Utilization Of New Energy Research Articles

Honeycomb shaped carbon dopped 1T-2H-MoS2 heterojunction counter electrode with high short current for dye sensitized solar cells

Recent years have witnessed energy crises in various regions and the utilization of new energy is crucial. Dye-sensitized solar cells (DSSCs) are the third generation of photovoltaic cells that are expected to be more cost-effective than other types of solar cells. In this work, we report the synthesis of 1T-2H-MoS2/honeycomb shaped carbon (HSC) heterojunction composite counter electrodes for DSSCs via adding porous carbon in the facile hydrothermal method. The effects of HSC on the morphology, structure, electrochemical and photoelectric conversion properties of the 1T-2H-MoS2/HSC composites were investigated systematically. Both the results of electrochemical and photoelectric measurement suggest the excellent performance of the reduction of I3- and the regeneration of dye. The whole cell assembled with the MoS2/HSC-5.0 counter electrode achieved a short current density 22.24 mA∙cm−2 and a power conversion efficiency (PCE) of 8.42 %, which is significantly higher than that of the pure MoS2 electrode (5.89 %) and Platinum electrode (6.76 %), implying the MoS2/HSC-5.0 composite is a promising candidate for counter electrodes catalyst of DSSCs.

Investigations on rigid–flexible coupling multibody dynamics of 5 MW wind turbine

AbstractThe flexible system of wind turbines refers to the components such as blades, towers, and rotor shafts that are subjected to external forces such as wind loads, inertial forces, and gravity during operation, resulting in deformation and vibration. This paper proposes that dynamic response analysis of the flexible system, through the response data, put forward improvement measures to improve the stability. The flexible dynamic response of wind turbine was analyzed. The fluid dynamics and structural dynamics of wind turbine are analyzed by the finite element method, and the flow chart is combined to get the wind turbine velocity, pressure, shear stress, and vorticity distribution nephogram. The results provide a reference value for monitoring structural state dynamics parameters of large wind turbines. Wind power generation technology is relatively mature, and its proportion in the field of power generation is gradually increasing. Wind energy is inexhaustible and can occupy a place in the development and utilization of new energy for a long time. This study provides an important reference for determining the dynamic parameters of wind turbine operation and improves the stability and reliability of wind turbine operation. The results provide a reference value for monitoring structural state dynamics parameters of large wind turbines.

Suppression of Negative Sequence Current on HVDC Modular Multilevel Converters in Offshore Wind Power

The High Voltage Direct Current (HVDC) transmission technology employing modular multilevel converters (MMCs) can effectively enhance the transmission efficiency and stability of offshore wind farms, thereby aiding the promotion of large−scale utilization of new energy. This holds significant importance for achieving the dual carbon goals. Aiming at the problem of negative sequence current circulation in MMC−HVDC transmission systems, a circulation suppression strategy based on augmented order decoupling linear active disturbance rejection control (LADRC) is proposed in this paper. By introducing new state variables into the traditional ADRC structure, the actual output deviation signal and observation gain signal from the disturbance observation value of the system are used. It can not only realize the decoupling control of disturbance and tracking terms but also enhance the disturbance immunity, robustness and rapidity of the controller. Finally, an 18−level MMC system model is built based on Matlab (9.12.0.1884302 (R2022a)) & Simulink (R2022a), and the circulation suppression effects of stable operation and voltage sudden change are simulated and compared, which verifies the suppression effect of the improved control strategy on negative sequence current circulation, which lays a theoretical and application foundation for the sustainable development of the offshore wind power industry.

Estimating the effect of international crude oil prices on RMB exchange rate with two-way fluctuation spillover.

International crude oil prices has become one of the important factors that affect exchange rate fluctuation. By combining TVP-VAR model and DY time-varying spillover index, this paper measures the two-way fluctuation spillover effect between international crude oil prices and RMB exchange rate from 2011 to 2022. The research results show that: (1) There are obvious time-varying characteristics among international crude oil prices, onshore RMB exchange rate and offshore RMB exchange rate, and they are strengthened when major events occur at home and abroad; (2) The spillover and absorption level among international crude oil prices, onshore RMB exchange rate and offshore RMB exchange rate is relatively limited; (3) After the "exchange rate reform on August 11", the market participation of RMB exchange rate has increased year by year, and the offshore RMB is mainly net spillover, while the onshore RMB is mainly reflected as a recipient; (4) The offshore RMB exchange rate has a driving effect on the onshore RMB exchange rate. Based on this, it is necessary to orderly promote the development and utilization of new energy, actively promote the market-oriented reform of RMB exchange rate, play the leading role of offshore market, and accelerate the construction of crude oil-RMB settlement system.

Research on frequency modulation capacity configuration and control strategy of multiple energy storage auxiliary thermal power unit

The rapid development of new energy sources has had an enormous impact on the existing power grid structure to support the “dual carbon” goal and the construction of a new type of power system, make thermal power units better cope with the impact on the original grid structure under the background of the rapid development of new energy sources, promote the consumption of new energy sources such as solar and wind energy, and further expand the channels for upgrading and flexibility transformation of thermal power energy storage, improve the stability, safety and economy of thermal power unit operation. Therefore, based on the research status at home and abroad, a hybrid energy storage system is added to solve the above problems. The lithium battery-flywheel control strategy and the regional dynamic primary frequency modulation model of thermal power units are proposed, and study the capacity configuration scheme of flywheel‑lithium battery hybrid energy storage system under a certain energy storage capacity, the frequency modulation performance is evaluated by the system frequency fluctuation degree, fluctuation peak range and other indicators. Study under a certain energy storage capacity thermal power unit coupling hybrid energy storage system to participate in a frequency modulation of the optimal capacity configuration scheme, and perform simulation verification using MATLAB/Simulink. When the thermal power unit is coupled with a 10.8612 MW/2.7151 MWh flywheel energy storage system and a 4.1378 MW/16.5491 MWh lithium battery energy storage system, while adaptive variable coefficient droop control is adopted, the system frequency range is 0.00328 p.u.Hz, and the fluctuation degree of the output power of the thermal power units is 0.00498 p.u.MW, compared to the individual frequency regulation of thermal power units, it reduces 52.07 % and. The results show that when the thermal power unit is disturbed by external load, hybrid energy storage assisted thermal power unit frequency modulation reduces the mechanical loss of thermal power unit to a certain extent and extends the service life of the unit, effectively improve the operation stability and economy of thermal power units, further reduce the phenomenon of abandoning wind and light, and better promote the utilization of new energy.

Research on the operation state prediction of energy storage unit based on neural network

As a device that can conduct energy storage and release, the energy storage system can accelerate the utilization of new energy and enhance the operation stability of the grid. The main significance of the time series prediction is to analyze the future change trend of the data based on historical data. To more exactly predict the future change trend of the operating state parameters of the energy storage unit, the charge and discharge current data and operating voltage data of the energy storage unit are analyzed and studied. The long short-term memory is used to predict the operating voltage and charge and discharge current of the distributed energy storage unit.

Scheduling optimization of wind-solar power generation system based on Power to Gas

Storage technology and consumption technology can reduce the amount of abandoned wind and sunlight, improve the utilization of new energy, and reduce cost. Firstly, this paper describes the role of P2G (Power to Gas) technology in the field of new energy consumption, then builds the economic cost-optimal day-ahead optimal dispatch model based on a microgrid, examining the ability of P2G devices to consume new energy. Finally, three different scenarios are applied in the example for verification. The calculation example proves that P2G devices have a good effect in the field of scenery consumption and reduce the cost of the microgrid.

Ventilation and heat dissipation analysis of photovoltaic roof

In recent years, the development and utilization of new energy have attracted more and more attention. As a green and clean energy, the utilization and development of solar energy have attracted much attention. Moreover, solar photovoltaic (PV) technology has been vigorously promoted, with building-integrated photovoltaic (BIPV) technology widely used in the building sector. However, in BIPV, although PV modules can be used as building envelope materials and provide electricity for buildings, due to various conditions during installation and design, PV modules are prone to overheating problems and affect photovoltaic performance. Hence, in the present study, a novel type of PV roof structure with lightweight crystalline silicon PV modules installed on the building surface is proposed, and an air space is provided between the novel lightweight crystalline silicon PV modules and the building surface, the novel lightweight crystalline silicon PV module has the characteristics of thinness and flexibility. After that, an experimental test platform with air space is established, and the data of typical meteorological days are selected to analyze the electrothermal performance of the novel lightweight PV roof, to obtain the optimal structure with the best PV performance. The results show that, under the same conditions, when the spacing is 0 mm and 80 mm, the temperature of the backplane and the substrate of the PV module gradually decreases with the increase of the air space. In contrast, the PV power and electricity generation gradually increase with the growth of the spacing. At the same time, when the distance exceeds 40 mm, the changing trend of the backplane of the PV module temperature, the temperature of the roof substrate, and the electricity generation is not apparent. In the present study, the optimal spacing of the novel lightweight PV roof is 40 mm.

Research on Flexible Resource Dynamic Interactive Regulation Technology for Microgrids with High Permeable New Energy

The efficiency of on-site consumption of new energy and the economy of dispatching strategy for that in modern microgrids are increasingly concerning, which are closely related to the microgrid control model with source-load uncertainty. To this end, this paper proposes the multiagent hierarchical IQ (λ)-HDQC regulation strategy to realize the source-load-storage-charging collaborative control of the microgrid model with high-permeable new energy. The first layer adopts the IQ (λ) strategy, which avoids the overestimation and underestimation problems of traditional reinforcement learning by the coupled estimation method. The second layer adopts the HDQC allocation strategy, which solves the problem of low utilization of new energy in the proportional allocation method and improves the adaptability of the regulation strategy in the complex stochastic environment. The interaction of the two-layer strategies realizes the source-network-load-storage-charge global dynamic interactive regulation of microgrids. Indicators of energy efficiency are constructed in this paper to measure the simulation results. And the superiority of the proposed strategy is verified through the simulation results of the microgrid system.

Research on Wave energy Maximum power based on particle swarm optimization algorithm

With the increasing demand for energy, non-renewable resources such as coal and oil, which are the main sources of energy, are gradually depleted and have caused serious pollution to the environment. Therefore, the development and utilization of new energy has become a major research topic in today's society; wave energy, as a new energy source, is one of the most abundant energy sources in the ocean and has considerable application prospects. In this paper, the float and oscillator motion models are established by fitting the drape displacement and drape velocity, the longitudinal rocking angular displacement and longitudinal rocking angular velocity of the float and oscillator to the Runge-Kutta method and matlab toolbox. The particle swarm optimization algorithm is then used to determine the maximum output power of the system, and the optimal damping coefficient.

New energy technology innovation and sustainable economic development in the complex scientific environment

Energy is the material basis of national development, which supports national economic development. With the sustained and rapid economic growth, the energy problem has become the bottleneck hindering sustainable economic and social development, and countries around the world are paying attention to its impact. The development and utilization of New Energy (NE) are inseparable from the support of technological innovation. Technological innovation is an important part of technological philosophy in technological philosophy and the embodiment of value theory. At the current stage of NE economic and ecological development, the contradiction of social values can be solved, because these contradictions can be solved through technological innovation” has been added to the article. To some extent, NE technologies are becoming a new basis for influencing the global pattern and human development. The research on the impact of technological innovation on energy is also helpful to study the impact of science and technology on society. Therefore, this paper studied the relationship between energy technology innovation and economic sustainability by analyzing the characteristics, elements, and challenges of NE technology innovation. Finally, the corresponding implementation strategy was optimized according to the current situation of the NE industry. The resource utilization rate, energy system perfection, and economic benefits after NE technology innovation in complex environment were higher than those before technology innovation. Among them, the resource utilization rate after NE technology innovation was 12.3% higher than that before NE technology innovation; the degree of energy system perfection after NE technology innovation was 9.4% higher than that before NE technology innovation; the economic benefit after NE technology innovation was 9.4% higher than that before NE technology innovation. In short, energy technology innovation was closely related to economic sustainability.

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.

Research on the development and application of electrochemical energy storage in power system

New energy is connected to the power grid on a large scale, which brings some new features. Energy storage plays an important role in supporting power system and promoting utilization of new energy. Firstly, it analyzes the function of energy storage from the perspectives of the power generation side, power grid side and user side, and expounds on the development of electrochemical energy storage. Secondly, it sorts out the relevant policies and technical standards. It points out the main technical challenges in development and application of electrochemical energy storage. Finally it gives suggestions on the development direction.

Key issues of Development and Utilization of New Energy in China under Carbon Peaking and Carbon Neutrality

High-quality development of new energy cannot be achieved without high-level utilization. Utilization rate has become a barometer to measure the effectiveness of new energy management. Through the joint efforts of government departments, power generation enterprises, power grid enterprises, and industry insiders and outsiders, new energy utilization rate has remained above 95% for many years, achieving high-level utilization during large-scale development. In the future, with the continuous increase in the penetration rate of new energy, maintaining high utilization rates presents significant challenges in terms of technology and cost. This paper utilizes the NEOS software independently developed by the State Grid Energy Research Institute to analyse the utilization of new energy in the future and proposes relevant policy recommendations for reasonable utilization rates.

Low-carbon Transformation of Nankai Campus Based on Energy Audits Comprehensive utilization of New Energy

The existing campus has a large building area, a low level of energy saving, less renewable energy utilization, higher energy consumption, and obvious energy-saving space. Based on the energy audit of Nankai University, this paper proposes a low-carbon campus transformation technology system combining building energy saving, clean heat supply and distributed photovoltaic in view of its problems such as high municipal heating energy consumption, low comfort, high electricity bill, and tight electricity consumption. Because the campus has both winter holidays and there is tidal phenomenon in teaching buildings and dormitory buildings, etc., the heating demand is reduced, so its heating and energy-saving space is large. At the same time, the number of campus building floors is low, the roof is conducive to the installation of photovoltaic, it is estimated that the annual power generation of rooftop photovoltaic installation can reach more than 70% of the campus electricity consumption, combined with energy-saving transformation and smart energy management, it is easy to achieve its low-carbon goals.

Research on the Transient Interrupting Voltage of Mechanical HVDC Circuit Breaker and Its Influences on the Postarc Dielectric Recovery Process

The flexible high-voltage direct current (HVDC) power system develops quickly with the large-scale utilization of new energy and the increase of direct current (dc) loads in recent years. HVDC circuit breakers are very important components in the flexible HVDC power system. The mechanical HVDC circuit breaker including vacuum interrupters is a potential solution for HVDC interruption. After the current interruption, a transient interrupting voltage (TIV) generated from the interaction with the external circuit will be applied to the mechanical HVDC circuit breakers and might cause a failure interruption. However, there are still few studies about the influences of TIV on the postarc dielectric recovery process of mechanical HVDC circuit breakers. In this article, a circuit model based on the simplification of a 10-kV mechanical HVDC circuit breaker is developed for the purpose of studying the characteristics of TIV. Then the effects of the parallel snubber circuit on the TIV are discussed. Moreover, the influence of TIV on the postarc residual plasma dissipation process is simulated by a particle-in-cell (PIC) model. The results show that the TIV with a parallel snubber circuit has little effect on the whole dissipation time compared with that without a parallel snubber circuit. It should be noted that the microdissipation processes of the above two situations are different.

Design of power monitoring system for new energy grid-connected operation based on LoRa and 4G technology

With the large-scale development and utilization of new energy, in order to achieve rapid collection, monitoring and judgment of grid-connected power quality data, this paper proposes a design scheme of a remote acquisition and monitoring system for power data based on LoRa and 4G communication technology. The system uses high-precision A/D to sample various types of electrical energy information such as current and voltage in real time, uses digital signal processor (DSP) chips to complete power quality data calculation, and combines LoRa, 4G and cloud platform technologies to achieve distributed remote metering and centralized monitoring. Experimental results show that the proposed scheme and the designed system have good tracking capability, and meet the requirements of technical specifications to calculate and analyze the conversion efficiency (>90%) and total harmonic distortion (<5%) of the grid-connected system, which improves the safety and monitoring efficiency of new energy power plants connected to the power grid.

Construction and application of decision support indicator system for new energy development in Hexi Corridor

Due to the lack of a scientific and objective index system for the development and utilization of new energy in China’s Hexi Corridor, there have been different opinions and views on the selection of new energy fields that need to be developed as a priority and the ranking of development, which is not conducive to scientific decision-making on new energy development. In response to this problem, this paper takes the current situation of new energy industry research in China’s Hexi Corridor as a starting point, uses economic returns, social recognition, environmental protection and unit investment ratio as evaluation indicators, takes solar thermal utilization, photovoltaic power generation, wind power generation and biomass power generation as development objects, establishes a new energy evaluation index system for the Hexi Corridor, and derives principles for the development of new energy in the Hexi Corridor through expert evaluation and analytic hierarchy process. This index system was also applied in the new energy development planning and decision-making study in Jiuquan City. The study showed that Jiuquan City should focus on developing wind power generation, followed by photovoltaic power generation and solar thermal utilization, and finally selectively develop biomass power generation. The results of the study are consistent with the actual situation in Jiuquan City, and can provide theoretical support for the development of the new energy industry in Jiuquan City.

Evaluation method considering rural new energy utilization

Nowadays, it is indispensable for the establishment of a rural new energy utilization rating system, but the current evaluation system has shortcomings that it does not consider the subjective and objective impact, and cannot further select the best when the evaluation grades are the same. In this regard, we establish a new evaluation system for the utilization of new energy in rural areas considering the shortcomings listed above. A control item evaluation is established first according to the actual situation in rural areas and the relevant national standards. Once the item meets the standards, a general item evaluation will be conducted. In the general item evaluation, the subjective and objective weights are calculated using analytic hierarchy processes and entropy weighting methods, and the combined weight is determined through calculation. Then, each evaluation scheme is classified according to the matter-element extension analysis method. To obtain a better scheme, a fuzzy comprehensive evaluation is used when the evaluation level is the same. This paper provides a method that accounts for the subjectivity and objectivity of the evaluation object, classifies evaluation indicators, and resolves the issue of the same evaluation grade that can no longer be evaluated.

Optimal capacity allocation method of integrated energy system considering renewable energy uncertainty

With the reduction of fossil energy and the increase of energy consumption, the development and utilization of new energy is an inevitable trend. Renewable energy has attracted attention because of its cleanness and abundance. However, affected by the randomness and intermittence of renewable energy, it is difficult for the traditional power system to meet the needs of users after renewable energy is connected, and it is difficult to solve the consumption problem of renewable energy by relying on the traditional power system alone. To address this problem, an integrated energy system (IES) is constructed using a two-layer optimization method for the operation strategy and capacity allocation of the integrated energy system, and a particle swarm optimization algorithm is used to solve the multi-objective problem, taking renewable energy consumption, operation cost, and investment cost as the optimization indexes, and considering the equipment operation characteristics, uncertainty of renewable energy and the model constraints. The optimization results obtained from the solution are compared with the traditional energy supply system, and it is verified that the proposed method can achieve the lowest cost investment in the system while satisfying the reliability and safety constraints.