Application Of New Energy Research Articles

Research on the Application of New Energy and Low-carbon Technologies in the Repair of Concrete Surface Defects

Photovoltaic heating is a new energy technology, which plays an obvious role in concrete curing, which can shorten the curing time of concrete. However, the role of this technology in concrete surface repair is not clear. In order to expand the application scope of low-carbon energy, this paper takes concrete surface repair as the research object and conducts photovoltaic heating analysis. Firstly, the data of concrete surface depression were collected, and then the repair effect of photovoltaic heating technology on the concrete surface was analyzed with C30 # as the research object, such as compressive strength, curing time, complex spacing, repair cost and energy consumption. and analyze the range of variation of each indicator; The results show that the photovoltaic heating technology can shorten the curing time by 20% and improve the compressive strength to 50kg/m2 with a complex spacing of less than 20 microns. At the same time, the repair cost and energy consumption are reduced, and the reduction range is 15~18%. Therefore, new energy and low-carbon technologies such as photovoltaic heating can effectively repair concrete surface defects, build on the cost and energy consumption of repair, improve the repair time, and meet the overall requirements of concrete construction.

The Impact of Wall Structure with Photovoltaic Function on Prefabricated Buildings

The wall structure is the main load-bearing component of the prefabricated building, which plays an important role in the stability and aesthetics of the building. With the deepening of the application of new energy in the construction field, the application of photovoltaic wall with photovoltaic function is becoming more and more extensive. However, there is still controversy about whether the photovoltaic function can meet the requirements of the building. On this basis, this paper discusses the wall structure with photovoltaic function in depth, and analyzes its energy consumption, heat preservation, ventilation and cost indicators. The results show that the wall structure of photovoltaic function can improve the aesthetics of prefabricated buildings, meet customer demand rate of more than 75%, save energy consumption by 25%~30%, increase indoor temperature by 1~3 degrees, and ventilate at 1.2 levels. It can be inferred that the load-bearing wall of photovoltaic function is suitable for prefabricated buildings and has the potential and role of vigorous development.

Two Cascade Control Strategy of Generalized Electric Spring

With the gradually increase of the application of new energy in microgrids, Electric Spring (ES), as a new type of distributed compensation power electronic device has been widely studied. The Generalized Electric Spring (G-ES) is an improved topology, and the space limitation problem in the traditional topology is solved. Because of the mode of G-ES use in the power grid, a reasonable solution to the voltage loss of the critical section feeder is needed. In this paper, the voltage balance equation based on the feedforward compensation coefficient is established, and a two cascade control strategy based on the equation is studied. The first stage of the two cascade control strategy is to use communication means to realize the allocation of feedforward compensation coefficients, and the second stage is to use the coefficients to realize feedforward fixed angle control. Simulation analysis shows that the proposed control strategy does not affect the control accuracy of the critical load (CL), and effectively improves the operational range of the G-ES.

Gamma radiation shielding simulation for thermoplastic elastomer and silicon rubber/alloy dopant with functional nanoparticle

With the global energy crisis worsening, the research and application of new energy have become a strategic objective for the major countries’ long-term development in the twenty-first century. Nuclear energy technology development and application have become central to new energy development. Numerous types of high-energy radiation (such as X-rays, gamma rays, and neutron rays) produced by nuclear materials not only impose stricter requirements on the radiation-resistant materials used in the reactor but also risk causing significant environmental pollution (nuclear pollution) and serious harm to human life and health if a leak does not form. As a result, the prudent control and protection of nuclear radiation have become critical issues in the development of nuclear energy. With the rapid development of nuclear power today, it is necessary to seek new nuclear radiation protection materials, particularly those with high energy, penetrating ability, and other neutron-protective material characteristics. This is a new type of nuclear power design and construction of critical materials. In this study, WinXCom software is used to simulate the shielding properties of the used functional shielding element, compounds of metal oxide, and the mixture of RTV and TPE with the functional nanoparticle and observe the K-edge absorption of the material used. Based on the simulation, the shielding performance of the selected element of Sm was observed to have the smallest weak gap absorption zone of 40-47 MeV in common medical radiation of 30-150 KeV. Different sets of combinations of shielding material were simulated and found that the combination of WO3 with Sm2O3 gave the most pronounced radiation shielding performance with two strong absorption peaks at 46.8 KeV and 69.5 KeV. RTV composite (Sm2O3+RTV+ WO3) with WO3 as matrix gave the best shielding performance and was used as a reference for the manufacture of the new type of shielding materials.

The impact of energy consumption structure transformation on firms' total factor productivity: evidence from China.

New energy strategies are crucial to address energy and environmental issues, but the energy consumption transition may also affect firm behavior with unintended economic consequences. Using data from A-share listed companies from 2010 to 2019, this paper investigates the impact of energy consumption structure transformation on firms' total factor productivity (TFP) using China's new energy demonstration city (NEDC) policy as a shock. It is found that the NEDC reduces firms' TFP by about 6.4%. This conclusion still holds after a series of robustness and endogeneity tests. According to the channel analysis, NEDC reduces the efficiency of firms' resource allocation and innovation, resulting in efficiency losses. Furthermore, differences in firms' ownership and geographical location make the impact of NEDC on TFP heterogeneous. For example, the hindering effect of NEDC on TFP is more pronounced in private firms and firms in regions with lower marketization. This paper shows that the promotion and application of new energy may have certain economic costs. To better balance the benefits and costs of new energy strategies, the government and other relevant departments should increase policy flexibility and perfection.

Research on the application of new energy in vehicle engineering in china

Since the 21st century, the global car ownership has shown a trend of rapid growth. At the same time, the environmental pollution brought by it is also deeply affecting the people of the world. In addition, the shortage of fossil energy makes the fragile ecology worse. At present, ecological issues have become a global hotspot, and people's voice for environmental pollution control is also growing. In this context, energy saving, emission reduction, and environmental-friendly new energy vehicles have also become one of the current development directions. This paper focuses on introducing new energy vehicles and focuses on the application of new energy in vehicle engineering, so as to push energy conservation and emission reduction and environmental governance to a new height. This paper adopts the methodology of analysis of documents. This paper finds that new energy vehicles are one of the development directions of the automobile industry in the future. Researchers in this field should vigorously develop the infrastructure construction of new energy, constantly break through technological bottlenecks, and promote the widespread use of new energy in society and the market.

Analysis of the Development Path of New Energy Vehicles Based on Technical Barriers to Trade -- Taking BYD as an Example

With the development of globalization, trade between countries is becoming more and more frequent. However, with the progress of society, the improvement of people's living standards in developed countries, and the enhancement of environmental awareness in various countries, people have more and more requirements for products. Therefore, the exploration and application of new energy are key topics today. The researchers found that the emerging new energy vehicle industry is in a stage of rapid development. However, the technical barriers to trade faced by new energy vehicles and their exports still lack a unified explanation. Therefore, this paper conducts a SWOT analysis of BYD by collecting its development status, business status, and competitors. In the context of globalization, BYD explores its development path in the face of technical barriers to trade. It is found that at this stage, BYD has alleviated the impact of technical barriers to trade by developing new energy technologies to a certain extent, but BYD still faces financial problems caused by the reduction of national financial support, and the after-sales service of new energy vehicles such as charging and insurance is not perfect. And put forward reasonable countermeasures and suggestions for the above problems.

Optimization of energy storage assisted peak regulation parameters based on PSS/E

The development and utilization of new energy is one of the biggest issues facing mankind. With the rapid development of new energy, its proportion in the power system is getting higher and higher, which will inevitably lead to the increase of the peak–valley difference of the power grid, resulting in a series of stability problems. The connection of energy storage devices to the power grid can not only effectively utilize the power equipment, reduce the power supply cost, but also promote the application of new energy, improve the stability of the system operation, reduce the peak–valley difference of the power grid, and play an important role in the power system. In this paper, the simulation is carried out in PSS/E, and the excitation model and energy storage model are established based on the user-defined function of PSS/E. The particle swarm optimization algorithm is used to optimize the parameters of the excitation system and the energy storage control system, and the performance difference of peak regulation before and after adding the energy storage model and parameter optimization is simulated and compared. Through simulation, the correctness of the user-defined model of excitation and energy storage and the feasibility and superiority of energy storage participating in peak regulation are verified.

Guagnzhou Transport Sector Carbon Emission Roadmap Study

According to the relevant requirements of achieving carbon peak in 2030,different policy scenarios are set to simulate the future energy consumption demand and CO2 Emission Trend of Guangzhou's transportation field under different scenarios, and analyze the direction and path of low-carbon development in Guangzhou.The results show that in order to achieve carbon peak by 2030, it is necessary to establish a long-term mechanism of green development: first, deepen the adjustment of transport structure;Second, guide social green and low-carbon travel; Third, continuously promote the application of new energy; Fourth, build green transportation infrastructure; Fifth, improve the green traffic supervision system.

Comprehensive analysis and evaluation of ship energy efficiency practices

The IMO is working to reduce emissions from ships. One of its initiatives is the Ship Energy Efficiency Management Program (SEEMP), which is based on the Plan, Do, Check and Act (PDCA) cycle. In order to clearly describe the weight of energy efficiency improvement methods in practice, current energy efficiency practices were summarised systematically from five aspects, including optimising navigational management and operation, improving power system efficiency, reducing ship resistance, improving company management as well as the application of new energy and new technologies. Based on the Fuzzy- Analytic hierarchy process (AHP) method, a multi-level evaluation system was established by considering the importance degree of these practices. Comprehensive evaluation was carried out in accordance with the results obtained from the questionnaire survey of experienced experts in China. The evaluation results show that the management innovation has higher influence than technological alteration in achieving the energy conservation and emissions reduction of ships, and the speed optimisation is recognised as the most effective approach onboard at present. The multi-attribute decision-making architecture and comprehensive evaluation method proposed is much needed by the ship managers and crew members to determine the best practice of energy efficiency.

A 10 kV/1 MW High-Frequency-Isolated Power Conversion System for Battery Energy

Energy storage technology has become critical for supporting China’s large-scale access to renewable energy. As the interface between the battery energy storage system (BESS) and power grid, the stability of the PCS (power conversion system) plays an essential role. Here, we present a topology of a 10 kV high-voltage energy storage PCS without a power frequency transformer for the establishment of a large-scale energy storage system. We analyzed the energy storage converter’s mechanism and characteristics and also introduced the power-control strategy of the HVAC (high-voltage AC) and LVDC (low-voltage DC) converter module. On this basis, a 10 kV/1 MW high-capacity PCS prototype was designed. Additionally, by simulation and experiment, we proved the correctness of the PCS scheme. The topology and control strategy proposed in this paper can provide cases and technical support for the subsequent promotion and application of new energy and power station energy storage.

Investment Strategy of Reactive Power Compensation Scheme in Wind Turbine Distribution Network Based on Optimal Allocation

The development and application of new energy have been paid more and more attention by governments of various countries since the 21st century. It is of practical engineering significance to study reactive power compensation of wind turbine distribution network. In view of the problems of poor grid quality and increased active power loss caused by a large amount of reactive power transmission during the operation of wind farms, based on the improved genetic algorithm, aiming at the minimum compensation capacity and the minimum voltage deviation of load nodes, a multiobjective optimization scheme of reactive power in wind farms is proposed, and an example is analyzed in Matlab. The results verify the effectiveness of the improved genetic algorithm in reactive power optimization of wind motor.

A wave foil with passive angle of attack adjustment for wave energy extraction for ships

The application of new energy to augment a ship's propulsion is an effective way to achieve energy saving and emission reduction in ships. Wave foil is a promising device that can extract energy from sea waves to augment a ship's propulsion and reduce the ship's pitch motion in rough seas. This paper proposes a wave foil with a passive angle of attack adjustment, where the changes in angle of attack can promote the extraction of energy from the waves. As the wave foil moves up and down in the water, the angle of attack changes passively in response to the pitching of the ship. Spring damping is used to constrain the change in the angle of attack and in this way, the foil generates the propulsive force for the ships. The model of heave and pitch motion with the wave foil is derived and the simulation is carried out. The analysis shows that the proposed wave foil can extract wave energy to propel the ship and reduce the pitching motion of the ship.

Research on output power quality control technology of three-phase inverter

With the wide application of new energy and distributed generation system, high-performance inverter plays an important role as the key link of power system access. Its performance determines the quality of output power. Therefore, the output power quality control technology of three-phase inverter has become one of the important research directions in this field. This paper introduces the current main inverter power quality control methods, summarizes and compares the advantages and disadvantages of a single control method, and points out that the composite control method is the development trend of inverter output power quality control technology.

Thoughts on the Application of New Energy Photovoltaic Power Generation Technology

Thoughts on the Application of New Energy Photovoltaic Power Generation Technology

A Fast and Simple Fault Diagnosis Method for Interleaved DC-DC Converters Based on Output Voltage Analysis

Interleaved DC-DC converters have been widely used in power conversion due to their high efficiency and reliability. In the application of new energy, this plays an increasingly important role in the grid-connected power generation of wind, solar, and tidal energy. Therefore, it is crucial to ensure the reliability and proper operation of interleaved DC-DC converters. We studied an open circuit fault (OCF) diagnosis method for a three-phase interleaved buck converter. We propose a non-invasive diagnosis method based on the output voltage using the harmonic amplitude and phase at the switching frequency as the diagnostic criteria. Evaluation was carried out on a hardware-in-the-loop (HIL) test platform to prove the validity of the proposed method. The results show that the presented method had high accuracy and robustness against OCFs, which could otherwise damage the system.

Application of photovoltaic power generation in rail transit power supply system under the background of energy low carbon transformation

Low carbon economy, energy conservation and environmental protection is one of the important tasks of current and future economic and social development. The large-scale development and utilization of all kinds of clean energy has accelerated the speed of China’s energy transformation. Rail transit system is a large power consumer. In recent years, the transportation system has been facing the triangle contradiction of new energy, cost and environmental protection. Connecting photovoltaic power generation to rail transit power supply system has many advantages: (1) it can reduce the operation cost of transportation system; (2) it can reduce the use of traditional thermal power; (3) it can reduce carbon emissions and protect the environment; (4) it can also promote the application of new energy. It makes a lot of sense. However, due to the randomness and uncertainty of photovoltaic power generation, the direct access of photovoltaic power generation to rail transit power supply system will bring a certain impact on rail transit power supply system. In this paper, the LSTM neural network is used to predict the load of photovoltaic power generation, which effectively ensures the accuracy of prediction, and then improves the stability of photovoltaic power generation when connected to the rail transit power supply system.

Analysisand research on the heat load forecasting of solar central heating

With the decrease of traditional energy reserves and the improvement of environmental protection requirements, people pay more and more attention to the efficient and clean application of new energy[1]. In this paper, through the analysis of the historical data of a heat exchange station in a small district in Lanzhou, two prediction algorithmsof BP neural network and SVM support vector product are used to predict the heat load. The two predictionalgorithmsareusedtopredicttheheatload, and the optimal prediction algorithm is found out based on the analysis results. On this basis, the optimal prediction algorithm is used to make long-term and short-term prediction of heat load. Accurate prediction of solar energy central heating system can provide reference for the operation of solar thermal storage system, make great use of the utilization rate of solar energy in the heating system, reduce the waste of clean energy in the solar central heating system, reduce the use cycle of traditional energy and reduce carbon emissions. At the same time, forecasting the heating load in advance can reduce the waste caused by the lag of hot water, reduce the energy consumption of the heating system, and enable the thermal company to provide heat according to the needs of users, reduce costs and improve customer satisfaction.

The application of building energy management system based on IoT technology in smart city

To introduce new energy management (EM) systems that apply solar energy, geothermal energy, and wind energy to intelligent building (IB), so as to reduce the energy consumption of traditional buildings, and integrate it into the building equipment management system (EMS) to make the application of new energy more transparent and rationalized. The research results show that according to the three characteristics of Internet of Things (IoT)—“Sensor, Internet, Intelligent”, the problem of data connection between IB EMS and IoT is solved. Then, through the user’s demand analysis of application services, it is determined the service content that the system can provide for the user. It can be concluded that the application development environment of the IoT data application platform is used to design and develop a new energy application management system based on the IoT, which lays a theoretical foundation for realizing the large-scale EM of “smart city”.

Research on energy saving and emission reduction of urban transportation under the concept of low-carbon life

In response to the national concept of green and low carbon, the carbon emission analysis and peak prediction of transportation in 20 cities were carried out by using the carbon emission calculation model based on residents’ travel, and the quantitative effects of various improvement measures were evaluated. The results show that the urban transport structure and residents' travel distance are positively correlated with the urban carbon emission intensity, and the urban transport carbon emission in China will reach the peak around 2023. Accelerating the application of new energy, optimizing the urban transport structure, building a green transport system, and optimizing the urban transport line network all have good emission reduction effects.