The theoretical frequency avoidance margin of compressor blades under operating conditions can meet the deviation between numerical analysis methods and experimental testing methods, as well as the frequency influence caused by material, processing, and assembly factors, and still have a large safety margin. The research results provide guidance for the development of gas turbine compressor blades, as well as the upgrading, improvement, and vibration monitoring of blades throughout their entire lifecycle.

Supercritical carbon dioxide (S-CO₂) printed circuit heat exchangers (PCHEs) are widely used in Brayton cycle power generation system, but PCHE faces problems such as uneven heat transfer and poor comprehensive performance under different working conditions. To improve the overall performance of PCHE in the Brayton cycle, the comprehensive performance (PEC) of S-CO₂ on both the cold and hot sides of PCHE under different parameters was numerically investigated, by using S-CO₂ as the working fluid, and varying the convergent-divergent pitch period (T), cross-sectional area ratio (β), and the ratio of convergent length to divergent length (γ). The results show that when β and γ are fixed, the pitch period on the cold side is inversely proportional to the overall performance, while the optimal pitch period on the hot side ranges from 15 mm to 25 mm. The PEC values of PCHE with convergent-divergent pitch periods are consistently greater than 1, indicating superior performance compared to the conventional straight-channel designs. Under a cold-side operating pressure of 22 MPa, the PCHE shows a relatively high comprehensive performance compared to the hot-side operating pressure of 8.5 MPa. When the cross-sectional area ratio β exceeds 1, all PEC values are greater than 1, and the intensified convective heat transfer between the fluid and the wall enhances the overall performance. With other conditions held constant, the system achieves better comprehensive performance when the ratio of convergent to divergent length γ is 3/7. The results provide a reference basis for optimizing the comprehensive performance of PCHE with gradually varying cross-section flow channels.

High-temperature environments can lead to the deterioration of the heat dissipation performance of indirect air cooling towers. Air inflow spray pre-cooling is an effective method to enhance the heat dissipation performance of indirect air cooling towers. Taking a 2×350 MW indirect air cooling unit in northwest China as the research object, a numerical model coupling the spray evaporation with the ventilation and heat dissipation of the indirect air cooling tower is established to study the effect of air inflow spray pre-cooling on the performance of the indirect air cooling tower with different environmental factors. The results show that crosswind can carry the spray downstream, causing the spray to accumulate and benefiting the radiators in the leeward area the most. The performance improvement of the radiators in the windward area decreases with the increasing wind speed, while the radiators in the side area even experience performance degradation at medium to high wind speeds. Additionally, as the wind speed increases, the spray flows out of the annular evaporation zone, resulting in some pre-cooled ambient air failing to enter the radiators and leading to spray waste and reduced effectiveness. The improvement rate of heat dissipation in the indirect air cooling tower after air inflow spray pre-cooling decreases at first and then increases with the increasing wind speed. At an ambient humidity of 40%, the heat dissipation improvement rate decreases from 5.65% at 0 m/s to a minimum of 2.03% at 8 m/s, and then rises to 3.98% at 12 m/s. The effectiveness of air inflow spray pre-cooling weakens with the increasing ambient humidity. Under windless conditions, as the humidity increases from 20% to 80%, the heat dissipation improvement rate of the indirect air cooling tower decreases from 6.4% to 2.4%.

Abnormal stator core temperatures in generators can lead to serious issues such as aging of insulating materials and winding shorts, thereby affecting the overall performance and lifespan of the generator. This study presents a stator core temperature prediction model for turbo generators based on FFCM-MHDA-iTransformer. It leverages an improved Transformer architecture, namely the inverted Transformer (iTransformer) model, which adopts an inverted time-series encoding approach to address the limitations of the standard Transformer in handling multivariate variable correlations. The model employs fused Fourier convolution mixer (FFCM) to enhance and extract local features from time-series data. Furthermore, the model replaces conventional self-attention with multi-head differential attention (MHDA), effectively reducing attention noise and directing the model’s focus towards critical information. After training and validation, the proposed model demonstrates higher prediction accuracy compared to other mainstream prediction models. It facilitates timely detection of potential faults, preventing shutdowns for maintenance, and holds significant application value for ensuring stable operation of turbo generators. This approach effectively enhances the accuracy and practicality of temperature prediction technology.

To address the issues of reduced combustion efficiency and increased pollution caused by the easy deposition of pulverized coal particles from lower burners of coal-fired boilers in cold ash hoppers, a CFD numerical simulation method is used to comparatively analyze the boiler combustion characteristics under the working conditions before the supplementary lifting air is applied, when the swirl burners near the side walls are deflected by 5° toward the center of the furnace, and after the supplementary lifting air is applied. The results show that after the supplementary lifting air is applied, the lifting effect on the lower pulverized coal airflow is enhanced, the deposition amount of unburned carbon particles is reduced by 30.5%, and the burnout rate is increased to 99.44%. The deflection of the burners makes the flame narrow and elongated, reduces the temperature of the side walls, but increases the CO concentration in the cold ash hopper. The supplementary lifting air reduces the CO concentration by enhancing the O₂ supply at the bottom. After the lifting air is supplemented, the air staging is significantly intensified, the reducing atmosphere in the main combustion zone is enhanced, and the NO mass concentration (standard condition) at the furnace outlet is reduced from 315.3 mg/m³ to 282.1 mg/m³. The retrofit of theburner deflection and lifting air at the bottom of the boiler can effectively regulate the pulverized coal transport path, inhibit particle sedimentation, and reduce pollutant emissions. The research results can provide a theoretical basis and engineering practice guidance for related boiler transformations.

A field test and numerical simulation study is carried out on the slagging problem of a 1 000 MW double-tangential coal-fired boiler during the co-firing of high ash melting point coal and low ash melting point coal. The test results show that as the proportion of low ash melting point coal increases, the slagging in the furnace shows a significant aggravation trend. When the proportion of low ash melting point coal is 50%, slight slagging occurs in the furnace. When the proportion increases to 67%, large-scale coking occurs on the bottom of the large screen heat transfer surface. When the proportion reaches 83%, the slagging situation deteriorates significantly, and the proportion of slag blocks in the furnace slag exceeds 40%. The numerical simulation results of slagging are in good agreement with the field operation test results. The results show that slagging is mainly concentrated in the front and rear wall areas, and the degree of slagging on each heat transfer surface increases with the proportion of low ash melting point coal. Although the addition of low ash melting point coal does not significantly change the near-wall temperature, the significant reduction of the ash melting point of the mixed coal is the fundamental reason for the deterioration of slagging. The operation mode of low ash melting point coal in the burner has a significant effect on slagging, especially when the low ash melting point coal is co-fired in layers D and C, the slagging trend is particularly obvious. It is recommended to prioritize the arrangement of low ash melting point coal in layers A and B, followed by layer F, and avoid co-firing low ash melting point coal in layers D and C.

When multiple units are used for combined heating, the distribution of thermoelectric loads among the units significantly affects overall energy consumption. For a thermal power plant where Unit 1 and Unit 3 adopt a dual-mode coupled heat-supply method with zero output of the low-pressure cylinder and steam extraction, and Unit 2 and Unit 4 adopt a triple-mode coupled heat-supply method with high back-pressure, heat pump, and steam extraction, an off-design condition model was established using EBSILON software. The thermoelectric characteristics and energy consumption characteristics were analyzed by adjusting parameters such as main steam flow, zero output steam volume of the low-pressure cylinder, heat supply power of the heat pump, and high-back-pressure heat-supply flow rate. The operational boundaries of electrical and thermal loads and the relationship between coal consumption and thermoelectric load were fitted using the least squares method. Under the fixed boundary conditions for the entire plant’s heating load and power supply load, the optimization of thermoelectric load distribution was achieved using particle swarm optimization. The results indicate that large-capacity high back pressure heat pump units should provide heat load, and small-capacity high back pressure heat pump units should provide electric load. After optimization, the total coal consumption of the whole plant was reduced by 0.6~10.0 t/h, resulting in a degree of optimization of 0.3%~3.9%.

As an important parameter reflecting the combustion process, temperature distribution in a furnace is related to the safety, economy and pollutant emission level of the combustion process, which is of great significance for boiler control and the study of the combustion process in the furnace. The radiation imaging method is suitable for reconstruction of furnace temperature field due to its high temporal and spatial resolution and easy implementation on site. An online measurement technology of furnace temperature field based on optical tomography is proposed. A reconstruction algorithm combining deep learning with regularization algorithm is adopted to solve the ill-posed problem in the temperature field reconstruction process. Firstly, a radiation imaging model is established according to the set parameters such as furnace size, medium radiation characteristics, and CCD camera installation position. A large amount of data is obtained through direct problem calculation. Then, the appropriate Tikhonov regularization parameter is found through an automatic optimization algorithm to construct the training data set, and the accuracy and stability of the solution are evaluated. Finally, a deep neural network model is established to predict the optimal regularization parameter and then reconstruct the temperature field. The results show that this furnace temperature field reconstruction algorithm has an error less than 5%, showing good accuracy. After adding the measurement error, the reconstruction error is within 5%, indicating that the method is robust. At the same time, this method has high computational efficiency and meets the requirements of real-time monitoring of temperature fields.

The hydrophobic resin-based solid amine adsorbent was prepared by modifying porous materials with different-molecular-weight polyethyleneimine (PEI), by taking hydrophobic oily macroporous adsorbent resin as carrier. The specific surface area, pore structure, functional group structure and thermogravimetric properties of the resin-based solid amine adsorbent were characterized by N₂ isothermal adsorption-desorption, infrared and thermal analysis. The effects of PEI loading, air humidity (30%~80%), adsorption time and multiple cycles on the adsorption performance of CO₂ were investigated. The results show that, the hydrophobic resin-based solid amine adsorbent has good trapping performance for CO₂ in dry air (air humidity is less than 50%). The SD300 resin-based solid amine adsorbent modified by 30%PEI can reach more than 90% of the total adsorption capacity after one hour adsorption in atmospheric environment. When the molecular weight of the PEI is 1 800, it shows high adsorption capacity and good cycle stability of adsorption and desorption, mainly due to the high pore size and its excellent high temperature resistance.

The distribution characteristics of the air flow field inside the natural-draft direct-air-cooling exhaust tower under low-temperature and low-load operating conditions still remain unclear. There is an urgent need to study its variation laws and propose effective measures to ensure exhaust performance and anti-freezing safety. Through the computational fluid dynamics (CFD) numerical simulation, the flow and temperature fields inside the tower at ambient temperatures of –21 ℃ and –30 ℃, and at different wind speeds are analyzed. The results indicate that, based on the symmetrical operation of steam isolation valves for sector switching of the air-cooled condenser, using louvers to regulate airflow in isolated sectors can effectively optimize the internal airflow field, ensure smooth exhaust under low-temperature conditions in winter, and significantly reduce the risk of localized freezing. Field tests verified that this measure can reduce the unit backpressure by approximately 2 kPa and improve the flue gas flow deviation.