The research develops a hybrid photovoltaic/thermallinked system with a heat pump and thermal energy storage in a single building, combining it with the idea of demandside management to solve the issue of excessive building energy consumption. To define its operational performance, a dynamic simulation model is created. After that, the configuration is optimized for demandside management, and the cost and energy use of various configurations are examined. The findings demonstrate that, as compared to the coupled system without storage, the ratio of feedin tariff to total generation for the heating and cooling seasons is improved by 23.96% and 7.07%, respectively. The demand for power rose sharply at night, rising by a total of 5.07% and 104.50%, and the system is capable of good power load management. The set point for the temperature of the water tank is 43 °C for the heating season and 24 °C for the cooling season, respectively. This configuration uses the least amount of energy overall among all optimized configurations, with a seasonwide energy savings rate of 41.77%, which is 7.10% higher than the rate without the use of management strategies. Approximately 50.9% and 72.7% of the total electricity used during the heating and cooling seasons is used during the storage period. To further lower the energy consumption of systems with control techniques and energysaving benefits, it is useful to research demandside management configuration optimization.

The instability of power generation in photovoltaic power generation system is difficult to avoid, and its instability will cause a great burden on the energy storage system, of which the impact on the service life of the battery is the most serious. Based on extended Kalman Filter (EKF) to achieve supercapacitor state of charge (SOC) estimation, according to the realtime photovoltaic output power and SOC of the supercapacitor, a new controllable topology is controlled to achieve hybrid energy storage of supercapacitor and battery, so as to alleviate the sudden change of battery charging voltage. In MATLAB/Simulink, the simulation model is constructed, the results show that the error of EKF estimating SOC is within 4%, and the fluctuation of the input voltage of the battery is significantly suppressed under the hybrid energy storage strategy, which can effectively reduce the impact of photovoltaic output instability on battery service life.

With the leapfrog development of renewable energy in China, the problem of new energy electric power utilization has become increasingly prominent. This paper, constructs an electric and photovoltaic complementary electric heating system with phasechange thermal energy storage, and a mathematical model of the thermal performance of the system is constructed, which can reflect the dynamic thermal performance of the indoor thermal environment of the system, and the control strategy of the flexible thermoelectric load regulation of the system is designed. A case study was carried out on a lowcarbon building in Beijing, and the load transfer capacity and photovoltaic absorption capacity of the system were simulated and studied. The results show that the system with this rooftop photovoltaic was able to reduce the peak electricity consumption of the case building by 93.9% and the primary energy consumption by 23.9%, with the indoor temperature being maintained at 18 °C. In this study, the peak power consumption can be reduced by 75.1% to 97.4% compared to the system without PV using different PV installed capacity installation methods and areas, and the improvement of the storage capacity has a significant effect on the improvement of the system's flexible load transfer capability, and the improvement effect gradually decreases when the storage battery capacity is larger than 15 kW.h.

In order to investigate the economy of installing largediameter wedge shaped monopiles to support offshore wind turbines in shallow coastal waters. The Coupled EulerianLagrangian (CEL) approach is used to establish the finite element model of monopiles under highfrequency vibration load in ABAQUS, and the pile sinking characteristics of wedgeshaped monopile with the same amount of steel and monopile with the same section are compared and analyzed. By analyzing the four aspects of pile penetration speed, frictional resistance, soil displacement, and soil stress, this paper explores the influence of wedgeshaped structures on monopiles installation. The research results show that the total pile sinking time required for wedgeshaped monopiles in sandy soil is reduced by 38% compared to monopiles with equal crosssection, which has good economic benefits in construction; However, in the later stage of pile sinking, the peak displacement position of the shallow soil moves back, and the peak increment increases. The energy transmitted to the foundation is more intense, and the disturbance to the soil is more intense. The radial disturbance range of the surface increases by 0.01r. The research results not only provide a basis for the design of the cross section type of monopiles for offshore wind turbines in the future, but also provide an important reference for exploring the potential value of large diameter wedgeshaped monopile in offshore wind power projects.

The largescale gridforming wind turbine generators (WTGs) will change the frequency response characteristics of the power system, while the traditional lowfrequency load shedding strategy has not taken into account the impact of gridforming wind power, which may lead to unreasonable system load shedding after high power shortage. This paper proposes a lowfrequency load shedding strategy for power systems that considers the frequency response of gridforming wind power. Firstly, based on the virtual inertia of gridforming wind power and the primary frequency control model, a simplified system frequency response model is established that takes into account the frequency response of gridforming wind power. Secondly, the impact of the active power response characteristics of gridforming wind power on the unbalanced power amount of the system is analyzed, and then the unbalanced power amount used to guide multiple rounds of load shedding in the power grid is finely estimated, thus proposing an adaptive lowfrequency load shedding implementation strategy. Finally, the feasibility and effectiveness of the lowfrequency load shedding strategy proposed in this paper were verified through numerical analysis.

In order to achieve the target of "dual carbon", it is important to develop renewable energy resources. There are many factors that affect the development of renewable energy. The extent to which the view of residents influences this needs further research. Therefore, this study focuses on the cognition, attitude, behaviour, and policy opinions of residents in Liaoning Province on renewable energy resources. According to the population, available arable land area, and calculations of available roof area, questionnaire numbers for each city are designed by Neiman Distribution. The survey is conducted both online and offline. Among the 1 332 questionnaires, more than 20.00% of residents have misconceptions about renewable energy. The proportion of residents willing to promote the development of renewable energy is 63.62%. Residents prefer enterprises to play a greater role, accounting for 65.57%. By conducting principal component analysis and regression analysis, it is found that occupation type significantly impacts residents' renewable energy cognition and behaviour. The knowledge levels concerning China's energy resources and household energy storage systems are observed to be 9.66% and 18.20% higher among corporate residents than noncorporate residents. Enterprise residents display a 10.37% increase in their willingness to actively select green energysaving appliances with slightly higher prices when compared to nonenterprise residents. Additionally, nonstudents exhibit a 10.93% higher inclination than students to pay premium electricity tariffs for renewable energy generation. Residents who support the development of renewable energy resources industries in Liaoning are more likely to accept highpriced green energysaving appliances and support their lowcarbon behaviour with green credits or carbon credits. Based on the above research results, it is proposed that: ① Government departments carry out social activities to enhance residents' awareness of renewable energy in Liaoning Province; ② Financial institutions are encouraged to increase research investment in renewable energy technologies, thereby reducing product prices and increasing residents' participation enthusiasm; ③ The authors design an overall operational framework for renewable energy to promote green point trading and create a batch of demonstration zones with net zero carbon emissions in Liaoning Province.

This article investigates the ability of suction anchor foundations in clay to withstand horizontal and bending moment combined loads, as well as vertical and bending moment combined loads. First, the rationality of the finite element model is verified through numerical simulation tests. Based on the finite element method, a suction anchor foundation model with an aspect ratio of 1 is established. The bearing capacity characteristics of the suction anchor foundation under the combined action of horizontal load, vertical load and torque load are studied. The results show that under the action of torque load, the horizontal and vertical bearing capacity of the suction anchor foundation is significantly reduced. With the decrease of the horizontal load point, the ability of the suction anchor to resist the torque load shows a trend of first increasing and then decreasing. In the case of the combination of horizontalverticaltorque loads, the decline trend of the ultimate bearing capacity of suction anchors increases significantly with the increase of torque loads. As the angle between the load direction and the horizontal plane increases, the bearing capacity of the suction anchor to resist torque loads tends to increase.

The limited availability and supply security issues of traditional energy resources have prompted people to shift towards research on energy interconnection and lowcarbon electricity. Integrated energy systems are gradually becoming a key means to achieve energy coordination and energy conservation and emission reduction. In order to manage carbon emissions and promote the utilization of sustainable energy, this paper proposes a multi regional integrated energy system scheduling model based on the carbon green certificate joint market. Regulatory authorities allocate and adjust carbon emissions, and exchange them through two channels: the carbon trading system and the green certificate market system. This article evaluates the feasibility of introducing a carbon green certificate market mechanism in the Integrated Energy System (IES) and establishes a green certificate joint market framework. This article adopts a combined double auction (CDA) mechanism for bidding to determine the optimal price of green certificates, develops optimization models for heating and natural gas networks, and combines them with the constraints of IES to ensure the stable operation of the system. This article analyzes the impact of changes in carbon trading systems, green certificate market systems, and natural gas prices on system operating costs. The simulation experiment results show that the model can significantly improve the efficiency of the comprehensive energy system and reduce carbon emissions.

A large amount of lowtemperature waste heat generated in the industrial production process dissipates in the atmosphere through flue gas and cooling media. Recovering and utilizing such heat is of a great significance for improving energy efficiency and promoting the achievement of "dual carbon" goals. With a detailed review of cases of utilization of lowtemperature waste heat by existing factories, this paper compares heat exchange schemes and energy conservation effects under different heat source conditions, deriving that lowtemperature waste heat has a wide range of applications from waste heat heating, raw material preheating and antifreezing, waste heat refrigeration to waste heat power generation. It is pointed out that when utilizing lowtemperature waste heat resources, attention should be paid to heat source characteristics and factory needs and utilization approaches adapted to enterprises should be selected. Further, this paper also presents a prospect of the important effect of lowtemperature waste heat in energy conservation and emission reduction.

In order to improve the fuel economy of fuel cell hybrid electric vehicles during short range driving, a vehicle speed prediction model structure VBSnet based on hybrid deep neural network was constructed. This structure not only further improves the convolutional network based on the VGGNet structure, but also introduces a bidirectional long shortterm memory neural network to effectively learn the spatiotemporal dependencies of the entire vehicle speed prediction sequence. Simultaneously considering the influence of prediction time domain and input sequence length on the prediction accuracy of shortrange vehicle speed problems, Bayesian optimization hyperparameters are used to further improve the prediction accuracy of VBSNet. To address the online optimization and computational efficiency issues of energy management strategies, a multiobjective optimization based on model predictive control (MPC) energy management strategy was designed. This strategy can achieve a balance and optimization of hydrogen consumption, lithium battery state of charge (SOC) maintenance, and fuel cell utilization efficiency. Finally, under actual vehicle conditions, the proposed strategy was compared with rulebased strategies, resulting in fuel economy improvements of 7.25%, 9.94% and 19.23%, and better SOC maintenance characteristics.