Power Engineering Research Articles

TLBO trained an ANN-based DG integrated Shunt Active Power Filter to Improve Power Quality

In terms of power quality, the rising number of nonlinear loads in modern use has caused warning signs for power system and power engineering professionals. Every day, utilities have to deal with harmonic distortion caused by a growing number of non-linear power electronic equipment. To keep the system's power supply in good condition, a shunt active filter is used to filter out unwanted harmonics in the signal. This study presents a practical and low-cost method for reducing harmonics and enhancing distribution network power quality by means of the use of PV-integrated Shunt Active Power Filters (SAPF). With a teaching-learning-based optimized artificial neural network controller (TLBO-ANN) and the required DC power is extracted from the PV module. SAPF's TLBO-ANN algorithms are intended to increase system performance by reducing total harmonic distortion (THD). Here, the research work was performed in three stages to mitigate grid current harmonics. The first-stage SAPF system comprises a three-prong voltage source converter and uses DC power derived from photovoltaic panels. The P&O algorithm is used to get the maximum power out of a photovoltaic array. In the second stage, the BBO algorithm is used to fine-tune a conventional PI controller, resulting in values for and that increase the controller's performance. Furthermore, it is intended to use the BBO-PI controller's input and output values as training data for the ANN controller. This ANN controller is currently being tuned with the TLBO algorithm to find optimal values for the weight and bias parameters. In the third stage, the converter in PV-SAPF will inject the active power required by the load by using active current control theory, which means the inverter of SAPF is working like DG as well as the active power filter. Employing MATLAB simulations, we concluded that the proposed method is extremely adaptable and highly efficient in lowering harmonic currents that are brought on by non-linear loads.

Intelligentization helps the green and energy-saving transformation of power industry-evidence from substation engineering in China

The coordinated development of intelligence and greening is an intrinsic demand for high-quality economic and social development. Intelligentization and greening are the leading directions of sustainable development of the power industry. This paper directs of sustainable development of the power industry. This paper empirically analyzes the effect and mechanism of intelligence on the green environmental friendliness of electric power substations by using a panel fixed-effects model and instrumental variable regression, using substation engineering data from China southern power grid during 2013–2022. It is found that the level of intelligence significantly promotes the green performance of substation projects, and this conclusion still holds after a series of robustness tests. Intelligence can reduce material waste and pollutant emissions by improving the engineering environmental monitoring capability and the refinement of engineering resource control, thus improving the environmental friendliness of the project. The research in this paper helps to promote the integrated development of intelligent and green power engineering, to better achieve economic and green goals.

Effect of Variable-Nozzle-Turbocharger-Coupled Exhaust Gas Recirculation on Natural Gas Engine Emissions and Collaborative Optimization

Equivalent combustion natural gas engines typically utilize exhaust gas recirculation (EGR) systems to tackle their high thermal burden and NOx emissions. Variable nozzle turbochargers (VNT) can increase the engine intake and EGR rate simultaneously, resulting in NOx reduction while ensuring robust power performance. Using a VNT along with engine bench testing, the impact of VNT- and EGR-coordinated control on the performance and emissions of equivalent combustion natural gas engines was investigated under different operating conditions. Subsequently, multi-objective optimization was performed using a support vector machine. The results demonstrated that the use of VNTs in equivalent combustion natural gas engines could bolster the capacity to introduce EGR under several operative conditions and extend the scope of EGR regulation, thereby decreasing the engine’s thermal burden, improving fuel efficiency, and curbing emissions. Owing to the implementation of a multi-objective optimization method based on a support vector regression model and NSGA-II genetic algorithm, VNT and EGR control parameters could be optimized to slightly improve the economy and significantly reduce NOx emissions while maintaining the original engine power performance. At 20 operating points optimized for validation, brake-specific fuel consumption (BSFC) and NOx decreased by 0.94% and 47.0%, respectively, and CH4 increased by 3.7%, on average.

The Method of the Probability Analysis of Area with Dissolved Gases in Power Transformer Insulating Oil

Transformer insulating oil plays an extremely important role in power transformers and is used for insulation, arc suppression, cooling and other purposes. However, its other focus is on dissolved gases analysis in the oil to monitor internal operating conditions, which is the responsibility of preventive maintenance. This paper uses the normal distribution theory and the American National Standard Specification (hereinafter referred to as ANSI/IEEE C57.104) to reorganize as a diagnostic tool. The range of each gas from three stages of the specification - normal, caution, and abnormal are incorporated to a stage of abnormal, which divide into equal different values of 1000 as the maternal body of a qualitative normal distribution. Then the benchmark is been calculated from those parameters of a qualitative normal distribution. The data of detection has to pass through "Gas chromatography” to generate dissolved gases. At last, the benchmark value compares with dissolved gases to find the abnormal probability value as a diagnostic tool in maintenance evaluation of equipment. This method was developed using EXCEL application software, and repeatedly tested and verified with examples to confirm its feasibility and high accuracy. In addition, 10 cases accident data were extracted from the literature [11], and compared with the actual maintenance results. The accuracy was 80% for ANSI/IEEE C57.104 and 90% for this probability method. Therefore, this diagnostic method can replace the traditional multi-stage judgment and be represented by a single probability value to show. Based on technology sharing, the development process is specially written into a technical article as reference by scholars and electrical maintenance personnel in the field of power engineering.
 Design Methods: Making a qualitative normal distribution employs EXCEL software and the discriminative rule of ANSI/IEEE C57.104. Design Purpose: As a diagnostic tool with dissolved gases in insulating oil. Design Effectiveness: Probability Method is better than traditional; it has those efficacies - the accuracy and feasibly and compete with tried and tested actual case.

Числовий аналіз впливу стрічкових включень на концентрацію напружень в тонких циліндричних і конічних оболонках з прямокутними отворами

Thin-walled plate-shell structures are widely used in various branches of technology and the national economy, in particular in the aerospace industry, the oil and gas industry, power engineering, construction, etc. The continuity of such structures is often disrupted by various inhomogeneities in the form of openings, inclusions, recesses, cracks, etc., which are local stress concentrators. Reducing the concentration of the stresses that develop in the vicinity of such structural inhomogeneities is an important problem in deformable solid mechanics. In particular, a pressing problem in the design of new equipment in modern mechanical engineering is a significant reduction in material consumption and an increase in the service life of cast parts taking into account the use of new materials and technologies. Such parts are responsible for the competitiveness of new equipment for various industries. This paper presents the results of a numerical simulation and analysis of the stress and strain field of thin-walled cylindrical and truncated conical shells with rectangular openings and tape inclusions around them. The material of the inclusions has properties that differ from those of the base material of the shells. The effect of the geometrical and mechanical characteristics of the inclusions on the parameters of the stress and strain field in the vicinity of the openings was studied by varying the elastic modulus of the inclusion material and the inclusion width. For definiteness, the inclusions were assumed to be homogeneous and located in the shell plane. The stress and strain intensity distributions in the zones of local stress concentration were obtained. The numerical results for shells of both shapes were compared with the corresponding results for shells with a circular opening. The study showed that the presence of a “soft” homogeneous tape inclusion helps in reducing the stress concentration around rectangular openings by ~ (21 – 54) % depending on the width of the inclusion and its elastic modulus, both in cylindrical and in conical shells. Unlike shells with a circular opening, in this case the presence of inclusions does not cause the mechanical effect of shifting the stress concentration zone from the contour of the opening to the interface between the materials.

Enhancing the performance of syngas-diesel dual-fuel engines by optimizing injection regimes: From comparative analysis to control strategy proposal

This study introduced an innovative technology of syngas direct injection through the twinning injector system. This technology can simultaneously adjust the equivalence ratio and the mass of fresh gas, for a syngas-diesel dual-fuel engine converted from a conventional diesel engine. The current work was carried out in two stages, in which the evaluation of engine performance and mixture formation under two various syngas injection strategies such as the port-premixed mixture method and the direct injection method were examined in the first stage. In the second stage, the load control strategy of the syngas-diesel dual-fuel engine, which aims to attain low greenhouse gas emissions and maintain output power, was thoroughly presented. The results revealed that the syngas direct-injection strategy significantly influences the power derating of the dual-fuel engine at a fixed pilot diesel injection. Indeed, when the stop injection angle was held constant at 270°CA, the power derating of the dual-fuel engine increased from 3.78 % to 22.74 % as the start injection angle was increased from 60 °CA to 100°CA, implying that this injection strategy could be suitable for dual-fuel engines with a minor variation in their loading regime. Nonetheless, when the start injection angle was fixed at 60 °CA, the derating power of the dual-fuel engine increased from 7.41 % to 27.84 % as the stop injection angle was advanced from 280 °CA to 220 °CA, showing that this injection strategy was better suited for dual-fuel engines that experienced larger variations in their loading regime. Direct injection of syngas using the twinning injector system at an injection pressure of 6 bar, in conjunction with a suitable start/stop injector strategy, constitutes an appropriate solution for maintaining power derating in syngas-diesel dual-fuel engines below an acceptable threshold of 10 %.

Визначення параметрів вібрацій космічного апарата на активній ділянці польоту ракети-носія на основі вогневих випробувань рiдинного ракетного двигуна

In orbital injection, the launch vehicle (LV) structure and the spacecraft are subjected to extreme dynamic loads, in particular to vibroacoustic loads (from rocket engine thrust oscillations and aerodynamic loads), which may cause spacecraft instrumentation malfunction and damage spacecraft light-weight thin-walled structures. This paper is dedicated to the development of an approach to predicting dynamic loads on spacecraft in orbital injection by LVs of various layouts under propulsion system thrust oscillations in active flight. The paper presents an approach to predicting dynamic loads on spacecraft in orbital injection by LVs of various layouts. The approach makes it possible to evaluate dynamic loads (spectral densities of vibration accelerations) on spacecraft under propulsion system thrust oscillations acting on the liquid-propellant LV structure in active flight. The approach includes a mathematical simulation of the spatial oscillations of the LV structure according to its structural layout scheme and the experimental pre-determination of the spectral density of the rocket engine power. The workability of the proposed approach in predicting the spacecraft dynamic loads is demonstrated by the example of a computational analysis of the spectral densities of spacecraft oscillations in orbital injection by LVs of various structural layouts. It is shown that the approach allows one to predict, as early as at the initial LV design stage, the spacecraft vibratory load parameters at different times of the LV first-stage liquid-propellant rocket engine operation accounting for the rocket layout (with the spacecraft) and design features and using the vibroacoustic characteristics of the liquid-propellant rocket engine (known from the results of its fire tests).

Research on Energy Management Strategy for Series Hybrid Tractor under Typical Operating Conditions Based on Dynamic Programming

In response to the issues of hybrid tractors’ energy management strategies, such as reliance on experience, difficulty in achieving optimal control, and incomplete analysis of typical operating conditions of tractors, an energy management strategy based on dynamic programming is proposed in combination with various typical operating conditions of tractors. This is aimed at providing a reference for the modeling and energy management strategies of series hybrid tractors. Taking the series hybrid tractor as the research object, the tractor dynamics models under three typical working conditions of plowing, rotary tillage, and transportation were established. With the minimum total fuel consumption of the tractor as the optimization target, the engine power as the control variable, and the state of charge of the power battery as the state variable, an energy management strategy based on a dynamic programming algorithm was established and simulation experiments were conducted. The simulation results show that, compared with the power-following energy management strategy, the energy management strategy based on the dynamic programming algorithm can reasonably control the operating state of the engine. Under the three typical working conditions of plowing, rotary tillage, and transportation, the battery SOC consumption increased by approximately 8.37%, 7.24%, and 0.77%, respectively, while the total fuel consumption decreased by approximately 25.28%, 21.54%, and 13.24%, respectively.

Preface: 8th International Conference on Environmental Science and Material Application (ESMA 2024)

The organizing committee is proud to present the proceedings of the 2024 8th International Conference on Environmental Science and Material Application (ESMA 2024), held in Lisbon, Portugal during February 03-04, 2024. We warmly welcome prospected authors submit new research papers to ESMA 2024, and share the valuable experiences with the scientist and scholars around the world. The conference is an international forum for the presentation of technological advances and research results in the fields of natural resources, environmental science, environmentally friendly materials, green energy and power engineering. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. By submitting a paper to ESMA 2024, the authors agreed to the review process and understood that papers would undergo a peer-review process. Manuscripts were reviewed by appropriately qualified experts in the field selected by the conference committee, who took detailed comments and the authors would submit a revised version that took into account this feedback. All papers were reviewed using a double-blind review process: authors declared their names and affiliations in the manuscript for the reviewers to see, but reviewers did not know each other's identities, nor did the authors receive information about who had reviewed their manuscript. The committees of ESMA 2024 invested great efforts in reviewing the papers submitted to the conference and organizing the sessions to enable the participants to gain maximum benefit. We do believe your great participation will make our conference success and we would appreciate your participation. With our warmest regards, Conference Organizing Chair Lisbon, Portugal

Experimental Study of the Performance of Turbo-Charged Gasoline Direct-Injection Engine Based on Different Pre-Chamber Structures

In this paper, in order to improve the fuel economy of the actual application of the engine under multi-operating conditions, an experimental study is carried out on a turbo-charged direct-injection engine based on different pre-chamber structures. The engine used for the study is a four-cylinder turbo-charged direct-injection gasoline engine with different structures of pre-chamber spark plugs. The operating conditions in this study include load characteristics at 2000 r/min and characteristic loads at different speeds, including 3000 r/min, 3200 r/min, and 3600 r/min. With stable BMEP or fully open throttle and pedal, the experiment was conducted by the spark angle scanning method to collect data of engine power, economy, and emission under each condition. It was found that the pre-chamber structure has a direct effect on engine performance, with a clear load demarcation line for its effect. Under the WOT condition, the power of pre-chamber ignition is 1.6% higher than that of conventional spark plugs; at the low load of 2 bar, the economy of pre-chamber ignition is degraded by 6%; at the medium load of 8 bar, the economy of the two is comparable; at the large load of 16 bar, the fuel economy proves advantageous. Compared with conventional spark plugs, the pre-chamber spark angle can be advanced by 2~3 °CA, and the pre-chamber ignition with separate ground electrodes is highly reliable. The emission levels of the pre-chamber spark plugs and conventional spark plugs are comparable at all loads.

Institutional barriers to the development of small-scale power generation in Russia

The energy strategy of Russia involves a transition to a diversified energy generation characterised by a structural diversity of plant types, as well as the use of small-scale energy technologies. The purpose of the study is to identify the barriers that hinder the implementation of small-scale power generation in the Russian Federation and justify the avenues for its development. Methodologically, the paper relies on the systems approach. Methods of content and logical structural analysis, in-depth interviews are applied. The empirical evidence comes from analytical reports, normative and legal documents, as well as results of surveys of 96 specialists in the field and heads of power plants and power engineering enterprises conducted during 2021– 2023. The findings indicate there are four groups of problems in the Russian energy system: technological backwardness; difficulties with integration of small-scale power generation facilities into the energy market; absence of state support mechanisms; surplus of power generation capacity. Accordingly, the paper provides recommendations for overcoming them, in particular, it is necessary to introduce mechanisms for the support of small-scale power engineering and integration with engineering and consultancy companies, as well as make use of energy service agreements; second, to introduce standards for connecting small-scale power generation facilities, develop guidelines for designing and commissioning them; third, to amend tax regulations and learn from successful foreign experience; fourth, to replace retired power generation equipment with new small-scale power generation facilities located closer to load centres. The theoretical significance of the research is linked with detailing the concept “small-scale power generation” as a segment of energy sector as well as its structure in relation to the Russian Federation, specifying classification characteristics of low-capacity power units. The findings are practically valuable for government authorities, power generation enterprises and equipment manufacturers due to the developed organisational and methodological guidelines.

Review of Power Supply and Distribution Construction Technology for Highway Electromechanical Engineering

In recent years, China has made significant progress in the construction of highways, resulting in an improvedhighway network that has provided robust support for economic and social development. However, the rapid expansion of highway construction, power supply, and distribution has led to several challenges in mechanical and electrical engineering technology. Ensuring the safe, stable, and cost-effective operation of the power supply and distribution system to meet the diverse requirements of highway operations has become a pressing issue. This article takes an example of a highway electromechanical engineering power supply and distribution construction project to provide insight into the construction process of highway electromechanical engineering power supply and distribution technology.

Assessing viability of processing ash and slag dumps for energy-efficient ash beneficiation at Magadan CPP

Complex processing of ash and slag waste is a supported directions for the development of environmental friendliness and performance in power engineering. The rational use of this waste in large-scale production processes has now been realized in the construction field. The development of up-to-date beneficiation technologies raises the possibility of extracting various useful components from ash and slag wastes. This study aims to investigate the potential for using energy-efficient ash beneficiation to produce a heavy metal-containing fraction and separate the magnetic fraction. To assess the feasibility of ash beneficiation and its rational use, the technical documentation of ash and slag dumps of PJSC “Magadanenergo” was studied, and semi-quantitative analyses of samples collected from these dumps were carried out. The data on the content of useful components and quantities of ash and slag enabled us to develop complex beneficiation flow sheets, assess their process efficiency, and evaluate their potential financial viability. The estimated volume of metals to be recovered includes 785 tons of Ti (me-1), 183 tons of Sr (me-2), and 4,867 tons of Fe (me-3). The performance indicators of the beneficiation and aggregated values of economic indicators for this project implementation on an industrial scale were calculated. The economic feasibility of the ash processing project showed good values for two out of three models over a ten-year planning horizon. Implementing the project also effectively improves the environmental situation by potentially processing up to 10% of the total volume of ash dumps, fulfilling one-fifth of the Energy Strategy of the Russian Federation’s requirements until 2035. While investigations of ash from the Magadan Cogeneration Power Plant (MCPP) are not new, they were not previously carried out within the framework of studying integrated processing of ash to obtain various useful components.

Parametric analysis and optimization of the combustion process and pollutant performance for ammonia-diesel dual-fuel engines

As a low-cost, carbon-free, and widely available hydrogen carrier fuel, ammonia has now regained peoples’ attention in the future development of the carbon-neutral engine. To evaluate the feasibility of ammonia as a carbon-reducing fuel for a high-power diesel engine, a computational fluid dynamics simulation model of a Caterpillar 3401 diesel engine has been established and validated. Initially, an analysis was conducted to examine the effects of different ammonia energy fractions on combustion and the generation of emissions. Subsequently, to address issues related to incomplete ammonia combustion and a decline in engine power performance, a novel fuel injection strategy was developed. This strategy optimizes the distribution of diesel within the combustion chamber and the combustion process of ammonia-diesel dual-fuel by coordinating the injection timing of diesel fuel with the injection angle. The results indicate that an ammonia energy fraction of 40% is deemed to be an optimal mixing ratio for ammonia addition. Compared with pure diesel mode, greenhouse gas emissions are reduced by 34.3%, and the indicated mean effective pressure is only reduced by 4% when the ammonia energy fraction is 40%. Collaborative optimization of fuel injection timing and angle can achieve multi-point pilot ignition, shorten the combustion duration, and thus approach the effect of premixed combustion. This leads to a substantial decrease in unburned ammonia emissions, with the optimal unburned ammonia emission injection scheme registering only 0.279 g/kW·h, a mere 1.63% of the emissions under the original injection scheme with a 40% ammonia energy fraction. Additionally, the rapid combustion contributes to an increase in in-cylinder temperature, resulting in a significant reduction in N2O and CO emissions.

Combustion of gasoline with oxygen-containing and nano-additives: An experimental study, modeling, optimization, and analysis survey

BackgroundPollutants emitted from fuel combustion have become a global concern, prompting researchers to explore solutions like fuel formulation modification. MethodsThis study delved into enhancing gasoline fuel performance and octane number by incorporating varying proportions of 2-methyl-1-propanol, bioethanol, MTBE additives, tert‑butanol, and nanoparticles (ZnO, ZrO2, and CNT). These compositions underwent assessment at different engine loads and speeds. Vapor pressure, a fundamental property of gasoline that signifies its volatility, was examined. Despite the utilization of diverse additives and enhancers, their impact on vapor pressure was minimal at relatively low concentrations. Significant findingsAs a result, flash point, octane number, and engine performance were evaluated for the developed fuels. The findings unveiled improved engine performance coupled with reduced emissions. The octane number demonstrated enhancement, approaching gasoline's, while the combustion point remained similar. Notably, pollutant levels exhibited significant reduction.When comparing gasoline fuel at an engine speed of 1500 RPM and a throttle opening of 30 % with gasoline mixed with 2-methyl-1-propanol alcohol, MTBE, and zirconium dioxide under identical conditions, the results showed a reduction of 82.8 % in carbon monoxide emissions, carbon dioxide decreased by 54.05 %, unburnt hydrocarbons decreased approximately by 42.42 %, nitrogen oxides reduced by 22.97 %, engine power increased by 0.5 %, torque increased up to 164 %, and the octane number increased by 7.03 %.

Имитационная модель поезда для учета влияния ветровых нагрузок

Objective: this article is devoted to the problem of regulation of fuel resources for train traction in the presence of variable factors affecting consumption. As an example, the wind-dependent section of the Privolzhskaya railway Pallasovka–Verkhniy Baskunchak was considered, using simulation modeling, the presence of the influence of variable factors on fuel consumption, which are often standard-setting. To propose a methodology for their practical accounting in locomotive depots. Methods: the article proposes a train simulation model to take into account the influence of wind loads. For this purpose, the traction electric drive of a diesel locomotive with direct-alternating current transmission was presented as a speed controller that maintains the movement of the train at a constant speed equal to the technical average. To determine fuel consumption in order to determine the reliability of the results obtained and the possibility of comparison with experimental statistical values, the electromechanical characteristics of the ED133 traction motor, the GS501 generator and the operational characteristics of the D49 diesel engine were used. Results: as a result of modeling the operation of the diesel locomotive power plant, the values of absolute and specific fuel consumption were obtained. The results obtained have a high degree of reliability, as evidenced by earlier statistical data. Practical significance: the results obtained once again demonstrated the influence of wind on train traction, and on wind-dependent sections of railways they are standard-forming. The considered model can be applied for the purpose of rationing the consumption of fuel and energy resources in the presence of variable factors affecting consumption.

Price prediction of power transformer materials based on CEEMD and GRU

The rapid growth of the Chinese economy has fueled the expansion of power grids. Power transformers are key equipment in power grid projects, and their price changes have a significant impact on cost control. However, the prices of power transformer materials manifest as nonsmooth and nonlinear sequences. Hence, estimating the acquisition costs of power grid projects is difficult, hindering the normal operation of power engineering construction. To more accurately predict the price of power transformer materials, this study proposes a method based on complementary ensemble empirical mode decomposition (CEEMD) and gated recurrent unit (GRU) network. First, the CEEMD decomposed the price series into multiple intrinsic mode functions (IMFs). Multiple IMFs were clustered to obtain several aggregated sequences based on the sample entropy of each IMF. Then, an empirical wavelet transform (EWT) was applied to the aggregation sequence with a large sample entropy, and the multiple subsequences obtained from the decomposition were predicted by the GRU model. The GRU model was used to directly predict the aggregation sequences with a small sample entropy. In this study, we used authentic historical pricing data for power transformer materials to validate the proposed approach. The empirical findings demonstrated the efficacy of our method across both datasets, with mean absolute percentage errors (MAPEs) of less than 1% and 3%. This approach holds a significant reference value for future research in the field of power transformer material price prediction.

USE of Thermal Power Engineering Waste to Reduce the Average Density of Ceramic Wall Materials with a Matrix Structure

It has been presented the results of studies on reducing the average density of ceramic wall materials through the use of ash granules. The chemical, granulometric, and mineral compositions of clay raw materials and fly ash are given. It has been considered the compositions of ceramic charges with different contents of thermal power waste and sample preparation techniques. In the first case, mechanical mixing of the charge components was used, in the second case, granulation of the components and creation of a shell on the surface of the granules was used. The physical and mechanical properties of ceramic samples produced by both methods are presented. It has been established that an increase in the fly ash content in the charge leads to a decrease in the average density and compressive strength of ceramic samples. The use of the developed method for producing ceramic materials increases the strength characteristics of the samples, which makes it possible to increase the content of the ash component to 70–80 wt. % in the composition of the charge. It has been shown that the content of fly ash in the charge is more than 60 wt. % leads to an increase in water absorption of more than 20%, which practically indicates the absence of sintering processes in ash granules. Prospects and main directions for further research are formulated.

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.

Use of Industrial Waste to Improve the Performance Properties of Ceramic

Industrial waste, with an in-depth study of its resource capacity, physico-chemical and technological properties, is a valuable raw material for construction ceramics. The possibility of replacing high-quality clays in technologies for producing clarified ceramic bricks and effective wall ceramics using high-calcium waste generated during water purification by liming in thermal power engineering, chemical and other enterprises has been established. The obtained physicochemical patterns of formation on their basis of the structure and properties of a ceramic composite provide a scientific basis for the use of typical waste, in these studies, dust from electric precipitators of cement production. The role of aluminum-containing waste generated during the electrolysis of molten aluminum in regulating the technological properties of the masses and firing properties of clinker bricks has been revealed, which allows the use of low-grade clays for its production. Scientific research and recommendations on the use of various industrial wastes not only for the purpose of recycling, but also for the use of their valuable properties associated with the chemical composition, behavior in heat treatment, reactivity, the possibility of strengthening due to the formation of a controlled structure of the material, help slow down the process of decline reserves of high-quality clay raw materials.