Development Of Power Industry Research Articles

Research on Collaborative Evaluation of Offshore Wind Power Value Chain in Guangxi-Based on BWM-FVIKOR Model

With the dynamic development of the offshore wind power industry and the global value chain, the traditional wind power industry is gradually turning to the offshore wind power value chain system that focuses on the value effect of the value chain, and it is of great significance to carry out value chain collaborative evaluation research. This paper puts forward the evaluation index system of Guangxi offshore wind power value chain from the comprehensive system dimension, key node dimension, subject contribution dimension and resource endowment dimension, builds the BWM-FVIKOR evaluation model, and proves the validity of the evaluation index and the feasibility of the evaluation model through example analysis, and this paper provides scientific and effective decision-making basis for the coordination of Guangxi offshore wind power value chain.

Study on sandstorm hazard evaluation for inland nuclear power plant site

With the development of nuclear power industry, the environmental conditions of alternative nuclear power plant sites are becoming more and more diversified, and the inland area can be also selected as potential nuclear power plant site. Dust storm is one of the typical external hazards needed to be considered for inland sites. This study proposes a framework for evaluating the dust storm hazard at a nuclear power site. In this paper, we perform the dust storm hazard analysis based on the probabilistic approach to evaluate the annual exceedance frequency of dust storm under different intensities. An inland area is studied as an example, and the historical data are used for the analysis. We do the hazard analysis to obtain the probability that the dust storm intensity exceeds a range of threshold values within the target site. The final result is given as sandstorm hazard curves, which show the annual exceedance frequency of different dust storm intensities. The hazard curves can be helped to decide design basis or used in external hazard risk analysis for inland nuclear power plant sites.

Influence of current trends on the sustainable development of power industry in Russia

The relevance of the research is the need of forming of measures for the accelerated transition to a more effective steady power in the conditions of the world economic crisis. The current trends and challenges of the development of the power industry of Russia, aimed at the revision of the principles of their construction, creation of the distributed architecture, integration of technology systems and technologies are revealed on the basis of the conducted research. The analysis of modern trends in energy development indicates the need for an integrated approach to solving external and internal problems. The matters of power transition, its motivating factors aimed at the satisfaction of the requirements in energy without any damage to the environment are studied. Recommendations for the more effective use of innovations in the sphere of green power, taking into account economic and environmental problems are made. Realization of the issues of sustainable development of the power industry of Russia, will demand forming the measures promoting the accelerated transition to the more effective power industry, steady against the challenges and threats.

Modeling and analysis of electro-thermal processes in installations for induction heat treatment of aluminum cores of power cables

Introduction. The development of the electric power industry is directly related to the improvement of cable lines. Cable lines meet modern requirements for reliability, they are increasingly used. Problem. Currently, power cables with an aluminum multi-conductor core, which requires heat treatment - an annealing process at the stage of the technological manufacturing process, are widespread. This process makes it possible to desirably reduce the electrical resistance of the wire and increase its flexibility. For effective use of induction heating during annealing of an aluminum core, it is necessary to determine the optimal frequency of the power source of the inductor. Considering the long length of the inductor and the large number of its turns, the numerical calculation of the electromagnetic field, which is necessary for calculating the equivalent electrical parameters of the turns of the inductor and its efficiency, requires significant computer resources. The goal is to develop a computer model for calculating electro-thermal processes in an induction plant for heating (up to the annealing temperature) an aluminum core of a power cable moving in the magnetic field of a long multi-turn inductor, as well as obtaining frequency dependences of the equivalent R, L parameters of such an inductor and determining the optimal the value of the frequency of the power source, which corresponds to the maximum value of the electrical efficiency of the inductor. Methodology. The mathematical model was developed to analyze the coupled electromagnetic and thermal processes occurring in a core moving in a time-harmonic magnetic field of an inductor at a constant speed. The differential equations for the electromagnetic and temperature fields, taking into account the boundary conditions, represent a coupled electro-thermal problem that was solved numerically by the finite element method using the Comsol software package. For a detailed analysis of the electromagnetic processes in the inductor, an additional problem was considered at the level of the elementary cell, which includes one turn of the inductor and a fragment of the core located near this turn. Results. According to the results of the calculation of the electromagnetic field in the area of the elementary cell, the equivalent electrical parameters of one turn of the inductor and the entire multi-turn inductor were calculated depending on the frequency of the electric current. The frequency dependences of the electrical efficiency of the inductor were calculated. Originality. Taking into account the design features of the inductor (its long length and large number of turns), the method of multiscale modeling was used. Electro-thermal processes in the core were studied at the macro level, and the distribution of the electromagnetic field and electric current density in the cross-section of the massive copper turn of the inductor was calculated at the micro level – at the level of an elementary cell containing only one turn of the inductor. The frequency dependences of the equivalent R, L parameters of the inductor, taking into account the skin effect, the proximity effect, and the geometric effect, were obtained, and the quantitative influence of the electric current frequency on these effects was studied. Practical value. The dependence of the electrical efficiency of the inductor on the frequency of the power source was obtained and it was shown that for effective heating of an aluminum core with a diameter of 28 mm, the optimal value of the frequency is in the range of 1–2 kHz, and at the same time the electrical efficiency reaches values of ηind = 0.3–0.33, respectively.

Research on the Reasonability of Electricity Trading Data Based on Electricity Data Analysis

The rationality of power transaction data based on power data analysis can effectively promote the diversified development of China's power industry and meet the diverse electricity needs of the people in production and life. Professional technical personnel in the power field will integrate new technological means into the rationality of transaction data work, which will provide guidance for its sustainable development. Based on this, this article conducts a more targeted analysis from three levels: the advantages of electricity trading data rationality based on electricity data analysis, the classification of electricity trading data rationality based on electricity data analysis, and the exploration of electricity trading data rationality methods based on electricity data analysis, in order to provide reference for the effective promotion of Gini in related project engineering.

Оценка опасности теплового излучения водородного пламени

Today, due to the rapid development of the hydrogen power industry, fire safety of hydrogen-containing facilities becomes a matter of great importance. Risk assessment for the hydrogen power facilities is one of the key objectives of the development. To find the solution, the information on the intensity of hydrogen flare radiation must be obtained. At the same time, such information published in literary sources is often incomplete and sometimes even contradictory. Therefore, the study aims to review the literary sources published in Russian and international journals. The basic value required to assess fire hazard is the intensity of the surface radiation of hydrogen flame. The study considered four types of the flame; i.e., the gaseous jet flame, the jet flame of liquid hydrogen, the flame in the liquid hydrogen pool, and the fireball. Remarkably, the intensity of the surface thermal radiation of hydrogen flame is significantly lower when compared with the hydrocarbon flame. For fire hazard calculations, the intensity of the surface thermal radiation of jet flame of gaseous hydrogen can be adopted as equal to 33 kW/m2. The surface thermal radiation intensity value for the hydrogen fireball can be adopted as equal to 330 kW/m2. The intensity of the surface thermal radiation at liquid hydrogen combustion (for both jet flame and pool fire) can be adopted as equal to 80 kW/m2.

Energy complexes based on small hydropower plants of factory readiness

This article covers the role and potential of small hydroelectric power plants (SHPP’s) of factory readiness as part of the energy complex in the context of sustainable development of energy infrastructure and environmental safety. Attention is paid to the capabilities of the SHPP, as a key element in the strategies of reliable and environmentally friendly energy supply, especially in remote, decentralized and hard-to-reach areas. The SHPP effectiveness study requires an integrated approach covering the analysis of technological and environmental aspects. The article presents the results of the analysis of the SHPP projects implemented, emphasizing their contribution to the development of sustainable energy and highlighting both the advantages and challenges faced by these projects. The conclusion summarizes the results that indicate the importance of the SHPP as a tool for achieving the goals of renewable energy and sustainable development of the electric power industry as a whole.

Sustainable Operation and Maintenance of Offshore Wind Farms Based on the Deep Wind Forecasting

Offshore wind farms are becoming a pivotal solution to address the increasing energy demand worldwide and reduce carbon emissions to achieve a sustainable energy sector. Considering the higher operational and maintenance cost of offshore wind farms, it is important to make a good maintenance plan to guarantee the system’s reliability and reduce the total cost related to maintenance activities at the same time. Because maintenance planning is a long-term decision problem and the wind force is random, long-term wind force prediction is needed to help managers evaluate the loss caused by maintenances to be executed in the future. However, long-term wind force prediction is naturally complicated, which is much harder than the short-term (e.g., day-ahead) prediction widely investigated in the literature. In order to overcome this difficulty, we design a deep learning framework combining variational mode decomposition, a convolution neural network, long short-term memory network, and full-connected network. Using the public data from the city of Leeds, the prediction accuracy of the above framework is validated by comparing it with other prediction techniques. Then, the predicted wind force is input into the established optimization model determining preventive maintenances during a predefined period. Because the uncertainty of wind force is replaced by the prediction value, the optimization model can be established as a mixed-integer linear programing model, which only contains limited variables and can be solved quickly. Lastly, an abundance of numerical experiments are conducted to validate the effectiveness of the proposed optimization model, based on which some managerial insights are provided to the managers of offshore wind farms about the optimal operations and maintenance strategy. The research outcome will greatly promote the development of the wind power industry in the future.

Analysis of the main approaches, methods of selection and justification of the parameters and modes of wind power plant for integration into the work of the electric power transmission

One of the priority directions for the development of the electric power industry in Ukraine is the development and use of alternative and renewable energy sources, which leads to a reduction in dependence on the import of electricity. A large part of Ukraine's territory is characterized by favorable conditions for generating electricity using modern wind power plants.
 The article discusses the integration of wind power plants without considering other renewable energy sources. Compared to other sources of renewable energy, the operation of wind power plants has a random nature of electricity production, as the generated power can significantly vary during a day. This requires to take into account certain requirements for power systems during the integration and co-operation with wind power plants. Therefore, in the paper, wind power plants are considered separately from other sources of renewable energy, as they have their own peculiarities and can affect the operation of power systems.
 Integration of a significant amount of renewable energy sources, including wind power plants, into power systems requires solving various tasks related to the characteristics and functionality of such plants, as well as the structure of the generating sources of power systems. Among these tasks, it is necessary to ensure the necessary reserve capacity to timely compensate for changes during electricity generation, maintain the reliability of power system operation, and take measures to compensate for possible reduction in the quality of electrical energy. In fact, the processes of changing the power generated by wind power plants occur quite rapidly, especially in case of sudden deterioration of weather conditions, which is a fairly common phenomenon.
 The methods of selection and justification of parameters and operating modes of wind energy installations for integration into electric power systems have been analyzed. Various approaches to the selection of wind energy installations parameters and modes are described in the work, focusing on methods that ensure system reliability or adequacy of generation.
 Methods for selecting and justifying parameters and modes of wind power plants for integration into operation of power systems based on power and energy balance have been formulated. Key indicators that consider electricity demand conformity are defined in the work, along with approaches to balancing energy production and consumption.
 An evaluation of the effectiveness of wind power plants in different integration modes into power systems operation has been performed, taking into account economic aspects. The impact of different modes on the rational use of generated energy, particularly in cases of insufficient and excess generation, is examined, and economic indicators associated with these modes are considered.
 An analysis of the exact match mode (zero imbalance) of wind power plants in the context of integration into operation of PSs has been conducted. The utilization of storage and auxiliary maneuvering capacities' effects on the duration of the exact match mode and the level of zero imbalance are determined.

Research on innovation management and innovation governance of power grid under low-carbon transition

Green development as the basic goal of the construction of modern society, at present our country strengthening the reform of energy production and consumption, actively building a clean low-carbon and safe and efficient energy system, this not only clarified the future direction of energy development, but also changed the traditional power industry development mode. Therefore, on the basis of understanding the development background of low-carbon transformation of power grid, this paper mainly explores the power grid planning model and application effect of adapting to the development of low-carbon energy in a certain region according to the response ideas and implementation suggestions of power grid enterprises under the background of low-carbon transformation, so as to provide reference for the innovative development of power grid enterprises in the new era.

Innovative mechanisms for designing the system of public administration of the industry

Subject. This article discusses the development of wind energy in Russia. Objectives. The article aims to identify a set of key management objects and develop a process model for the functioning of the State management system of the electric power industry. Methods. For the study, we used a systems analysis. Results. Based on the analysis of the regulatory legal acts governing the development of the electric power industry in Russia, the article designs a single control loop for the industry. It finds that the problems of the existing system of governance lie in the fragmentation and disparity of its elements with each other. For the received projects of the federal system of public administration in the energy sector, the article offers complete lists of elements that eliminate the identified problems. Conclusions. The results of the study can be taken into account when developing projects for the use of renewable energy sources in Russia.

Ice-phobic properties of MoS2-loaded rice straw biogas residue biochar-based photothermal and anti-corrosion coating with low oxygen to carbon ratio

Icing of wind turbine blades will seriously hinder the development of the wind power industry, and the use of biomass resources to solve the icing problem is conducive to promoting the synergistic development of biomass and wind energy. In this study, ice-phobic coatings with photothermal and anti-corrosion properties were prepared by surface modification pyrolysis and hydrothermal reaction with rice straw biogas residue as raw material. The erosion of KOH and the surface modification of MoS2 produced a rough structure of the material, and the high-temperature pyrolysis and hydrothermal reaction promoted the dehydrogenation and decarboxylation reactions, which reduced the number of oxygen-containing functional groups and decreased the surface energy of the material. The ice-phobic coating has superhydrophobic properties with a contact angle of 158.32°. Due to the small surface area in contact with water, the coating was able to significantly reduce the icing adhesion strength to 53.23 kPa. The icing wind tunnel test results showed that the icing area and mass were reduced by 10.54% and 30.08%, respectively, when the wind speed was 10 m s−1 and the temperature was − 10 °C. Photothermal performance tests showed that the MoS2-loaded material had light absorption properties, and the coating could rapidly warm up to 58.3 ℃ under xenon lamp irradiation with photothermal cycle stability. The loading of MoS2 acts as a physical barrier, reducing the contact of corrosive media with the substrate, thus improving the anti-corrosion of the coating. This study has practical application value and significance for the development of the anti-icing field under complex environmental conditions.Graphical

Functionalized hydrogen-bonded organic superstructures via molecular self-assembly for enhanced uranium extraction

Effective uranium extraction from water is essential for the development of nuclear power industry and the protection of human health and environment. Nevertheless, it still remains challenging to realize efficient and cost-effective uranium extraction. Herein, a fast and simple method for the direct fabrication of novel functionalized hydrogen-bonded organic superstructures via molecular self-assembly is reported. The as-constructed flower-like superstructures (MCP-5) can allow the exposure of adsorption sites and facilitate the transport of uranyl ions, while synergism between amino and phosphate groups can realize selective uranium extraction. Consequently, MCP-5 possesses excellent uranium adsorption ability with a high saturated adsorption capacity of 950.52 mg g−1, high utilization rate of adsorption sites and adsorption equilibrium time of simply 5 min in uranium-spiked aqueous solution. Furthermore, MCP-5 offers selective uranium adsorption over a broad range of metal ions. The facile synthesis and low-cost raw materials make it have promising potential for uranium capture. Simultaneously, this study opens a design avenue of functionalized hydrogen-bonded organic material for efficient uranium extraction.

A novel hybrid grey system forecasting model based on seasonal fluctuation characteristics for electricity consumption in primary industry

As a critical economic index, the annual electricity consumption plays an essential role in reflecting the domestic economic environment. For the sustainable development of the electricity power industry, an accurate electricity consumption forecasting model can not only guide the power generation work in advance but also help to determine the regulation law of electricity economic development. To accurately describe the seasonal fluctuation characteristics of electricity consumption in China's primary industry, Fourier modified grey forecasting model based on seasonal fluctuation characteristics and initial condition optimization (FDSGM(1,1,x(β),γ)) was put forward. Based on the empirical data of seasonal electricity consumption in China's primary industry, comparing with SGM(1,1), RSGM(1,1) and DSGM(1,1), the minimum mean absolute percentage errors (MAPEs) in the training set was reduced to 0.2 %, while that in the testing set was also reduced to 6.02 %, which was significantly better than those of the previous three forecasting models and was also markedly better than the prediction accuracy of reference [15]. The results indicated that FDSGM(1,1,x(β),γ) could identify seasonal fluctuations and variations and was a reliable seasonal forecasting tool that could be used to ensure sustainable development of electricity markets.

Mechanical properties prediction of ferrite ductile iron via machine learning

The rapid development of the wind power industry requires ductile iron to maintain high toughness while improving strength. Machine learning offers the possibility to accelerate various aspects of material development and performance optimization. In this paper, we established a composition-property dataset for ferritic ductile iron, and a variety of machine learning algorithms are compared to construct a composition-property model for ferritic ductile iron finally. The composition is chosen as the model input, and the outputs are four properties: tensile strength, Brinell hardness, yield strength and elongation. The correlation coefficients of the models constructed are above 0.96, and the mean absolute percentage errors are below 5%. The mean relative error between the model predictions and the experimental values is 4.43%, which effectively verifies the reliability of the composition-properties model of ductile iron constructed. This paper also uses the machine learning model to predict the effect law of each element content on the mechanical properties of ductile iron, and uses thermodynamic prediction of phase composition to verify the reliability of the machine learning method to predict the mechanical properties of ductile iron, which provides strong guidance for the design of new ductile iron with high strength and high plasticity at room temperature.

Disassembly Sequence Optimization of Lithium Battery Pack Based on Priority Constraint Graph

With the rapid development of the new energy vehicle power industry, the power system of automobiles is about to usher in a wave of retirement. At present, most of power lithium battery packs are disassembled violently, which lack a reasonable disassembly order. This causes a waste of time and cost during the disassembly process. Some harmful parts will also pollute the environment. In order to improve the disassembly efficiency of retired lithium-ion battery packs, the disassembly sequence planning problem (DSP) based on priority constraint graph is studied in this paper. After analyzing disassembly characteristics, the priority constraint graph is constructed as the constraint matrix. Considering the disassembly efficiency, a mathematical model is established to optimize the direction and the number of tool changes. An improved Simulated Annealing Particle Swarm Optimization (SA-PSO) algorithm is designed, which is to update the disassembly sequence by the population update method. The particles are assisted to jump out of the local optimum by the Metropolis criterion of SA algorithm. An adaptive method is proposed for the PSO inertia weight ω. In order to verify the validity of the model and algorithm, an example is introduced to compare SA-PSO with PSO and SA algorithm. The results show that the improved algorithm performs well in the evaluation index of fitness. The convergence rate is fast and more stable.

ЭКОЛОГИЧЕСКАЯ БЕЗОПАСНОСТЬ В КОНТЕКСТЕ ПРОГНОЗОВ РАЗВИТИЯ ТРАДИЦИОННОЙ И АЛЬТЕРНАТИВНОЙ ЭНЕРГЕТИКИ

In the article, in connection with the problem of ensuring environmental safety and, in particular, in connection with the need to overcome the low level of environmental education and environmental culture of the population, the results of research on the development of energy, the use 
 of renewable energy sources on a planetary scale and in Russia are considered. The research in the framework of this article was carried out, among other things, with the aim of further using the results obtained in the development of an educational and methodological manual at the department of security service of the Saint-Petersburg university of State fire service of EMERCOM of Russia, the content of which is related to the theoretical and practical study in classes on the disciplines of environmental orientation and life safety of the impact on ensuring environmental safety of alternative energy, separate renewable energy sources. This article presents forecast data in the field of energy development in the world, in individual countries and in Russia by 2050, published on the EES EAEC website. The prospects for the development of the electric power industry for the foreseeable future, up to 2050 in the whole world and Russia, are shown, according to which a significant increase in the use of renewable energy sources is expected and, consequently, a reduction in the negative impact on the environment, an increase in environmental safety.

Policy modeling consistency analysis during energy crises: Evidence from China's coal power policy

The coal power crisis threatens global energy security and hinders the achievement of the sustainable development goals. Regarding energy security, quantitative analysis of the coal power policy is required for the sustainable development of the coal power industry. Therefore, by using the methods of text mining and content analysis and taking three large-scale coal power crisis series of policies in China as examples, this paper constructs a PMC index model of coal power policy and analyzes the evolution of coal power policy system from the perspective of crisis management. The results show that: (1) China's coal power policy is characterized by diversification of policy areas and policy instruments, but there are problems such as poor coordination between sectors and insufficient supply-demand early warning. (2) According to the different periods of the coal power crisis, the gestation period mainly involves the instruments of target planning and regulatory constraint, which can play a guiding role but may also have the reverse effect due to the shortage of power supply. During the explosive period, price and multisubject governance mechanisms are used to intervene in the crisis. During the processing period, the government mainly strengthens the supply-oriented policy to meet the structural adjustment of energy industry demand. (3) Throughout the three coal power crises, the supply policy instruments and multisubject governance mechanisms have gradually become the primary means to address the coal power crisis. Finally, suggestions are put forward for the implementation of the coal power policy from multiple perspectives.

Retraction Note: Electric power industry development in the Russian Federation considering the structural trends of the world economy

Retraction Note: Electric power industry development in the Russian Federation considering the structural trends of the world economy

Interference effects on the upstream wave generated by the catamaran moving across a depth change

With the development of the offshore wind power industry, there is an urgent need to improve the energy efficiency of the operation and maintenance(O&M) catamaran. When the catamaran accesses the offshore wind farm, the vessel could sail on an uneven bottom. Based on our previous study, the effect of the step bottom on the wave-making resistance and upstream wave had been quantified. However, wave interference plays a major role in the hydrodynamic characteristics of the catamaran hull, thus we extended our programme to calculate the hydrodynamic performance of the demi-hulls at the variable water depth. An upstream tsunami could be initiated by the hydrodynamic interaction between the catamaran and the uneven bottom shown from the simulation results, there is an abrupt change in the unsteady hydrodynamic forces as well. The oscillating amplitude and period of the unsteady forces acting on the catamaran are highly dependent on the separation distance between the demi-hulls and speed. The maximum amplitude of the upstream wave and hydrodynamic forces forecast are implemented after the main dimension parameters of the catamaran are determined in the preliminary design. The present simulation programme can supply the reference for the design evaluation of the O&M catamaran in the future.