Problem Of Energy Consumption Research Articles

Analysis and Design of Wind Turbine Monitoring System Based on Edge Computing

INTRODUCTION: A wind turbine data analysis method based on the combination of Hadoop and edge computing is proposed. OBJECTIVES: Solve the wind turbine health status monitoring system large data, time extension, energy consumption and other problems. METHODS: By analysing the technical requirements and business processes of the system, the overall framework of the system was designed and a deep reinforcement learning algorithm based on big data was proposed. RESULTS: It solves the problem of insufficient computing resources as well as energy consumption and latency problems occurring in the data analysis layer, solves the problems in WTG task offloading, and improves the computational offloading efficiency of the edge nodes to complete the collection, storage, and analysis of WTG data. CONCLUSION: The data analysis and experimental simulation platform is built through Python, and the results show that the application of Hadoop and the edge computing offloading strategy based on the DDPG algorithm to the system improves the system's quality of service and computational performance, and the method is applicable to the distributed storage and analysis of the device in the massive monitoring data.

Working principle and application of hydrogen fuel cells

With the increasing number of people on the earth, technology continues to improve. People enjoy a convenient life at the same time, the ecological pollution and energy consumption problems are constantly aggravating, in the environment is caused by irreversible damage to the fact in front of before waking up, and then began to develop and research a not only meet the energy needs but also minimize the damage to the environment of a new type of clean energy-fuel cells. Fuel cell is one of the most promising energy sources. At present, hydrogen-fueled automobile is one of the most widely used tools of fuel cell in transportation law, and the production of automobiles is increasing year by year, and the production technology is also improving. National governments have issued relevant policies to support the development and research of fuel cells. However, fuel cells still have problems such as high production cost, high energy consumption, and imperfect hydrogen energy industry chain. This article uses the literature to analyze the working principle, development status and future prospects of hydrogen fuel cells. In addition, it also includes the problems of the current use and puts forward some suggestions to solve the problems, such as improving the hydrogen industry chain and reducing the energy consumption of the battery. It helps people to recognize and understand the fuel cell, and also provides some suggestions for the future direction of fuel cell research.

Performance Analysis of Application of BIM Technology and Two-Way Progressive Optimization Algorithm in Energy-Saving Design of Residential Buildings Based on BIM Technology

The current residential energy-saving design is lagging behind, and lack of systematic design methods and scientific technical means seriously restricts process of improving quality of residential buildings in China. With development and application of digital information technology in construction field, BIM technology has brought new opportunities construction industry, and building performance data has become information basis for scientific promotion of energy conservation. This paper uses BIM technology as a platform to establish an information base of common building materials and components in Chongqing through literature research, field studies, summarization, and application practice, and to help architects make wise decisions at early design stage by using "one-click" scheme comparison and design evaluation to avoid a large number of potential energy consumption problems at a later stage, It greatly improves energy efficiency and design quality of buildings.

Numerical Simulation of the Effect of Feeding Mode on the Reduction of Ore Powder in Hydrogen‐Based Flash Ironmaking Process

The efficiency and heat utilization of modern large‐scale blast furnace in China are close to limits. The potential for energy saving and consumption reduction by continuing to improve blast furnace operation is limited, so there is a need to develop nonblast furnace ironmaking technologies to solve the problems of high energy consumption and pollution. The emerging flash ironmaking technology, which is highly efficient and has low pollutant emissions, has become an option. This article uses CFD software to simulate the 3D steady‐state hydrogen‐based flash ironmaking process at a pilot scale. It is a complex system involving gas‐particle two‐phase flow, heat transfer, and chemical reactions. The article mainly studies the effects of the feeding mode and hydrogen concentration in the reducing gas on the reduction of ore particles. The results show that the residence time of the particles in the furnace is very sensitive to the feeding method, and the maximum residence time of the particles reaches about 2.8 s under the optimal feeding method. In addition, increasing the hydrogen concentration in the reducing gas decreases the particles’ residence time. However, the minimum residence time is more than 2.2 s, and the ore powder can still obtain a high reduction degree.

Research Progress of Preparing Titanium Alloy By Molten Salt Method

Titanium alloy has excellent characteristics that cannot be compared with other metals such as light specific gravity, high specific strength, wide applicable temperature range, corrosion resistance, and hydrogen storage. The traditional titanium alloy smelting process is mainly based on titanium sponge as raw material, which has a long process, high energy consumption, heavy pollution, and other problems, which seriously restricts the sustainable development of titanium alloy in the world. The common methods of preparing titanium alloy are alloy melting, metal thermal reduction, powder metallurgy, and the gradually emerging molten salt electrolysis. Among them, molten salt electrolysis is recognized as the most promising method to replace the traditional titanium alloy production process, and certain achievements have been made in recent years in terms of both process and basic theory research. In this paper, the common processes of titanium alloy preparation by molten salt electrolysis at home and abroad, such as molten salt electrolytic co-deposition method, cathodic alloying method and liquid cathode method, new FFC method, and its derived SOM method, etc., will be summarized systematically, and the future research will be put forward.

Drag reduction of locomotive and practical scene

As an important tool for peoples long-distance travel and transportation, the design accuracy of the high-speed railway must be strictly controlled. In addition, the train design needs to conform to aerodynamics, such as improving the linearity of the train flow to ensure that the gas flows smoothly through every part of the train, or reducing the front pressure to reduce the wind resistance, so as to reduce the problems of train instability, high noise and high energy consumption. This paper will analyse the design concept, flow linearity and how to reduce the resistance of locomotives under high-speed motion of Shinkansen trains in Japan. Because the Shinkansen trains developed in the early and later generations are mainly flat-headed, the study of Shinkansen can understand the significance of flat-headed trains. The practicability and manoeuvrability of ' flat head and 'bullet head' locomotives and the application of locomotives in real life are analysed in detail. Finally, it is concluded that the bullet train has a large turning angle and needs to open up a special road to run smoothly, but the bullet train is faster than the flat head. The flat-head train is highly practical and suitable for driving in the city, and another advantage of the flat-head train is that it can still maintain high stability and safety when carrying many passengers.

Review on thermal properties and reaction kinetics of Ca(OH)2/CaO thermochemical energy storage materials

AbstractThermochemical energy storage technology is one of the most promising thermal storage technologies, which exhibits high energy storage capacity and long‐term energy storage potentials. The low‐cost, safe, and reliable calcium oxide/calcium hydroxide (CaO/Ca(OH)2) system has become the preferred thermochemical energy storage material system to solve the problem of renewable energy consumption. This study reviews the structural, thermodynamic, and kinetic properties influencing the absorption and desorption reactions of calcium oxide (CaO) and calcium hydroxide (Ca(OH)2) in thermal energy storage applications. It is found that the transformation of crystal structure from cubic to hexagonal upon hydration is attributed to volume expansion and crack formation facilitating diffusion. The specific heat capacities of CaO and Ca(OH)2, as well as reaction enthalpies, are studied across temperature ranges. Most studies on reaction kinetics are focused on the effect of factors such as temperature, particle size, and material content. Strategies to mitigate issues such as particle agglomeration and enhance reaction efficiency are discussed, including the incorporation of enhancing materials such as γ‐Al2O3. This study underscores the importance of the core reaction material content and the enhancing materials that are used to optimise energy density in thermal chemical water‐absorption and ‐desorption reactions.

Optimal scheduling of blockchain-based virtual power plants considering distribution network congestion

The development of renewable energy has brought new challenges to the power system. Virtual power plant based on blockchain is an effective means to solve the problem of new energy consumption. Solving the internal risk of line overload or voltage over-limit of a virtual power plant can make it play a better role. This paper proposes a scheduling method for a virtual power plant based on blockchain, which can solve the congestion problem. Firstly, the scheduling process of a blockchain-based virtual power plant is designed. Secondly, it is discretized as the basis of the congestion management scheme. Thirdly, the price penalty is introduced into the scheduling process to solve the congestion problem. Finally, an example is designed for simulation. The results show that the method can solve the congestion problem while realizing the virtual power plant scheduling.

A systematic review of green-aware management techniques for sustainable data center

Cloud computing is one of the powerful engines driving global industrial upgrading and the booming digital economy. However, the explosive growth of cloud data centers (DCs) has resulted in inevitable energy consumption and carbon emission problems. Therefore, constructing energy-efficient and sustainable DCs will be essential for green cloud computing. This review makes several efforts to thoroughly investigate and track the research progress and routes to sustainable DCs. Firstly, we construct a new conceptual model of sustainable DCs to cover cutting-edge research results and indicate future evolutionary directions. Secondly, this review provides a comprehensive survey of five topics from a technical perspective: workload management, virtual resource management, energy management, thermal management, and waste heat recovery. Subsequently, some real-world datasets relevant to the topics, including workload traces, renewable energy data, and electricity price traces, have been specifically collected to support researchers in conducting further research. Finally, based on observations of existing works, we highlight some salient technical challenges and promising solutions to provide sensible energy and carbon reduction suggestions in sustainable DCs.

A deep reinforcement learning resource allocation strategy for integrated sensing, communication and computing

The growing number of sensor nodes requires higher computational and communication resources to meet the needs of more complex applications as increasingly sophisticated mobile communications and networks evolve. As energy and time are necessary to request these resources, Edge Computing(EC) has become a key enabler to solve energy and time consumption problems in the field of Integrated Sensing, Communication, and Computing (ISCC). Computation offloading is an important technology, and Edge devices (EDs) can be used to reduce latency and energy consumption by offloading tasks to EC servers. However, the transmission also causes latency and energy consumption, so this paper proposes a DDORS scheme to solve this problem by decomposing the original problem into two subproblems and using convex optimization and DRL to obtain optimal solutions to reduce the weighted total cost of completing tasks in terms of latency and energy consumption. The simulation results indicate that the proposed DDORS may drastically reduce costs when compared to various baseline schemes.

Promoting the Calcified Roasting of Vanadium Slag Based on the CeO2-Catalytic Oxidation Mechanism.

Calcification roasting-acid leaching is a clean, efficient, and environmentally friendly process, but in the roasting process, the local temperature is often too high, the heat release is not timely, and the heat transfer is blocked. Furthermore, the material is easy to sinter, which affects the final vanadium extraction effect. In this paper, a small amount of CeO2 was introduced in the roasting process of vanadium slag to promote the calcified roasting. The results showed that the vanadium leaching rate reached 93.17% with the addition of 0.1 wt % CeO2 at a roasting temperature of 750 °C, which was higher than that obtained without CeO2 addition (90.00%). The results of XPS, XRD, and SEM-EDS analyses confirmed that adding CeO2 to the roasted clinker significantly increased the proportion of pentavalent vanadium to the total vanadium by up to 28.64%. O2-TPD analysis revealed an enhanced chemisorbed oxygen with the CeO2-assisted roasting, indicated the activation of oxygen by CeO2, and resulted in an enhanced oxidation of vanadium. The work in this paper establishes an alternative route for catalytic oxidation-enhanced vanadium slag roasting, which can improve the utilization of vanadium slag at relatively lower temperatures under the action of CeO2 and is of positive significance in solving the problems of sintering and energy consumption in the roasting process.

Neural Network-based Pattern Recognition in the Framework of Edge Computing

Neural network (NN) model has been widely used in pattern recognition (PR), speech recognition, image processing and other fields, but its application in edge computing (EC) environment faces performance and energy consumption problems. This article first introduced the basic structure and training process of NN, including backpropagation algorithms. Then, this article presented a NN modeling approach based on EC, including NN model compression, distributed NN model and knowledge distillation approach. Finally, this article implemented a PR model for the MNIST (Mixed National Institute of Standards and Technology database) dataset and analyzed the experimental results. The experimental outcomes indicated that the presented approach can significantly enhance the performance of the NN model in the EC environment, while ensuring a high recognition accuracy. The NN modeling approach based on EC can reduce the amount of computation and storage of the NN, thus improving the operating efficiency of the NN in the EC environment by 6%-12%. The NN modeling approach based on EC can optimize the performance and efficiency of the NN model in the EC environment, and provide new ideas and approaches for the application of NN in the EC environment.

A novel wear-resistant and corrosion-resistant Mo2NiB2–Ni cermet coating prepared using fast hot pressing sintering

A new fast hot pressing (FHP) sintering method was used to prepare Mo2NiB2–Ni cermet coating to solve the problems of small scale and high energy consumption in the production. The synthetic phase and microstructure of the Mo2NiB2–Ni cermet coating were studied, and friction and wear as well as electrochemical corrosion performance were also tested. The results indicated that the Mo2NiB2–Ni cermet coating was composed of two phases, the Mo2NiB2 hard phase and the Ni metal-bonded phase. A metallurgical bond interface resembling interlocking teeth was formed between the Mo2NiB2–Ni cermet coating and the stainless steel substrate, thereby enhancing the bonding strength of the interface. Compared with the Mo2FeB2–Fe cermet coating, the Mo2NiB2–Ni cermet coating had certain wear resistance and excellent corrosion resistance. The high hardness of the Mo2NiB2 hard phase, the low mutual solubility between the Ni metal-bonded phase and the Si3N4 balls, and the generated mechanical mixing layer reduced the friction coefficient and the adhesive wear, which improved the wear resistance. The higher open circuit potential and the formation of the passivation film during the corrosion process enhanced the corrosion resistance of the Mo2NiB2–Ni cermet coating.

Energy Consumption Optimization Analysis of LNG Receiving Station Based on Genetic Algorithm

In response to the problem of high energy consumption in LNG receiving stations, based on literature research, numerical simulation combined with genetic algorithm optimization methods were used to establish a calculation model and ASPEN HYSYS steady-state simulation model for the LNG receiving station equipment, each unit process and the overall receiving station process. The various parameters in the LNG receiving station will have a certain impact on the overall energy consumption of the LNG receiving station. Combined with the operating requirements of the LNG receiving station site under different working conditions, and considering the coupling effect of multiple factors, the technology of optimizing the operating parameters of the LNG receiving station to reduce energy consumption is selected, and the adjustable decision-making parameters and their range of changes are selected, and the constraints are set according to the actual situation and Establish the energy optimization objective function of the LNG receiving station process system, and evaluate and analyze the energy consumption indicators of the optimized process system.

Energy and latency-balanced osmotic-offloading algorithm for healthcare systems

Healthcare has become an on-the-fly service that is available at one’s fingertips through smartphones, smart wearables, etc. Many a task related to health are solved on these devices. However, certain tasks require higher computational resources, leading to high energy consumption. Moreover, various latency-intensive tasks demand immediate actions and need to be completed within a stipulated time or a certain deadline. Offloading tasks to nearby edge devices or moving them to the cloud could be a viable solution to address the problem of latency and energy consumption. We present an offloading algorithm for healthcare systems by leveraging osmotic computing to handle compute-intensive, energy-consuming and latency-intensive tasks. The proposed algorithm is simulated and evaluated using various synthetic test cases to show its efficacy. We have analysed the performance of our proposed energy and latency-balanced osmotic-offloading (ELBO) algorithm in terms of average latency, success ratio, task failure rate and energy consumption.

Day-Ahead scheduling of rural integrated energy systems based on distributionally robust optimization theory

The integration of diverse industries in rural areas is an important step in building a smart countryside and achieving rural revitalization. Aiming at the problem of high energy consumption and pollution in agricultural production parks under the traditional energy structure, a new rural comprehensive energy park distribution robust scheduling model for water containing product breeding greenhouses is proposed in this paper. Firstly, a greenhouse model for aquaculture based on the principle of thermal flow is established. Secondly, considering energy production, consumption and storage, a rural integrated energy system model is established. In response to the uncertainty of residential electricity load, solar radiation, and environmental temperature within the park, a distributed robust optimization model is established using Kullback Leibler divergence. Finally, a numerical simulation is conducted using energy data from a real rural aquaculture park. The results show that compared to agricultural production parks under traditional energy models, the new rural comprehensive energy system model proposed in this paper fully integrates rural resources, reduces daily operating costs by 74.832 %, and reduces total carbon emissions by 33.75 %, providing theoretical support for rural industrial structure adjustment and energy transformation.

Experimental Research on a Gas Liquid Mixing Oxygen Increasing Device based on Microbubbles

With the development of large-scale and high-density aquaculture, higher requirements have been put forward for the effectiveness of water oxygenation. In response to the problems of low oxygenation efficiency and high energy consumption of oxygenation devices on the market, a new type of oxygenation device was designed based on the theory of microbubble generation technology, and its oxygenation performance was studied through clear water oxygenation experiments. The experimental results show that under the action of microbubbles, the oxygenation device has the best oxygenation effect when the water flow rate and oxygen flow rate are 2.4m3/h and 0.4L/min, respectively. After adding oxygen to clean water with an initial oxygen concentration of 5.3mg/L through the device, the oxygen concentration increased to 11.2mg/L, reaching a supersaturated state. The oxygen absorption rate was 41.2%, and the oxygenation capacity was 6.68kg/h. Compared to traditional oxygenation machinery, under the premise of achieving the same oxygenation effect, the oxygenation time is shorter, effectively improving the oxygenation efficiency

Source-Grid-Load Cross-Area Coordinated Optimization Model Based on IGDT and Wind-Photovoltaic-Photothermal System

A source-grid-load cross-area coordinated optimal dispatch model based on IGDT and a wind-photovoltaic-photothermal system is suggested to handle the problem of renewable energy consumption under large-scale wind power and photovoltaic grid connections. Firstly, the peak flexibility of a wind-photovoltaic-photothermal co-generation system is investigated to improve the utilization rate of wind and solar resources. To increase the model’s efficiency and accuracy, the alternating direction multiplier method (ADMM) is used. Finally, arithmetic examples are utilized to examine and contrast how the system dispatch cost changed under risk-averse and risk-seeking strategies. It also examines how the installed ratio of concentrated solar power plants affects the overall cost of the system. The findings demonstrate that the suggested model may achieve a coordinated optimization of the source, grid and load while lowering system operation costs.

Electrochemical synthesis in company with hydrogen production via renewable energy: Opportunities and challenges

Organic electromechanical synthesis is an eco-friendly and efficient method for material synthesis, effectively addressing the high energy consumption and pollution problems in the traditional chemical industry. By combining hydrogen production from water electrolysis with organic electromechanical synthesis, the reactive oxygen/hydrogen from water hydrolysis can be utilized to oxidize/reduce organic compounds, reducing energy consumption and producing valuable organic products. However, this strategy still faces challenges when implemented in the industry. This paper addresses major technical challenges in the field, providing new insights for future advancements. Firstly, when selecting anode reactions for hydrogen production, it is important to consider the value and market demand of the oxidation product to match the production scale. Secondly, the development of efficient electrocatalysts and electrodes is required to enhance the oxidation kinetics and mass transfer of organics at the current density levels of industrial hydrogen production (500–2000 mA cm−2). Thirdly, it is essential to improve the selectivity and Faraday efficiency of the anode target product to lower the cost of subsequent separation and purification. Fourthly, existing anion and oxygen ion exchange membranes lack corrosion resistance to organic matter, and new separator materials with high ion conductivity and stability are crucial for the electrolytic coupling system. Finally, when combining organic oxidation and water electrolysis, the complexity of product separation increases, and it is recommended to integrate distillation, extraction, membrane separation, and electrochemical reactions to improve process efficiency.

The research on the solutions of the energy consumption problem in WSN in medical field

In the last few years, the Wireless Sensor Networks technology has been a hot topic, and depending on its self-organization feature, it has been utilized in many fields. The WSN is a technology that collects different kinds of data from different sensor nodes and processes them to a database center which will provide information to the users. But, because the main tool to collect data is the sensor nodes, the problem of energy consumption will be caused. The article will mainly give the exact reason why the energy consumption problem shows up and pay attention to different solutions to this problem. The solutions are very effective in solving these problems and can be gradually applied in many fields, especially in the medical field, which the article focuses on.