Power Generation Industry Research Articles

Chemical looping combustion oxygen carrier production cost study

The objective of this study was to estimate the cost of commercial production of oxygen carriers (OCs) for large-scale application in a mature, chemical looping combustion (CLC) power generation industry. Estimates of cost were made for two production facility scenarios: (1) build and operate an on-site, OC production facility located at a 550 MW CLC power plant site; and (2) build and operate a central production facility to produce and distribute OCs to the U.S. CLC power generation industry. Two OC production techniques were addressed: mechanical mixing and co-precipitation. Representative OCs that have production raw materials with sufficient commercial availability to support a CLC industry are ilmenite, a natural OC, and four engineered OC types, Fe2O3-based, CuO-based, NiO-based, and CuFeAlO4-based, with candidate OC support materials Al2O3 and TiO2. The costs of the OC production raw materials represent the major portion of the OC product cost; the OC production cost, in dollars per kg, has been found to be nearly a linear function of the OC raw materials cost, in dollars per kg. The estimated OC product costs can be used to estimate the maximum OC loss rate yielding a designated CLC power plant cost-of-electricity (COE) target as a development guide, and it has been found that the maximum OC makeup rate, in kg per hour, achieving a designated COE reduction goal relative to a conventional pulverized coal (PC) power plant, will be nearly inversely proportional to the OC production raw materials cost, in dollars per kg.

A Hybrid Algorithm Based on Social Engineering and Artificial Neural Network for Fault Warning Detection in Hydraulic Turbines

Hydraulic turbines constitute an essential component within the hydroelectric power generation industry, contributing to renewable energy production with minimal environmental pollution. Maintaining stable turbine operation presents a considerable challenge, which necessitates effective fault diagnosis and warning systems. Timely and efficient fault w arnings are particularly vital, as they enable personnel to address emerging issues promptly. Although backpropagation (BP) networks are frequently employed in fault warning systems, they exhibit several limitations, such as susceptibility to local optima. To mitigate this issue, this paper introduces an improved social engineering optimizer (ISEO) method aimed at optimizing BP networks for developing a hydraulic turbine warning system. Experimental results reveal that the ISEO-BP-based approach offers a highly effective fault warning system, as evidenced by superior performance metrics when compared to alternative methods.

Experimental analysis of thermal power plant operating Efficiency Improvements

Boiler efficiency "The percentage of the total suction heating value of the output steam to the total supply heating value." The main objective of thermal power plants is to meet the energy needs of the market and meet these requirements; Factories need technical availability with parts reliability and maintenance strategies. The current energy situation in India strongly supports the economic security, stability and future development of the country and the social and economic well-being of the people, all of which depend on the wise use of available domestic resources and imported energy. Increasing energy demand. Our future lies in taking extreme measures to combat energy waste caused by the use of inadequate equipment and poor work practices. The industrial and commercial sector of any economy is its pillar. Since they are the main energy users and are few in number, they are easy to approach and target. Thus, they offer a significant opportunity to save considerable energy in their operations by implementing appropriate energy efficiency measures. However, we must not forget that this is a nursery school for developing energy efficient skills as a nation. Moreover, it should not be forgotten that innovation is the key to growth and success. Therefore, we as a nation must think ahead and quickly to utilize the alternative energy sources that exist in our country to utilize our conventional energy sources and use innovative technologies. It is true that boilers are highly desirable for efficient operation / reducing production costs, saving energy and reducing unwanted emissions. If possible, immediate replacement of inefficient boilers should be considered. Here is a review of the following aspects: · Basic Priority Boiler Efficiency and Area Management · Estimate the energy performance of earth boilers and calculate the efficiency. · Factors affecting boiler efficiency · Identification and rational use of alternative renewable energy sources It contains relevant theoretical material and information and is a practical guide for students to identify and implement energy efficiency and savings opportunities in steam boilers. Our project is concerned with determining the current operating efficiency of boilers and calculating the main losses of boilers in thermal power plants. Then determine the reason for the decline in productivity. It also improves boiler efficiency. Boilers are widely used in power generation, chemical and processing industries. This project attempts to explore available methods to maintain and improve boiler efficiency.

Utilization of coal gangue power generation industry by-product CFA in cement: Workability, rheological behavior and microstructure of blended cement paste

Circulating fluidized bed fly ash (CFA), by-product of coal gangue power generation industry based on circulating fluidized bed combustion technology, differs from ordinary fly ash (OFA) in its physical and chemical properties. This paper aims to investigate the influences of CFA with three particle sizes on the workability and rheological properties of cement paste. The results show that untreated raw CFA (RCFA) can significantly degrade many properties of fresh cement paste. Directly using CFA as a mineral admixture in cement-based materials is not suitable in terms of workability. However, CFA through grinding methods can significantly mitigate the detrimental effect of CFA on the flowability of cement paste. When 15% ultrafine CFA (UCFA) was added, the cement paste exhibited relatively favorable workability and rheological properties. The rheological behavior of cement paste containing CFA with three particle sizes follow the shear thinning, which is in line with the modified Bingham model. Furthermore, the reasons for the impact of CFA on the microscopic level of cement workability are analyzed and discussed. The addition of CFA reduces the amount of free solution in the cement paste, leading to the formation of a flocculated structure and an increase in the thixotropic loop area. Based on the analysis of TOC, BET and TEM, it was determined that numerous polycarboxylate superplasticizer (PCE) molecules are adsorbed onto the rough and porous surface structure of CFA particles, hence the destructive ability of PCE to the flocculation structure caused by cement hydration is weakened. Therefore, the mechanism that CFA affecting the working performance of cement paste can be determined as: the adsorption of free water and PCE molecules.

Study on economical efficiency of ocean energy generation in China

Ocean energy, as a kind of renewable resource, plays an important role in China’s low-carbon development and meeting its goal of “carbon peaking and carbon neutrality”. The paper aims to calculate the cost of ocean power generation in China and make a medium and long-term forecast. Meanwhile, the offshore wind power development experience and the Levelized Cost of Energy (LCOE) cost pricing model is used for analysis and verification. The results shows that it features a high cost without economical efficiency in the initial stage; With the continuous expansion of installed capacity, the cost will be significantly lowered but the economical efficiency is moderate; the cost will fall significantly when the installed capacity reaches to a 100 MW level, and it has strong economical efficiency. The government should provide policy and financial support for ocean power generation industry; enterprises need to strengthen technological innovation and complete the industrial chain to improve the economical efficiency of scale utilization.

Improved RUL Predictions of Aero- Engines by Hyper-Parameter Optimization of LSTM Neural Network Models.

Abstract: In the industry domains such as transportation, power generation and heavy engineering industries utilize complex machinery, as their working principles are very complex and it is very difficult to predict their exact life and operational availability due to difficulties involved in their operations. PHM- Prognostics and health management is one such domain which supports in the management of this machinery also known as assets for continuous monitoring for their best utilization and maximum efficiency. For any machine, the current health of the system can be determined by operational and raw sensor data. This data can also be utilized for the prediction of remaining useful life (RUL) of the system provided a reliable prediction model is available. It is always be challenging to determine the remaining useful life of complex machines such as turbofan jet engines from the knowledge of the data available from operating conditions and sensor data. An HPT LSTM- advanced hyper parameter tuned LSTM- Long Short Term Memory neural network model is developed to accurately determine the remaining useful life of the turbojet fan engines. To test this predictive model, a NASA developed database CMAPSS- Commercial Modular Aero Propulsion System Simulation is used. The performance of this HPT LSTM is found to be much improved as compared to reference machine learning algorithms such as simple linear regression and Lagged Multi- Layer Perceptron Models

Staying Ahead of Threats: A Review of AI and Cyber Security in Power Generation and Distribution

The integration of artificial intelligence (AI) and the Internet of Things (IoT) in the power generation and distribution industry presents opportunities and challenges, particularly in the area of cybersecurity. Previous studies have explored the potential of AI to enhance cybersecurity in power systems, but limitations in terms of sample size and scope have hindered a comprehensive understanding of the current state of the field. To address this gap, this paper presents a systematic literature review of 30 papers that analyzes and categorizes relevant research based on their focus on threats, solutions, and future trends. The results indicate that 30 articles provide evidence supporting the use of AI and machine learning techniques to significantly enhance cybersecurity in the power sector. However, the study also highlights the need for continuous monitoring, threat intelligence, and risk management to stay ahead of evolving threats. Notably, this paper provides novel insights into the use of cybersecurity measures, blockchain technology, and awareness of the impact of AI in the power sector, with 90% of organizations using cybersecurity measures, 50% employing blockchain technology, 20% experiencing a cyberattack, and 60% being aware of the impact of AI. The study's limitations include a lack of detailed information on the organizations studied, such as their size and location, and the absence of a standardized approach to data collection across the selected papers. Nonetheless, this paper offers a valuable contribution to the field of AI and cybersecurity in the power industry by providing a comprehensive overview of the current state of research and identifying key areas for further investigation.

Optimal Strategies of Mitigation Options for NOx Emissions in the Power Generation Industry

AbstractThe power generation sector is considered one of the major contributors to nitrogen oxides (NOx) emissions which have serious impacts on air quality. An optimization model is developed to help decision‐makers determine the best strategy or mix of strategies for the electricity sector to meet a given NOx reduction target and electricity demand at a minimum cost. The model recommended the selective catalytic reduction (SCR) technology to be applied at higher NOx emissions and the reduction reached up to 80 %. This potential option provides promising prospects for NOx emissions control, which is in line with the economic demand for sustainable energy and environmentally friendly technologies.

TECHNOLOGICAL ENERGY CAPACITY OF COMBINED CYCLES OF STEAM GAS STATIONS

Offers a means of increasing the efficiency of the cycle by reducing par asitic loads such as the excess air compressor load and of capturing energy that might otherwise be wasted. However, this is not always the most effective way of increasing overall efficiency of energy conver sion. For large gas turbine based plants in particular, the best way of improving efficiency is to add a steam turbine bottoming cycle, creat ing a combined cycle power plan. A combined cycle plant is simply what its name suggests. Instead of relying on a single thermodynamic cycle to convert energy into electricity the plant uses more than one. These piggy-back one another with the first cycle using the highest temperature thermodynamic working fluid, followed by a second using the intermediate temperature fluid . In fact combined cycle plants with more than two cycles are not used commercially although they are theoretically possible. Much more significant for the modern power generation industry is the addition of a bottoming cycle to a gas turbine power plant. In this case the bottoming cycle is usually a steam turbine cycle, with heat from the gas turbine exhaust exploited to raise steam. This is the most common combined cycle power plant. It would be possible to add a third cycle to exploit the low grade heat remaining after steam generation. This could be achieved with a closed cycle turbine such as an organic Rankine cycle. Such turbines can exploit low grade heat to produce electricity and are used in some geothermal plants where the temperature of the geothermal reservoir is relatively low. However, it is unlikely to be economically viable to add this third cycle to a modern combined cycle plant. To determine the technological energy intensity of such stations, the whole cycle of energy production was considered. The main characteristics of combined cycles are given and the technological energy intensity of energy supply is calculated. The main advantages and disadvantages of these installations are given, and also the comparison of steam turbine and steam and gas stations is made with definition of possible potential at replacement.

Hydrodynamic Analysis Inside a Circulating Fluidized Bed Boiler Based on Time Change Using CFD

The power generation industry has progressively improved the design of power plants to tackle global climate change. Coal-fired power plants will be cleaner and more efficient with the CFB (Circulating Fluidized Bed) technology in the boiler. CFB boilers have the advantage where the resulting carbon dioxide, SOx, and NOx emissions are significantly reduced. This makes research on CFB boilers widely carried out, especially those using CFD (Computational Fluid Dynamic). This study aims to determine the most appropriate turbulence model using CFD simulations on CFB boilers to analyze the hydrodynamic elements in the boiler against time changes, including the distribution of solid volume fractions, pressure, velocity, and wall shear stress. Three turbulence models were tested as part of the simulation: standard , RNG , and RSM, which were then compared to earlier research. The RNG model produces the closest result to the experimental data, with an error value of 6.24%. Solid volume fraction area is increasingly widespread with values ranging from 0.05 to 0.1 from the furnace’s bottom to a height of 15 m. The high-pressure area further expands at the bottom of the furnace to a height of 15 m, with values ​​ranging from 3 kPa to 10 kPa. The outlet line velocity has increased from 43 m/s to 50 m/s. The wall shear stress increases from 0.75 Pa to 1.1 Pa at the outlet wall.

Nonlinear Beamforming Based on Amplitude Coherence Applied to Ultrasonic Imaging of Coarse-Grained Steels

Abstract This paper deals with ultrasonic imaging in a nondestructive evaluation (NDE) context. In particular, we are focused on the inspection of coarse-grained steels having a heterogeneous composition that creates structural noise in the ultrasonic signals and images. The standard way to beamform the acquired ultrasonic data is by delay-and-sum (DAS). This method is fast but suffers from low signal-to-noise ratio (SNR) for coarse-grained steel inspection. In this paper, we propose to adapt a coherence-based beamformer called pDAS from the medical imaging community. pDAS beamforming is based on DAS structure but includes p-root and p-power before and after summations, respectively. It results in an enhancement of the coherent summation of signals that improves both resolution and contrast. Coherence-based beamformers are known to enhance information whose acoustic response correlates with geometrical information, that is why they decrease grating lobes and side lobes, specular echoes, reconstruction artifacts, and noise due to multiple scattering. In this paper, the pDAS beamformer is proposed for two common acquisition schemes employed in NDE that are plane wave imaging (PWI) and full matrix capture (FMC). The beamformers have been efficiently implemented for parallel computing on graphics processing unit (GPU) in a context of real-time imaging and fast part scanning in NDE. First, experimental results are presented from an austenitic-ferritic sample from the power generation industry that contains side drilled holes (SDH) with diameter 0.4 mm at several depths. pDAS (for p from two to three) shows improvements in terms of SNR and resolution compared to standard DAS, both in PWI and FMC modalities. We also show that the computation cost of pDAS is equivalent to DAS. A real application on a sample containing a fatigue crack connected to the backwall is exposed. We show that pDAS beamformer can enhance crack response compared to grains, but it also decreases unwanted information such as backwall specular echoes and reconstruction artifacts.

The interactions between renewable portfolio standards and carbon emission trading in China: An evolutionary game theory perspective

Renewable Portfolio Standards (RPS) and Carbon Emission Trading (CET) are the policy instrument for China to achieve the low-carbon energy transition. Changes in policy combinations will affect the equilibrium state of the interactive system and bring uncertain risks to the expected effects of policy implementation. Given the assumption that the power users undertake RPS assessment and the CET market is extended to industries in addition to the power generation industry, this paper first constructs a game model in the context of RPS and CET where groups of power users and thermal power manufacturers jointly participate. Then, with China's provincial market data, it analyzed the evolution process of group strategy under different policy parameters and described the characteristics of the transition between the stable and unstable states of the system. Finally, a dynamic and differentiated mechanism design for policy parameters is proposed to restrain system oscillations. The simulation results reveal the interaction between market players' strategies, and a quantitative framework for analyzing system stability under different policy parameter combinations is proposed, which can provide an analysis framework for China to implement RPS and CET and deliver a relevant analysis basis for setting policy parameters.

Construction and Environmental Protection Analysis of New Energy Power Generation Projects

With the rapid development of society and the increasing number of infrastructure projects, new huge demand for energy emerges, and, in the meantime, enormous resources are being consumed. Overusing coal, oil, and natural gas consumes resources and increases the greenhouse effect, releasing more toxic substances into the ecological environment. Therefore, in the past development process, the pollution problems caused by projects that relied on fossil fuels as power generation was relatively serious. The traditional energy supply model has yet to meet the requirements of current social development. Along with the emergence of green sustainable development, transformation and upgrading of the power generation industry have become urgent issues to deal with. To effectively solve the problem of environmental pollution and achieve green growth, the current society is actively developing clean and renewable new energy to help the power generation industry develop an energy-saving and environmentally friendly sustainable development model. Among power generation projects, new energy power generation projects play an important role. However, new energy is still developing, so the project investment cost is relatively high. Therefore, it is necessary to improve the construction quality of new energy power generation projects through scientific and effective means to achieve the goal of environmental protection during development.

How to Promote the Application of Biogas Power Technology: A Perspective of Incentive Policy

To combat climate change, the Chinese government has implemented a package of policies to support the development of the biogas power generation industry. However, the promotion of biogas power generation technology in China is relatively slow. Therefore, it is of practical significance to study the promotion of biogas power generation technology against the background of policy support. In order to study the effect of policy on the promotion of biogas power generation technology, a system dynamics model is constructed in this paper. The results show that under the feed-in tariff subsidy policy, biogas power generation technology can be well promoted because it has good economic and environmental effects. In addition, if the biogas power generation technology is considered to participate in carbon emission trading, the carbon price also has a positive impact on the promotion of biogas power generation technology because it increases the perceived economic value of biogas power generation projects. Finally, this study can also provide reference value for the promotion of biogas power generation technology in other areas.

Coupling optimization of hydropower and hydrogen systems considering energy supply safety culture

Abstract Although China's new energy power generation industry has developed, how to efficiently use clean energy and ensure safe supply needs further research. As a clean, pollution-free and high calorific value energy, hydrogen provides a solution for absorbing renewable energy and ensuring the stable operation of the power system. Based on the public goods attribute of system security and system operation behavior, this paper analyzes how to express the cultural value of energy supply security through economic means, and makes configuration adjustment under different interaction modes with the power grid, so as to achieve the effect of energy supply security. A multi-objective planning and operation optimization model is established, and the resource, social, economic and environmental benefits are analyzed. The model is solved by NSGA-II. The results show that the energy waste rate of hydrogen microgrid system can be reduced by 37.16%. The probability of power failure can be reduced to 0. Typical scenarios in both off-grid mode and grid-connected mode can increase economic income. In addition, up to more than 1000 tons of carbon emissions per day could be reduced under a typical scenario.

Evolutionary Game and Simulation Analysis of Power Plant and Government Behavior Strategies in the Coupled Power Generation Industry of Agricultural and Forestry Biomass and Coal

Under the background of “dual carbon”, the coupled power generation of agricultural and forestry biomass (AFB) and coal, as a new path of coal-power transformation, is key to achieving energy conservation and reducing emissions in the power sector. Timely and effective government subsidies as well as regulation policies will play important roles in the development of the coupled power generation industry. Previous studies usually assumed government policy as singular and static, rarely considering the dynamic changes in government policies. In this study, evolutionary game theory and systematic dynamics research methods were combined. The game relationship and the dynamic evolution process of the behavioral strategies of both sides are analyzed through the construction of a mixed-strategies game model of the government and power plants. A system dynamics model is built for simulations based on the results of the dynamic game evolution, and the influence paths of key factors on the behavioral strategies of the government and power plants were further demonstrated. The results indicated the following: (1) The behavioral strategies of the government and power plants were not stable for a long period of time, but fluctuated during their mutual influence. The dynamic policies and measures formulated by the government according to changes in the behavioral strategies of power plants will promote industrial development more effectively. (2) Increasing subsidization and the strengthening of supervision caused by government policy can increase the enthusiasm of power plants to choose the coupled power generation of AFB and coal. (3) If the government improves the benefits or reduces the transformation costs caused by coupled power generation the industry will be fundamentally improved. The results clearly show the interactions as well as adjustment processes of the behavioral strategies of power plants and the government in the coupled power generation industry of AFB and coal, and the specific effects of key factors on the behavioral strategies of power plants and the government were investigated. This study can provide a theoretical basis for the government to formulate reasonable industrial policies and measures for the coupled power generation of AFB and coal, in addition to being a valuable reference for other countries to develop a coupled power generation industry.

Research on adaptive control technology of wind power generation based on AI data mining

This paper introduces the current achievement and control technology of wind power generation industry. By analysing the characteristics and influencing factors of wind power generation, we proposed an ultra-short-term wind power forecasting network structure which can work well in wind power forecasting. Based on the characteristics of the datasets, a variety of mainstream neural network structures are compared, our proposed method is suitable for high volatility series is further developed. The structure integrates CNN, RNN and attention mechanism, which alleviates the problem of prediction curve lag to a certain extent and effectively avoids virtually useless prediction.

Defining long duration energy storage

Accelerating the deployment of variable renewable energy is changing the operational characteristics of the electric grid and creating an emerging need for storage technologies with extended energy-duration capabilities to maintain grid reliability. Extended or “long-duration” energy storage scales for supporting future grids are not well defined but can be anticipated to grow by estimating gaps in renewable performance of a decarbonized grid. Variable generation resources create a mismatch between electricity generation and use; as the amount of variable generation on the grid grows, so too do mismatches. This study reviews current uses of energy storage and how those uses are changing in response to emerging grid needs, then assesses how the power generation industry and academia are defining long-duration storage and organizing research efforts to develop commercial technologies. Using an illustrative example of a decarbonized grid, the study identifies the depth and breadth of future energy mismatches and concludes that two classes of long-duration energy storage will be needed in a decarbonized grid; one class lasting up to 20 h to manage daily cycles and one lasting for weeks or months to manage seasonal cycles. This study elucidates the necessity of long-duration energy storage in a decarbonized grid and may inform long-term planning processes. Grid planners can play an important role in the development of long-duration energy storage technologies through granular identification of storage needs that creates a market signal for investment in and development of the necessary technologies to provide a reliable and resilient grid for the future.

The Structure, Property, and Ion Irradiation Effects of Pyrochlores: A Comprehensive Review

Since the beginning of the use of nuclear energy, humans have been faced with the problem of radionuclide disposal. At present, a large amount of waste is stored in pools or dry tanks at reactor sites. With the development of the nuclear power generation industry worldwide, the high storage cost (including building, maintaining, and operating storage pools) is overwhelming and serious, and urgent radionuclide disposal problems have become increasingly difficult. Safe and economical strategies are urgently needed for long-term storage and disposal of nuclear waste, which has become among the core issues in the utilization of nuclear energy. Pyrochlore ceramics are able to immobilize a variety of radionuclides and have excellent irradiation stability, so they have received extensive attention as hosts of radionuclides waste. This review summarizes the structure, composition, synthesis process, properties, and irradiation stability of pyrochlore ceramics, focusing on the ion irradiation effect of pyrochlore. In general, the cation radii ratio rA/rB is a key parameter related to various properties of pyrochlores. Zirconate pyrochlore is more easily transformed from pyrochlore to defective fluorite, and leads to better irradiation resistance.

Application of Cement-Based Materials as a Component of an Engineered Barrier System at Geological Disposal Facilities for Radioactive Waste—A Review

Over the past several decades, the international community has been actively engaged in developing a safe method for isolating spent nuclear fuel, high and intermediate level radioactive wase of different degrees of heat generation in deep geological formations on the basis of regulatory requirements existing in each individual country (for example, in the Russian Federation-NP-055-14). Such a storage facility should be equipped with an engineered safety barrier system that combines a range of materials capable of ensuring the safe localization of environmentally and health-threatening nuclear power generation industry and the nuclear industry waste products, in particular. On the basis of the international experience discussed in this article on the design and operation of such facilities, the most universal material in terms of the functions performed as a component of the engineered barrier system is cement and the cement-based product mixed with various components—concrete. Furthermore, due to the possible mutual influence of buffer materials and their transformation over time at interfaces, this work considers the impact of cement-based barriers on other components of engineered barrier systems, the information on which has been accumulated as a result of both analytical laboratory tests and in situ radioactive waste disposal facilities under construction.