The ultra-supercritical double-reheat power generation technology has become an important development direction of thermal power generation technology due to its high efficiency and low emissions. A dynamic simulation model of the double-reheat boiler was established by the GSE software based on a 660 MW ultra-supercritical double-reheat coal-fired boiler with triple-rear passes. The variation laws of the main, primary, and secondary reheat steam parameters after disturbance by coal flow rate, feed-water flow rate, feed-water temperature and excess air coefficient under 100%THA working condition were calculated in detail. Moreover, the variation laws of steam temperature at the boiler outlet under the working conditions of 100%THA, 75%THA and 50%THA were compared. The simulation results show that the response of steam parameters at the boiler outlet is the slowest after feed-water temperature is disturbed, and the stability time is approximately 2 300 s under 100%THA working condition. The response of steam parameters at the boiler outlet is the fastest after excess air coefficient is disturbed, and the stability time is approximately 720 s. The stability times of the steam parameters at the boiler outlet are approximately 1 040 s and 1 250 s respectively after coal flow rate and feed-water flow rate are disturbed. In the initial stages of transient processes after coal flow rate, excess air coefficient and feed-water temperature are disturbed, there are short-term “reverse” changes in the steam temperature at the boiler outlet. In addition, the thermal inertia of the double-reheat boiler will increase as the boiler load decreases. The simulated dynamic characteristics of the double-reheat coal-fired boiler with triple-rear passes can provide the basis for further optimization of the unit operation control strategies.

Driven by the “dual-carbon” goals, the establishment of integrated energy systems in industrial parks, and the large-scale renewable integration have imposed heightened flexibility requirements on coal blending for thermal power units. The coal blending process comprises two stages: pre-furnace and in-furnace operations. During pre-furnace blending, a minimum coal quality deviation model addresses low-calorific-value coal utilization. Chaos search-based adaptive mutation particle swarm optimization blends such coal into furnace-compliant mixtures meeting boiler specifications. For in-furnace blending, dynamic adjustment of coal ratios across load ranges ensures load stability while minimizing fuel costs. A two-stage optimization model resolves circulating fluidized bed (CFB) boiler blending: Stage 1 selects coal feeder combinations according to weekly peak chemical plant loads and PV generation scenarios; Stage 2 optimizes coal feed rates under load-balance constraints, incorporating desulfurization-driven sulfur content limits. Comparative analysis under spring irradiance conditions reveals that in-furnace blending of two coals reduces daily combustion costs by 4.36×10⁵ yuan. Post-retrofit evaluation of blending of three coals demonstrates a further reduction in daily fuel costs.

Accurate modeling of main-steam temperature is the foundation for studying its control strategy. To address the contradiction between mechanism completeness and model practicality of the conventional modeling methods, a hybrid modeling method for main steam temperature integrating mechanism model and system identification was proposed. A mechanistic model of main steam temperature was established based on the lumped parameter method. The model includes the effects of flue gas heat transfer, steam flow rate and desuperheating water flow rate. According to the closed-loop operation data of a thermal power plant boiler, the model parameters were identified using differential evolution algorithm. Compared with the boiler design values, the identification results show an increase in thermal resistance of ash layer and a decrease in convective heat transfer coefficient of flue gas, which conforms to physical laws. The model was then verified using operational data from different time periods. The results indicate that the mean absolute error between the calculated results and the operational data is less than 1 ℃, which proves the accuracy of the model. By utilizing the model, the dynamic characteristics of the main-steam temperature were further analyzed, and several improved control strategies were proposed, such as increasing the feedforward signals of the coal feeding rate and the attemperator inlet steam temperature, and adopting a load-based fuzzy controller. The simulation results show that the deviation of the main-steam temperature is reduced, which proves the established model has guidance effect on optimizing the main-steam temperature control system.

Driven by the large-scale integration of renewable energy and the national “dual-carbon” strategic goals, the construction of a new power system imposes higher requirements on the flexible operation of coal-fired units. However, coal-fired units face challenges such as reduced combustion instability and steam parameters deviating from design values during low-load operation. Therefore, in-depth research on coordinated control characteristics of low-load stable combustion and flue gas temperature in boilers is of significant importance for deep and flexible peak regulation. Taking a 600 MW subcritical tangentially fired boiler in a power plant as the object, the effects of injecting primary air exhaust gas from the pulverized coal conveying system into different locations of the furnace (main combustion zone, reduction zone, burnout zone) on the velocity, temperature and component concentration field, and the flue gas temperature at the platen zone are systematically studied under 50% load condition. The analysis specifically focuses on the synergistic influence mechanism of combustion organization on the combustion stability of the boiler and the regulation of flue gas temperature. The results indicate that injecting primary air exhaust gas into various furnace locations can form a stable tangential flow pattern and high-temperature zone, without significantly affecting the boiler’s low-load combustion stability. Injecting the primary air exhaust gas into the reduction zone elevates the high-temperature flame region to some extent, which is beneficial for maintaining steam parameters during deep flexible peak regulation, yielding superior coordinated performance for both low-load stable combustion and flue gas temperature regulation. Through numerical analysis, the coordinated control strategy for achieving stable combustion at low loads and regulating flue gas temperature through the reuse of primary air exhaust gas is determined. The study results can provide a basis for the low-load operation of this type of coal-fired boiler during deep peak shaving.

Steam ejector technology integrated into combined heat and power systems enables effective thermal-electric decoupling and deep load following, with ejector performance directly influencing overall efficiency and operational stability. A one-dimensional thermodynamic design model for high-temperature and high-pressure steam ejectors is developed by incorporating the development characteristics of the compressible mixing layer. The concept of compressible mixing layer thickness is introduced based on the entrainment mechanism to determine the radial dimensions of the ejector. Numerical simulations are performed to evaluate ejector performance and flow field characteristics, which guide the optimization of axial dimensions. The optimal structural parameters are identified as a nozzle-to-mixing chamber distance of 6 mm, a mixing chamber length of 42 mm, and a diffuser angle of 4.4°. An experimental system is constructed to validate the proposed design method, and the results show an average relative error of 6.6% between the predicted and measured entrainment ratios, demonstrating the model’s accuracy. The results provide a theoretical foundation for the structural design of high-temperature and high-pressure steam ejectors and hold significant potential for practical engineering applications.

As the working medium of turbine speed-control systems in power plants, phosphate ester fire-resistant fluid (FRF) plays a vital role in the normal operation of steam turbines. During operation, the deterioration of FRF may result in an increase in acid value, a decrease in volume resistivity, and the formation of oil sludge, and the degree of decomposition and deterioration varies among different oils. The chemical composition of different kinds of FRF samples was analyzed, the deterioration process of different phosphate ester molecules was simulated, and their aging-resistance properties were tested. The results show that the performance of FRF with tris-(dimethylphenyl) phosphate as the main component is more stable than that of FRF with tert-butylphenyl phosphate as the main component. During the production of FRF, the content of dimethylphenyl in triaryl phosphate should be increased, and the content of phenyl and tert-butyl phenyl should be reduced.

As an emerging high-moisture solid waste treatment method, smoldering disposal technology shows unique advantages in the disposal of high-moisture and low-calorific sludge. However, its self-sustaining propagation process is easily affected by material characteristics and operating parameters, and there is a risk of propagation instability caused by the attenuation of reaction intensity. Taking high-moisture sludge (moisture content >65%) as the disposal object, this study systematically investigates the effects of the mixing ratio of quartz sand to sludge (2:1~5:1) and air Darcy velocities (5~8 cm/s) on smoldering propagation under biomass conditioning, and explores the boundary of biomass conditioning ratio for complete smoldering propagation. The results show that under the condition of a fixed Darcy flow rate of 5 cm/s, the critical biomass conditioning ratio linearly increases from 4% to 10% and the critical unit calorific value of the smoldering system remains stable at approximately 0.339 MJ/kg when the sand-sludge mixing ratio is increased from 2:1 to 5:1. When the sand-sludge mixing ratio is fixed at 3:1, the critical biomass conditioning ratio linearly decreases from 6% to 2% when the air Darcy velocity increases from 5 cm/s to 8 cm/s, corresponding to a linear decrease in critical unit calorific value from 0.339 MJ/kg to 0.172 MJ/kg. The material exhibits collapse characteristics after smoldering disposal, and the biomass conditioning ratio has no significant effect on the top collapse height when it exceeds the critical value. These results can provide reliable scientific references for solving the efficient smoldering disposal of high-moisture sludge.

Traditional biomass resources are rarely adopted by coal-fired power plants due to their seasonal availability and regional dispersion. A novel Arundo donax L. variety, characterized by high yield and robust adaptability to marginal lands such as tidal flats and coastal wetlands, offers a viable solution to these challenges. In this study, based on a 2×1 000 MW ultra-supercritical pressure once-through boiler, co-firing experiments of this novel Arundo donax L. were carried out, and its effects on thermal system, powder making system, and combustion characteristics of thermal power units were analyzed. The results show that the thermal power plant unit operation is stable after adding 15% Arundo donax L. particles. However, the stone coal discharge increases, the coal mill current is elevated by about 5%~10%, the maximum elevation of the coal mill inlet and outlet differential pressure is elevated by 10%~15%, the combustion intensity in the furnace decreases slightly. The low grindability index of Arundo donax L. is the key factor affecting the operation of the unit, and the study concludes that the torrefaction interval of about 250~300 ℃ is the best interval to improve the grindability index of Arundo donax L.

Biomass fuel is a renewable and clean energy source that can replace fossil fuels and reduce carbon emissions. However, during storage and transportation, microbial metabolism in biomass can cause self-heating, which, through the “chimney effect”, accelerates air circulation and promotes aerobic reactions, potentially leading to thermal runaway and fires. Given that biomass typically has rod-like and flake-like shapes, conventional porous media gas flow resistance models are poorly adapted for assessing these processes. In this study, a testing platform for the gas flow resistance characteristics of biomass porous media was established. Gas flow resistance tests were conducted on rice straws and soybean shells at different bulk densities. The parameters of the conventional Ergun model and the modified Ergun model were optimized. The results show that the resistance experienced by gas flowing through biomass porous media significantly increases with bulk density and gas velocity, exhibiting a pronounced upward parabolic relationship. As the load applied to the biomass increases from 50 kg/m² to 2 800 kg/m², its bulk density can increase by approximately two times. Ignoring the changes in bulk density and porosity caused by stacking height in biomass self-heating numerical simulations can lead to prediction deviations. Both the Ergun model and the modified Ergun model can be used to evaluate the gas flow resistance of typical flake-like or rod-like biomass. The modified Ergun model, with fewer parameters and direct calculation based on bulk density, significantly enhances engineering applicability.

Coal-fired power generation coupled with biomass is one of the efficient carbon-reduction technologies for coal-fired units. As a typical energy plant, arundo donax has the characteristics of high yield, strong environmental adaptability and high calorific value, and can be used for large-scale coal-fired power generation. To investigate the effect of co-firing arundo donax in a pulverized-coal boiler on NO_x emissions and explore the migration pathways of fuel nitrogen during the co-combustion of coal and arundo donax, a co-combustion reaction model of arundo donax and coal was established with a two-stage plug flow reactor (PFR). The formation characteristics and reaction mechanisms of nitrogen oxides during co-combustion of the arundo donax and coal in a pulverized-coal boiler were studied, focusing on exploring the influences of co-firing ratio, over-fire air (OFA) ratio, and OFA position on the formation characteristics of nitrogen oxides. The results show that the NO_x emission can be reduced by co-firing arundo donax, and the mass concentration of NO_x decreases with the increase in co-firing ratio of arundo donax. The NO_x conversion rate and NO_x mass concentration first decrease and then increase with the increase in over-fire air ratio, and there is an optimal over-fire air ratio (around 33%) to minimize NO_x emissions. Delaying the position of the OFA leads to a decrease in both the NO_x conversion rate and NO_x mass concentration. By studying the NO_x formation characteristics and the nitrogen migration pathways during co-combustion of coal and arundo donax, theoretical guidance can be provided for parameter setting and reducing exhaust NO_x emissions in the co-combustion of arundo donax for coal-fired power generation.

The existing alkaline electrolysis hydrogen production technology primarily focuses on performance testing of electrolyzers and optimization of flow fields in electrolysis cells, and little attention is paid to overall description of the hydrogen production system as well as the mechanism modeling and simulation of key equipment. To solve this problem, using gPROMS process simulation software and referencing chemical process simulation methods, a distributed parameter model based on mechanism analysis was established for a 200 m³/h (standard condition) alkaline water electrolysis hydrogen production system. The key equipment of the system was finely modeled and simulated. By comparing the simulation results with experimental data, the results show that the simulated values of the main performance parameters of the system have good consistency with the measured data. The calculated average error is less than 5%, which verifies the effectiveness of the model. The established model can describe and predict the changes in system parameters, providing methods and support for subsequent system design, optimization, and control.

As an important path for the combination of renewable energy and hydrogen energy, the technology coupling wind solar power with hydrogen production and storage through water electrolysis has shown great potential in energy transformation. However, large-scale grid-connected hydrogen production stations have problems such as uneven power distribution and insufficient consideration of the differences in response characteristics between alkaline and proton exchange membrane (PEM) electrolyzers. Therefore, this paper proposes an optimized scheduling strategy for the double-layer array of wind-solar hydrogen production hybrid electrolyzers. Firstly, with the goal of maximizing the net income of the system, a multi-time-scale optimization strategy is adopted to allocate the power of the wind and solar hydrogen production system. Secondly, considering the differences in hydrogen production efficiency and dynamic response characteristics between the alkaline and the PEM electrolyzers, optimal scheduling is performed for the array of alkaline and PEM hybrid electrolyzers. As a result, based on the two-layer optimization strategy, the ratio of the on-grid electricity generation to the power generation of the grid-connected wind and solar hydrogen production and storage system is infinitely close to the set value of 40%, and the comprehensive power curtailment rate is 1.89%, which greatly reduces the curtailment rate of wind and solar power in the system. The operational characteristics of the alkaline and PEM electrolyzers are fully utilized to achieve the full utilization of fluctuating renewable energy and enhance the stability and safety of the hydrogen production system operation.

To address the challenges of flow regulation and pressure mismatch in conventional solid-gas coupled hydrogen storage reactors, this study proposes a novel reactor configuration incorporating the Venturi entrainment effect. A multi-physics coupled numerical model is developed to investigate the influence of nozzle structural parameters and key operating conditions on hydrogen release performance, and comparative analyses are conducted against single-mode hydrogen storage systems. The results demonstrate that nozzle geometry has a significant nonlinear effect on entrainment performance. Specifically, a nozzle with a length of 9~13 mm and diameter of approximately 0.4 mm achieves an optimal balance between system stability and entrainment efficiency. Increasing the high-pressure hydrogen inlet pressure enhances the instantaneous flow rate but reduces the entrainment ratio. Higher outlet backpressure improves the entrainment ratio but suppresses the jet strength and dynamic response. Elevating the thermal management temperature of the solid-state hydrogen storage unit accelerates the initial hydrogen release rate, but its influence on the later stages is limited. With a solid-to-gas ratio of 1:1, the coupled hydrogen storage scheme reduces the volume by approximately 34.4% and the compression energy consumption by about 41.7% compared to a 20 MPa gaseous hydrogen storage scheme. Compared to the single-mode solid-state storage scheme, thermal management energy consumption of this coupled scheme reduces by nearly 50.0%, demonstrating a significant advantage in energy efficiency synergy. This study provides a theoretical foundation and engineering guidance for the structural optimization and operational strategy development of solid-gas coupled hydrogen storage reactors.

Ammonia-coal co-firing mode for power generation can significantly reduce the carbon emission level of the unit. But when the ammonia blending ratio is too high, the ammonia blending/pure ammonia burner is not properly arranged, and the ammonia-coal co-combustion effect is not good, the escaped ammonia will react with SO₂/SO₃ at low temperature, increasing the risk of corrosion and fouling on low temperature heating surfaces. To solve this problem, 168-hours continuous corrosion experiments of No.20 and ND steel specimens in an oxidizing atmosphere of NH₃-SO₂-O₂-CO₂-H₂O_(g)-N₂ at 250 ℃ and 150 ℃ were carried out. The effects of temperature, NH₃ volume fraction and fly ash coating on the corrosion rate of metal specimens were mainly investigated, and the corroded metal specimens and ash samples were analyzed in terms of micro-morphology and mineral phase. The experimental results showed that the average corrosion rate of ND steel specimens decreased by 58% when the volume fraction of ammonia was increased from 0.002 5% to 0.005 0%. The corrosion rate of No.20 steel coated with fly ash was significantly accelerated in the atmosphere of NH₃ with volume fraction of 0.005%, and the average corrosion rate reached 0.003 6 mg/(cm²·h). Elevating temperature significantly accelerated the corrosion rate. ND steel coated with fly ash showed the fastest average corrosion rate at 250 ℃ (0.011 2 mg/(cm²·h)). At 250 ℃, CaSO₃ was newly generated and it was detected in the ND steel-coated ash samples, which may have promoted adhesion among ash particles. After the corrosion of No.20 steel coated with fly ash at 150 ℃, the ash sample had a serious agglomeration effect, which is mainly due to the newly generated NH₄HSO₄ and (NH₄)₂SO₃ promoting the agglomeration effect among ash particles. In the future, when a large proportion of ammonia is mixed with coal-fired units, especially when medium and high sulfur coal is used, special attention should be paid to the change of fly ash characteristics and the risk of fouling and corrosion on low temperature heating surfaces.

In-factory testing of chloride ions in urea for urea-to-ammonia hydrolysis systems in power plants is a crucial task, and how to quickly and accurately detect chloride ions content remains an urgent problem to be solved. This study has proposed a new method for determining the mass concentration of chlorides in urea using silver chloride spectrophotometry. This method is simple and fast, capable of detecting the chloride content in a set of urea samples in about 20 minutes, with a detection range of 0.07 mg/L to 2.00 mg/L and a detection limit of 0.02 mg/L. Eighteen repeated tests were conducted on a 10% urea solution with a chloride ion mass concentration of approximately 0.05 mg/L. The results indicated a relative standard deviation of 8.30%. The recovery rate of spiked tests in the 10% urea solution ranged from 86% to 110%. Both the accuracy and sensitivity of this method meet the quality requirements for urea used in the urea-to-ammonia hydrolysis systems in thermal power plants, making it a suitable method for determining chlorides in urea.