Partial heating supercritical carbon dioxide (S-CO₂) power cycle system is proven to be one promising option for waste heat recovery. By using LiBr-H₂O and NH₃-H₂O as working fluids, two types of novel combined power systems consisting of a parting pre-heating S-CO₂ cycle and different absorption power cycle (APC) systems are proposed. The detailed mathematical models of the proposed parting heating S-CO₂/APC systems are built and verified. Based on the results of single- and multi-objective optimization, the performances of the proposed S-CO₂/APC system and the standalone S-CO₂ system are compared from the perspective of thermodynamics and economics. The single-objective optimization study reveals that the net power output and net efficiency of the S-CO₂/LiBr-H₂O system and the S-CO₂/NH₃-H₂O system increases by 7.40% and 4.30%, respectively, compared with the standalone S-CO₂ system. The multi-objective optimization results show that, the S-CO₂/LiBr-H₂O system and S-CO₂/NH₃-H₂O system can obtain improvements of 7.94% and 5.13% in net efficiency as well as promotion of 12.35% and 9.02% in the specific investment cost respectively, indicating that the S-CO₂/LiBr-H₂O system has a greater potential. Exergy loss analysis reveals that the main exergy loss exists in the coolers and the heaters, and the proposed S-CO₂/APC systems can significantly reduce the exergy loss in the S-CO₂ cooler by about 45%.

Equipment failures, weather conditions and other factors can lead to a large amount of abnormal data in distributed photovoltaic (PV) power generation systems, causing serious effects on their safe and stable operation. In order to accurately identify and remove these abnormal data, a distributed PV power generation abnormal data identification method is proposed based on dynamic time warping (DTW) and two-stage quartile. Firstly, continuous abnormal data identification and elimination are achieved by comparing the mean photovoltaic power under similar irradiance. Abnormal data are eliminated based on the comparison of the mean photovoltaic power at the same period, taking into account the fluctuation of the photovoltaic power generation curve. A comprehensive curve similarity judgment method based on DTW and Euclidean distance is used to consider the fluctuation characteristics of the data more comprehensively, thereby improving the recognition and elimination effect of continuous abnormal data. Secondly, the DTW-Two-Stage Quartile abnormal data identification algorithm is proposed, and the first-order change rate and the second-order change rate are used to eliminate discrete abnormal data from the fused data, effectively identifying and eliminating discrete abnormal data. Finally, it is determined whether a fault has occurred based on the results of abnormal data identification and elimination. Experimental results show that, after the proposed algorithm eliminates abnormal data, it can better fit the distribution of normal photovoltaic power data. Compared with the quartile method and the 3-Sigma algorithm, the linear correlation degree of the proposed algorithm before and after the elimination of abnormal data has increased by 58.15% and 68.41% respectively, with better identification results.

The technology of concentrating solar power tower plant with molten salt is currently the predominant photothermal power generation technology globally. The performance of the molten salt receiver, which serves as the core device for converting solar energy into heat, directly influences the system’s power generation efficiency. Additionally, the safety of the receiver affects the operational hours of the power plant. Consequently, it is crucial to develop a heat transfer model for the molten salt receiver and ascertain its precise heat transfer characteristics. This paper systematically organizes the heat transfer calculation model for the mainstream external cylindrical molten salt receiver, delineating the calculation process and fundamental methods for input radiant energy, radiant heat loss, convective heat loss, and molten salt heat gain within the heat transfer model. Based on the refinement level of the calculation outcomes, the heat transfer model of the receiver is bifurcated into a detailed model and a simplified model. While the detailed model boasts high calculation accuracy, offering a comprehensive representation of the actual energy conversion process, it is computationally expensive and requires extended transient process calculations. Conversely, its specific working condition calculations serve as a verification reference for the simplified model’s results. The simplified model entails a judicious simplification of the theoretical model that describes the heat transfer characteristics of the molten salt receiver, facilitating faster calculations while maintaining accuracy. It is predominantly employed during the design phase. By comparing and contrasting the characteristics and performance of these models, technical guidance can be offered for selecting appropriate heat transfer models for thermal performance calculation processes in molten salt receivers.

To achieve the carbon peak and neutrality targets, facilitate low-cost disposal of industrial solid wastes (namely semi-coke ash), and develop new green and low-carbon composite materials, carrying out carbon capture using semi-coke ash is proposed, based on the existing semi-coke ash/sodium nitrate composite phase change heat storage materials. The performance of semi-coke ash and composite phase change heat storage materials before and after carbon sequestration is studied. The results indicate that, the optimal conditions for carbon sequestration in semi-coke ash are: gas composition of 20%CO₂/80%N₂, ventilation time of 40 minutes, and heating temperature of 650 ℃. Under the optimal experimental conditions, the carbon sequestration rate of semi-coke ash reaches 29.27%. The optimal mass ratio of the resulting composite phase change heat storage material, namely the carbon-sequestered semi-coke ash to NaNO₃ is 5:5. It achieves a heat storage density of 288.65 J/g at 100~380 ℃, with better mechanical properties, thermal stability, and chemical compatibility. The use of carbon-sequestered semi-coke ash as a skeletal material to prepare composite phase change heat storage materials is highly feasible, providing a new approach for the resource utilization and carbon emission treatment of industrial solid wastes, namely semi-coke ash.

Methane is one of the main components of atmospheric pollutants, which is challenging to be eliminated by catalytic oxidation under mild conditions because of its tetrahedral structure stability. In this work, the acidic sites of Pd-based catalysts are modified by introducing transition metals (Cr, Mo, W) to promote the cleavage of C-H bonds and therefore to enhance the catalytic oxidation performance of methane. The oxygen vacancies, acidity and redox property of prepared catalysts are systematically characterized by XRD, Raman, H₂-TPR and NH₃-TPD techniques. The results show that, the transition metal modification increases the acidic site of Pd catalysts obviously, and the modified PdM catalysts have a higher amount of oxygen vacancies. However, only Mo modified PdMo catalyst exhibits better redox performance, while Cr and W modified PdCr and PdW catalysts show slightly lower redox performance. The results of the methane oxidation reaction confirm that the PdMo catalyst with moderate acidic sites displays excellent performance in the methane oxidation reaction, and its T₉₀ decreases by about 150 ℃, while the PdCr and PdW catalysts with more and less acidic sites show lower methane oxidation activity. The results indicate that the number of acid sites and the redox properties of the catalyst jointly determine the methane oxidation performance. This conclusion provides critical insights for design and preparation of catalysts for complete oxidation of methane at low temperatures.

In order to investigate the effects of oxygen addition amount and type of gasification medium on coal gasification efficiency as well as the optimization of integrated gasification combined cycle (IGCC) power system, a simulation analysis is carried out by baking two kinds of coals with significant differences in oxygen content as the examples. Firstly, based on the equilibrium reaction model, the influence of oxygen carbonation stoichiometric ratios (considering the oxygen content of different coal types) on gasification characteristics for different coal types is compared. Then, the gasification characteristics are analyzed and optimized when CO₂ and steam are added as gasification media respectively. On this basis and considering CO₂ capture, a novel IGCC power cycle system with CO₂-assisted gasification, pure oxygen combustion and partial gas recirculation is proposed and analyzed, and the gas turbine model is simulated and optimized. The results show that, the coal gasification performance is the best when the total oxygen-carbonation stoichiometric ratio is around 0.47. Under this condition, adding CO₂ as the gasification medium can increase the efficiency of cold gas by about 1.3%, compared with that of the conventional way that adding steam as the gasification medium. Compared with the conventional IGCC power system with pre-combustion decarbonization, the net power efficiency of the proposed system increases by about 1.5% and the exergy efficiency increases by 1.7%, which provides a new idea for designing a low-carbon and efficient IGCC power generation system.

Energy saving and emission reduction in road transport field is an important part of the strategy to achieve carbon neutrality. Heavy commercial vehicles have high power and range requirements, and the transition from conventional internal combustion locomotives to hybrids with waste heat recovery is of great significance in improving engine efficiency and reducing energy consumption. However, the waste heat recovery system integrated with hybrid power in current research mostly adopts a simple layout, and only recovers a single form of waste heat energy from the cylinder liner water or flue gas, which has a limited degree of enhancement to the overall efficiency of the vehicle. Therefore, a waste heat recovery system based on the organic Rankine cycle that can simultaneously recover the waste heat from flue gas and cylinder liner water and operate efficiently under full operating conditions is proposed. The system is coupled with a series hybrid power system and operates under high-speed and suburban road conditions, the performance of the organic Rankine cycle system and the improvement effect of the overall energy efficiency of the integrated system are then investigated. The results show that, under the premise of considering the weight of the waste heat recovery system, the waste heat recovery system improves the engine efficiency by 2.85% and reduces the overall fuel consumption by 6.78% under high-speed USHWY conditions. Under urban road UDDS conditions, it enhances the engine efficiency by 2.30% and decreases the overall fuel consumption by 6.43%. The above results demonstrate the system’s fuel-saving capability and application potential. It is found that the organic Rankine cycle system has a large inertia, and the long-term stable operation of the engine plays a decisive role in improving the output power and efficiency of the system, so the system is suitable for matching with high-speed operation of heavy-duty hybrid vehicles.

A multi-energy complementary system integrating solar-hydrogen-gas has been developed for multi-energy complementary cogeneration systems, aimed at meeting users’ demands for cooling, heating, power, and gas. In order to optimize the system performance, a multi-objective optimization evaluation system of the multi-energy complementary cooling, heating and power cogeneration system including economy, environmental protection and hydrogen doping ratio is constructed, and a mixed-integer linear programming model for multi-objective optimal scheduling is established based on this system. With the obtained Pareto frontier solution set, the optimal solution in the solution set is found by using the method of distance to the ideal solution to identify the optimal solution. By changing the blending ratio of hydrogen injected into the natural gas pipeline network, the optimal operating conditions for the devices in the electricity, heat, and cold networks are obtained. The results show that, under the condition of fixed user load, with the hydrogen doping ratio of 14.47%, the system operating cost per day is the lowest (26 794.31 yuan), and the carbon emission is the least (162.03 kg). The results indicate that the proposed scheme is not only economically better, but also has the characteristics of energy saving and emission reduction, and performs the best in comprehensive evaluation, compared with the 2 reference systems. The conversion of renewable energy sources into electricity, followed by the transformation into hydrogen and its incorporation into the natural gas pipeline network according to a specified blending ratio for application in combined cooling, heating, and power generation systems, significantly reduces the use of natural gas. This approach enhances energy utilization efficiency, maximizes the integration of renewable energy sources, and reduces carbon emissions.

The utilization hours of thermal power units continue to decline, and peak shavings become more frequent. Under this background, the existing ammonia injection mixing technology can no longer meet the new normal needs of coal-fired power plants, and ultra-low emissions put forward higher requirements for uniformity of the NH₃/NO_x molar ratio distribution at the SCR reactor inlet. The grid-type ammonia injection grid (AIG) and static mixer are optimized through CFD numerical simulation and physical model test. The design method and an anti-blocking nozzle are proposed to ensure the uniformity of ammonia distribution, adjustment flexibility, and anti-blocking performance of the ammonia injection grid. Moreover, a triangular large-scale flue gas self-mixing device is developed to improve the uniformity of the NO_x concentration field at inlet of the SCR reactor and enhance the load adaptability of the SCR denitrification device from the root. The relative standard deviation of NO_x distribution at the SCR outlet of a 600 MW unit under high, medium and low loads reached 8%~19% by using this technology, and the ammonia escape at full load decreased by 51%.

The vibration mechanism and characteristics of stator housing in nuclear power turbo-generators under different excitation forces are investigated, and an analysis and treatment method for the stator housing vibration fault is proposed. Moreover, analysis and verification is conducted by using three nuclear power turbo-generator units as examples. The results show that, the main cause of excessive stator housing vibration is the structure resonance resulting from the natural frequency of the stator housing being close to the rotating frequency or its double. The structure resonance caused by rotor excitation force can be controlled in two ways: by reducing the excitation force through field dynamic balance, or by adjusting the natural frequency of the stator housing through adjustment of the stator bottom bracing load distribution. Performing on-site dynamic balancing can effectively reduce the rotor excitation force. Adjusting the natural frequency of the stator housing can be realized through load distribution adjustment of the stator feet. However, due to the limited adjustment range of the magnetic pulling force, it is necessary to control the structure resonance caused by magnetic pulling force by adjusting the natural frequency of the stator housing. To prevent structure resonance of the stator housing, it is important to adjust the stator bottom bracing load distribution during installation or maintenance of the turbo-generators to keep the natural frequency of the stator housing away from the rotating frequency and electromagnetic force frequency.