In order to improve the efficiency of the proton exchange membrane fuel cell system, the existing Nernst electromotive force model was improved according to the actual stack performance and the working principle of PEMFC. By combining mechanism modeling and identification modeling methods, a new PEMFC system model with higher efficiency and better stability was established. The model was simulated, verified and analyzed based on Matlab platform. The results show that the new PEMFC system model can visually reflect the changing trends of the stack output voltage, output power, and battery efficiency affected by parameters such as temperature, hydrogen-oxygen ratio, and pressure difference. Compared with the traditional PEMFC system model, it has significant improvements in battery efficiency, endurance, and stability.

The research progress of solid-state hydrogen storage technology is reviewed, including hydrogen storage materials, hydrogen storage devices and application status. Some hydrogen storage alloys have been successfully used in solid-state hydrogen storage devices. The high-capacity reversible hydrogen storage materials under mild hydrogen absorption and desorption conditions is the focus of current research and development. The optimized design of the hydrogen storage device effectively improves the rapid heat transfer characteristics and the safety performance. Hydrogen storage devices have been applied in the fields of distributed energy supply and motor vehicles. However, it is still necessary to further realize the coordination of rapid response, safety, reliability, and high hydrogen storage density of the hydrogen storage system.

Accurate and reliable anomaly detection is of great significance to ensure the safe and efficient operation of wind turbines. However, due to the complex structure and variable operation conditions of wind turbines, the measure SCADA data usually present complex nonlinear and strongly correlated and coupling characteristics. To better capture spatial correlations among different sensor variables, a new wind turbine anomaly detection approach based on dilated causal convolution network is proposed. Specifically, Focal Loss is introduced to improve the traditional loss function to address the data imbalance issue. The proposed approach can extract effective multiscale spatially correlated features with different receptive field sizes and effectively model the hidden spatial causality among different sensor variables. Furthermore, it can provide an end-to-end anomaly detection solution for wind turbines, which can directly learn useful spatial features from raw SCADA data and build the nonlinear mapping relationship between original data space and condition label space, thus finally outputting the corresponding detection results. A real case study with SCADA data from a wind farm is used to verify the feasibility and effectiveness of the proposed approach.

Based on the performance differences and advantages and disadvantages of four kinds of water electrolysis hydrogen production technologies, the research status of membrane electrode, porous transport layer and bipolar plate in PEM electrolytic cell is summarized and prospected. Finally, combining with the advantages of PEM electrolytic water hydrogen production technology, the cost trend of this technology is analyzed and the application scenarios and development direction of this technology are predicted.

The research focuses on the analysis of a semi-submersible floating offshore wind turbine based on the frequency-domain simulation tool. The approaches of support vector machine based surrogate model and the variance-based Sobol sensitivity analysis are utilised to investigate the quantitative correlation between the dimensions of the components and the performance of the floater. Meanwhile, to examine the effects of sampling range and interval on the accuracy of the surrogate model, two groups of samples obtained by the different sampling approach are used to train the models and the results are compared. It is found that the sampling approach has less effects on the accuracy of the model, as both the models show high accuracy in the prediction of the platform performance and yielding similar sensitivity analysis results. Sensitivity analysis results indicate that the steel weight of the floating platform is relatively sensitive to the column diameter, span and draft, with their total sensitivities being 0.56, 0.21 and 0.14 respectively. The platform pitch response shows higher sensitivity to column diameter and draft than other parameters, while the sensitivity index for platform surge response can be various for different environmental conditions. During the scaling design process of floating foundations, the optimization direction can be determined based on the sensitivity of different parameters, thereby achieving the design goals more efficiently.

This study presents a simple approach for fabricating polydimethylsiloxane （PDMS） films featuring textured surfaces. And the textured surface was chemically modified and optimized, which makes it with ideal spectral selectivity and a superhydrophobic surface. Testing results show that the superhydrophobic PDMS （SH-PDMS） film displays an average emissivity of approximately 97.0% within the "atmospheric window" band （8-13 μm）, along with an average solar transmittance of up to 94.8% in the range of 300-1100 nm. Consequently, the SH-PDMS film holds potential as an effective radiative cooling layer for photovoltaic （PV） panels. Application of this film to commercial photovoltaic panels demonstrates superhydrophobicity and self-cleaning properties on the panel surface. Furthermore, outdoor daytime testing results indicate a temperature reduction of 1.0-1.5 ℃ for PV panels featuring the SH-PDMS film compared to those with original glass surfaces. Additionally, the PV panels with SH-PDMS film exhibits reduced light reflection and improves photoelectric output relative to smooth photovoltaic surfaces.

A novel modular floating structure combined artificialreef and wave energy converter （WEC） is proposed, so as to make comprehensive use of marine space, biological resources and renewable energy. Considering the multi-body coupling effect and mechanical coupling effect between the hexagonal floating structure and the floating artificial reef, the coupling time-domain analysis model of the integrated structure system is established based on potential theory. The design parameters of the floating artificial reef and the WEC are preliminary optimized. The dynamic response characteristics and the power output characteristics of the new integrated structure system under typical sea conditions are studied. It is revealed that the outside floating artificial reef can produce considerable energy while reducing the influence of wave load on the inside hexagonal floating structure. In addition, the safety of the integrated structure system under extreme sea conditions is further verified.