In order to solve the problem of large error in the dayahead scheduling plan of the integrated energy system of industrial energy consuming parks caused by the random characteristics of renewable energy, a multitime scale lowcarbon dispatching strategy of the integrated energy system based on the energy router was proposed based on the control characteristics of the energy router. In the dayahead optimization scheduling stage, considering the lowcarbon and economic performance of the system, the equipment output is optimized with the goal of minimizing the daily operating cost and environmental cost, and in the intraday scheduling stage, considering the problem of energy response time difference and source –load mismatch, an adaptive timescale intraday rolling plan scheduling strategy is proposed, and the intraday rolling plan scheduling cycle is reasonably switched according to the operation status of the system after the dayahead scheduling, so as to realize the repeated correction of the dayahead scheduling plan. The simulation results show that the proposed method can reduce the influence of renewable energy, load and other factors on the optimal operation of the system under different time scales, reduce the carbon emissions of the system, and ensure the lowcarbon and reliable operation of the integrated energy system in the park.

In order to solve a series of security problems such as system frequency and voltage offset caused by power shortage in power system, this paper proposes a multiobjective optimization method for precise load shedding control based on POAGWOCSO algorithm. Firstly, a multiobjective optimization model of precise load shedding control based on load classification is proposed from the aspects of safety and economy of power system, considering the constraints of stable operation of power system and output characteristics of distributed generation. In order to enhance the coordination relationship between global and local search in the traditional pelican optimization algorithm (POA), and to overcome the problems of premature convergence, insufficient optimization range and low accuracy of the optimization algorithm in dealing with complex problems. In this paper, the nonlinear inertia weight factor, the wolf group leader strategy in the grey wolf optimization algorithm (GWO)and the crisscross optimization (CSO) are introduced to update the position of the new individual of the pelican. Finally, based on the empirical analysis of the modified IEEE33 node, the improved POAGWOCSO algorithm proposed in this paper is used to solve the emergency load shedding model, and the system coordinated control of economy and stability is realized.

The energy conversion efficiency of wave energy buoys is determined by their hydrodynamic performance. From design experience, it is known that the hydrodynamic performance of buoys is greatly affected by the draft depth. The article takes wave energy buoys as the research object and conducts a study on the hydrodynamic performance of buoy draft depth. Firstly, introduce the structure and working principle of the buoy; Secondly, establish simulation models of the buoy under five different draft depth conditions, conduct numerical simulation calculations, and obtain the hydrodynamic parameters and energy conversion efficiency of the buoy under design conditions; Finally, physical model experiments were conducted to study the capture width ratio (Rcw) of buoys under six different draft conditions, and compared and analyzed with simulation results. The results show that when the draft depth is 75 mm, the maximum Rcw of the model is 56.8%; the draft depth has a significant impact on the peak distribution of buoy Rcw; under specific aerodynamic damping, the simulation results fit well with the physical model test results, with an error of less than 5%.

To further understand the interaction in copyrolysis of biomass and waste plastics, the pyrolysis characteristics of poplar wood(PW) and the effect of polypropylene (PP) addition on the product distribution and composition of PW and PP co pyrolysis were studied by thermogravimetric analysis and fixed bed reactor. The results showed that 500 °C is the optimal temperature for PW pyrolysis to obtain tar product, and the maximum tar yield is 31.2%. The experimental value of the maximum weight loss rate of copyrolysis is slightly greater than the theoretical value in the low temperature range, and the peak temperature of the DTG curve in the high temperature range shifts to higher temperature zone. Copyrolysis of PW and PP has a positive synergistic effect on the generation of gas products, increasing the low heating value of gas products. Copyrolysis has a negative synergistic effect on the generation of tar. However, the oxygencontaining compounds (phenols, acids, ketones and furans) in tar decrease, and olefin compounds increase significantly. In addition, the degree of graphitization of copyrolytic char becomes higher.

This study proposes a coagulationdissolved air flotation and microwave drying processes based on biologic coagulant for harvesting cyanobacteria biomass, and a pilot system with a treatment capacity of 20 m³/h was developed. Continuous operation in Lake Tai demonstrated that the system achieved a harvesting efficiency of up to 95% for cyanobacterial biomass, with the moisture content of the biomass reduced to below 85% after dehydration. After 10 min of continuous microwave drying, the moisture content of the biomass was further reduced to below 10%, with no adverse effects on the main nutrients, such as proteins and sugars. Further technoeconomic and cost sensitivity analyses revealed that the total cost of harvesting and drying cyanobacterial biomass was 4 134.1 ¥/t dry biomass, with bioflocculant costs accounting for more than 50% of this total. The processing costs were found to be significantly influenced by the dosage and cost of bioflocculants, as well as the hourly microwave drying capacity.

Taking an agricultural single cylinder diesel engine as the research object, the soot emission characteristics of biodiesel blended fuel were tested under the conditions of EGR rates of 0, 15% and 30% , and the influence of EGR rate on the combustion particle structure characteristics of biodiesel blended fuel was explored. The results indicate that biodiesel blended fuel can alleviate the problem of increased soot emissions caused by the introduction of EGR, and the improvement effect is more significant under high EGR rate conditions. The diesel engine exhaust particle size range is mainly between 20 nm and 80 nm, mainly showing normal distribution. Under the same EGR rate conditions, the particle size formed by burning biodiesel blended fuel significantly decreases, and the degree of agglomeration between particles increases, the porosity of particles increases, and the thickness of the interface layer increases. By adopting EGR technology, the average particle size of the particle group increases, the degree of agglomeration increases, the porosity of the particles decreases, and the thickness of the interface layer increases. Mixing biodiesel and introducing EGR can both increase the roughness and irregularity of the formed particles.

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.

In this paper, a fault diagnosis strategy for photovoltaic modules based on IV curve inverse method is proposed. This strategy does not need to monitor the surface irradiance and average temperature of the solar cell in real time. After extracting the model parameters, the IV curve library under different irradiance and solar cell temperature is calculated. The open circuit voltage, short circuit current and maximum power point voltage and current of the photovoltaic module are measured during operation to determine whether the module is faulty. By building experimental equipment to simulate typical faults and using this method to judge, the results show that the method proposed in this paper can effectively monitor the faults of components. Using this method, a singleboard fault monitoring module is developed to realize online fault diagnosis of photovoltaic modules, which improves the accuracy of fault diagnosis of photovoltaic modules and the reliability and economy of photovoltaic power station operation.

In order to improve the efficiency of geothermal energy extraction in the hightemperature zone at the bottom of the well, a jettype coaxial borehole heat exchanger is constructed for horizontal geothermal well extraction. Based on the finite volume method, a threedimensional numerical simulation model of the horizontal section near the bottom of the well is established, and the flow and temperature fields of the Outsidein and insideout type (OI), Insideout type (IO), and Jet inlet (IOI) coaxial borehole heat exchangers are compared and analyzed, so as to reveal the mechanism of the injection heat exchanger to strengthen the heat transfer. The results showed that the use of the IOI type heat exchanger increased the turbulent kinetic energy of the fluid and formed vortices, which improved the efficiency of geothermal heat extraction. By comparing the heat extraction performance, it was found that the Nusselt number increased with the increase of mass flow rate, and the Nusselt number of IOI type was higher than the other two by 18.33%~32.48% and 5.33%~18.84%, and the friction coefficient decreased with the increase of mass flow rate; under the same mass flow rate, the thermal enhancement factor of IOI type heat exchanger was higher than the other two by 9.13%~13.58%, 3.61%~10.24%, and the average extraction temperature and average extended metre heat exchange are always the highest among the three. The results provide a theoretical basis for the efficient extraction of coaxial borehole heat exchanger in horizontal geothermal wells.

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.