With the development of concentrated solar power generation technology and the need for heat recovery from industrial exhaust gases and high-temperature flue gases, high-temperature molten salt power generation technology plays an increasingly important role. In some cases, due to the process needs, it is necessary to mix the low-temperature molten salt with the high-temperature molten salt to reach the desired temperature. In this paper, Ansys Fluent software was used to study the flow, heat transfer and thermodynamic characteristics of the mixing process in the high temperature molten salt mixing tank, and the influence of different structures on the mixing performance was also analyzed. According to the results, it is obtained that the air inside the tank is heated by the molten salt during the salt charging process of the mixing tank, resulting in a certain amount of heat loss, which makes the actual mixing time longer than the theoretical calculation time. In the salt charging process, the baffle structure prevents part of the heat exchange between the molten salt and the air, which reduces the heat loss, and the baffle is more conducive to shorten the mixing time without opening holes. Besides, for elbow counter-current inlet type, the cold and hot molten salt fully contact when they were out from the inlet, which show better mixing result than the manifold inlet structure.

This study establishes a three-dimensional stress-induced hydrogen diffusion model by using finite element analysis and simulates the plastic strain at the defects and its influence on the diffusion and aggregation behaviour of hydrogen atoms under large deformation conditions by using the nonlinear hardening function. The results show that the plastic strain significantly increases the local stress, the equivalent plastic strain, and the hydrogen concentration in the corrosion defect region. Plastic strain increases the overall von Mises stress in the specimen, while the significant increase in hydrostatic stress and equivalent plastic strain is mainly concentrated in the central region of the corrosion defect. In the absence of plastic strain, the diffusion of hydrogen atoms is mainly driven by the concentration gradient, and the flow direction is from the region of high concentration to the region of low concentration, which ultimately leads to a steady state of hydrogen atom concentration inside the specimen. However, when plastic strain exists, the diffusion behaviour of hydrogen atoms is driven by the hydrostatic stress gradient, which is manifested by the aggregation of hydrogen atoms towards the stress concentration region （i.e., at the corrosion defect）. In addition, narrow and deep corrosion defects are more likely to lead to local accumulation of hydrogen atoms, while the shape of the defect has relatively little effect on the distribution of hydrogen concentration.

The new power system in agricultural parks faced the problems of poor system operation stability and low comprehensive economic efficiency due to power fluctuation on the generation side and diverse and uncertain load demand on the consumption side. For this reason, this paper constructed a model of optimized allocation of energy storage capacity based on load division, aiming to improve the stability and economic efficiency of the system. Firstly, a two-stage energy storage allocation tactic was determined in accordance with load segmentation. In this regard, the conventional load demand was preferentially supplemented by photovoltaic power, and the root-mean-square （RMS） envelope technique was harnessed to quell the unsteady power oscillations. Secondly, for the agricultural load demand, the net present value （NPV） was constructed as the optimization objective function. This was then conjoined with the time-of-use tariff strategy to impel the energy storage capacity to perform peak shaving, valley filling, and consumption compensation. Finally, by leveraging the summer and winter data of an agricultural park and deploying the particle swarm optimization algorithm, the outcomes of the two-stage allocation were attained. Namely, the overall power oscillations of the summer and winter loads are abated by around 32% and 27% respectively. The peak-to-valley ratios of the loads are lessened by 13.1% and 14.4% respectively. Moreover, the comprehensive economic return of energy storage is enhanced by 21% when compared with the direct allocation method. The exemplifications corroborated that the methodology proposed in this paper could efficaciously attenuate the microgrid power fluctuation quandary and augment the comprehensive economic benefits engendered by energy storage allocation.

This paper investigates the integral lifting and launching technology for a new type of offshore floating photovoltaic （FPV） modular support structure. Based on the finite element software ANSYS, numerical simulations of the entire lifting and launching process of the support structure into the water were conducted. Through comparative analysis, an optimized selection scheme for the bottom components of the modular support structure was determined. The construction processes of two-point lifting, three-point lifting, and four-point lifting were analyzed and compared to identify the optimal lifting point arrangement for the modular support structure. The influence of errors, such as the position of lifting lugs and the length of lifting cables, on the internal forces and deformations during the lifting process of the modular support structure was emphatically analyzed, and corresponding error control indices were proposed. The analysis results indicate that the four-point lifting condition with lifting points at the trisection points of the long sides is optimal. When the position error of the lifting lugs exceeds 10 mm, the uneven difference in the internal forces of the lifting cables exceeds 57%, suggesting that the position error of the lifting lugs should be controlled within ±5 mm. When the length error of the lifting cables exceeds 67.5 mm, the overall structural deformation reaches 77 mm, and the vertical deformation difference of the structure exceeds 35 mm, recommending that the length error of the lifting cables be controlled within 67.5 mm.

To enhance the accuracy and stability of photovoltaic power forecasting under typical weather conditions, this paper proposes a forecasting model that integrates an improved spectral clustering method optimized by the NSGAⅡ multi-objective algorithm with a BiLSTM network enhanced by a multi-head attention mechanism （MHA）. Firstly, outlier detection and preprocessing are performed on meteorological and historical PV data, and key influencing features are identified. Then, the construction of the degree matrix in spectral clustering is improved using dynamic time warping （DTW）, and NSGAⅡ is employed to optimize the sparsity of the similarity matrix and the Gaussian kernel parameter, yielding an optimal clustering model that categorizes weather into sunny, cloudy, and rainy types. Finally, optimal NSGAⅡ-BiLSTM-MHA models are established for each weather type and compared with four baseline models. Results show that, under three weather conditions, the proposed model achieves 50.74%-62.95% lower RMSE and 55.85%-60.09% lower SDEX than that of SVR, while improving the R² by 8.99%-17.07%.

In this paper, a two-dimensional model of horizontal pipeline with built-in electric heat tracing device is established to simulate the position, shape and temperature field distribution of solid-liquid interface of mixed molten salt nanofluid during the melting process, and to analyze the influence of different Ste and the size of the electric heat tracing device on the whole molten salt melting process. The results indicate that, as the heating duration increases, the distance between the electric heating system and the phase interface increases, and the transfer of heat to the molten salt in the solid phase gradually slows down due to the increase in thermal resistance. and the molten salt nanofluid is completely melted when the heating time lasts for 3082 s. The temperature of the solid-liquid interface is reduced by the influence of the thermal resistance of the electric trace heating device. When Ste increases from 0.392 to 0.706 and 1.021, the complete melting time of the molten salt nanofluid is reduced by 66% and 81%, respectively; compared with the 5 mm diameter electric trace heating device, the melting efficiency of the molten salt of the electric trace heating device with diameters of 10 mm and 20 mm is increased by 68% and 82%, and the time of complete melting of the molten salt is 1100 s and 623 s, respectively.

This paper proposes a variable universe fuzzy adaptive control method that considers both the output characteristics of distributed PV and time-domain frequency features, enabling active provision of system frequency deviation suppression and inertial support. The proposed method incorporates multidimensional fuzzy rules encompassing illumination variation, system frequency deviation, and its rate of change. By adaptively adjusting power output, it enhances system frequency response characteristics. Simulation results demonstrate that this approach effectively improves both transient and steady-state frequency performance in power systems with ultra-high PV penetration, thereby strengthening grid security and stability.

In order to address the problem of high slagging rate of corn straw combustion, mixing oil pine with less slagging feature and corn straw to produce the mixture combustion, using thermogravimetric analysis, SEM scanning and energy spectrometry, the effect of oil pine on the combustion characteristics of corn straw and slagging characteristics is studied. The results show that: there is a certain interaction during the combustion process of the oil pine-corn straw mixed fuel. As the temperature rises, it changes from inhibitory effect to synergistic effect, and then from strong synergistic effect to weak synergistic effect. When the mixing ratio of corn straw and oil pine is 4:6, the overall combustion characteristics are the best, the combustion temperature increases to 475.6 ℃, the stable combustion index increases to 8.9379×10^-6 mg/（K²·min） and the combined combustion characteristics index increases to 0.0929×10^-8 mg²/（K³·min²）, and the slagging rate decreases from 56.25% to 9.87% with the blower strength of 0.1 m/s, the slagging rate decreases by 82.45%, and the content of Si and Na, K alkali metal elements in the ash decreases from 46.42% to 29.93%. The addition of oil pine can significantly enhance the combustion characteristics of corn straw and effectively reduce the slagging rate.

Conventional infrared reflective layers often struggle with thermal instability at high temperatures or insufficient infrared reflectivity, limiting their practical applications. In this study, we employed a microalloying approach to enhance film performance by incorporating tantalum （Ta） into silver （Ag） films via magnetron sputtering. The reflective spectra, crystal structure, and surface morphology of the films were systematically analyzed. The results indicate that Ta doping effectively inhibites the preferred growth of the Ag（111） crystal plane. Furthermore, high-vacuum thermal stability tests at 600 ℃ confirm that the AgTa infrared reflective coatings retain excellent optical and structural stability, even under elevated temperatures.

In this study, a floating photovoltaic platform for deep-sea environments is designed based on the concept of OC4 semi-submersible wind turbine platform, and its hydrodynamic characteristics are thoroughly analyzed by applying the potential flow theory. The study focuses on the performance of the single floating photovoltaic platform under normal and extreme conditions, and investigates the motion response of the platform and the change of mooring performance after the breakage of a single mooring. The results show that under both normal and extreme conditions, the breakage of the mooring cable on the wave-facing side has the most significant effect on the platform motion, while the newly designed mooring system of the offshore floating photovoltaic platform still meets the safety factor standard under the extreme conditions. This study not only ensures the stable operation of the platform under complex sea conditions, but also provides technical reference and guidance for the design and practical application of offshore floating photovoltaic platforms.