Artículos de revistas: "Electric power consumption"

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Milivoj Mandić, Ivo Uglešić, and Viktor Milardić. "ELECTRIC RAILWAY POWER CONSUMPTION." Journal of Energy - Energija 58, no. 4 (September 16, 2022): 384–407. http://dx.doi.org/10.37798/2009584306.

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The electric railways is a specific consumer of the electric power system. For the purpose of using electric energy rationally and making adequate savings, efforts are made to optimize electric energy consumption of electric trains and other electric railway facilities. The work shows the train movement simulation algorithm which serves to determine primarily the mechanical and then also the electric power required for traction. The sections of the electrified tracks are supplied from the electric traction substation (TS) and, for the requirements of the electric traction calculation, an electric network is formed. Based on the maximum time table for a certain time period, calculation is done of the electric circumstances; electricity, voltage, electric power, as well as the total consumed electric energy. For the determination of the electric energy supply of the traction unit, movement resistances of the certain train on each section need to be calculated. Input data necessary for such a calculation are the tracks profile parameters, planned movement speeds on certain sections, and the properties of the train and the locomotive. Besides the train movement simulation model, the article also shows the analysis of impact factors on the electric energy consumption for the electromotor train which travels the Croatian suburban rails. The results are obtained by the train movement simulation algorithm, by virtue of which the locations of trains are calculated, as well as their mechanical and electric powers necessary for traction. The particular example of the supply of the existing SS serves for comparing the results obtained by electric traction calculation and measurement. Some of the results are given of the electric traction simulation for the Zaprešić SS at the supply of the suburban Podsused factory − Samobor − Bregana which is planned for construction.

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2

Han, Oakyoung, and Jaehyoun Kim. "Uncertainty Analysis on Electric Power Consumption." Computers, Materials & Continua 68, no. 2 (2021): 2621–32. http://dx.doi.org/10.32604/cmc.2021.014665.

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3

Sablin, O. I. "THE ADDITIONAL PULSATION POWER LOSS IN POWER CHAINS OF XPS DC." Science and Transport Progress, no. 18 (October 25, 2007): 38–40. http://dx.doi.org/10.15802/stp2007/17437.

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Results of researches are stated in article specifying on consumption of inactive jet capacity by the electric rolling stock of a direct current. It is shown, that this consumption brings to additional loss of electric power.

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4

N’Zué, Felix Fofana. "Is There a Relationship between CO2 Emissions by Sources, Electricity Consumption and Economic Growth in Côte d’Ivoire? Evidence from an ARDL Investigation." International Journal of Economics and Finance 14, no. 7 (June 25, 2022): 28. http://dx.doi.org/10.5539/ijef.v14n7p28.

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This paper investigates the impact of different sources of CO2 emissions together with electric power consumption on per capita GDP in C&ocirc;te d&rsquo;Ivoire with data ranging from 1970 to 2019. We found cointegration relationships between per capita GDP and the variables of interest. CO2 emissions, CO2 emissions from liquid fuel consumption, electric power consumption and investment have positive impact on per capita GDP. A simultaneous increase of electric power consumption and CO2 emissions in the long run has a negative impact on per capita GDP. Causality runs from CO2 emissions, electric power consumption and investment to per capita GDP. In the short run, electric power consumption positively impacts per capita GDP. Labor force has a negative impact on per capita GDP. Causality runs from electric power consumption to per capita GDP. Similar results are obtained when CO2 emissions from liquid fuel consumption are used in place of global CO2 emissions.

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5

Karpenko, Sergey, and Nadezhda Karpenko. "Analysis and modeling of regional electric power consumption subject to influence of external factors." Energy Safety and Energy Economy 3 (June 2021): 12–17. http://dx.doi.org/10.18635/2071-2219-2021-3-12-17.

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Electric power consumption along with a large variety of factors affecting it can be forecasted and modelled by using econometric forecasting methods, including time series and correlation and regression analysis. For the purpose of this research, electric power consumption in the Moscow Region, Russia, was modelled with consideration of economic and climate factors based on 2019–2020 power usage data. A multiplicative model for regional electric power consumption and correlations between electric power consumption and an air temperature as well as a total number of cloudy days a month were built. The results will be helpful for analyzing and forecasting of processes involved in power consumption.

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6

Buyalsky, V. I. "Mathematical Modeling of Wind Turbine Process Condition at Electric Power Distribution in Northern Regions with Regard to Increasing the Number of Power Units for Each Consumption Object." Intellekt. Sist. Proizv. 23, no. 1 (April 1, 2025): 26–33. https://doi.org/10.22213/2410-9304-2025-1-26-33.

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The analysis showed that efficient wind power plant control based on mathematical modeling ofwind turbine process condition at electric power distribution to consumers in northern regionswithwind turbinelimited quantity (one unit of equipment) for each consumption object does not provide necessary electric power volumes. It is defined, to provideeach consumer withnecessary electric power volumes the approach ofefficient wind power plant control on the basis of mathematical modeling with regard to wind turbine process condition is relevant when distributing electric power to consumers in northern regionsand increasing the number of power units for each object of consumption. The description of an equipment condition equation (wind turbine, electric powerstorage system) is performedunder redistribution to the first, second, third or fourth technological processes ofelectric power production taking into account theincreasing number of power units for each consumption object. The description of wind turbine process condition equation, defining theelectric power volume produced for each consumer on the basis of dynamic pattern volume of electric power demanded to consumption object as a result of producedelectric power volume recording to a certain time step taking into account theincreasing number of power units for each consumption object is performed. To fix the idle time for an equipment unit (wind turbine, electric powerstorage system) due to redistribution, repair or a weak/strong wind taking into account the increasing number of power units the description of the idle time equation of all equipment is made for each object of consumption. To change the value of indexes Si, defining power unit loading and electric power storage system, characterizing a technological process being a part of wind turbine process condition mathematical model scoping the produced electric power for each consumer, the equation description taking into account the increasing number of power units to consumption object is made.

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7

Luqman, Hwayyiz Asaad. "Rationalization of Electric Consumption." Rationalization of Electric Consumption 9, no. 1 (February 15, 2024): 5. https://doi.org/10.5281/zenodo.10664108.

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The production of electrical energy is a complex process and consists of several stages, starting with generating stations, power lines, and transmission stations, and ending with low-voltage distribution networks. Therefore, the cost of producing electrical energy is very high. For this reason, it is necessary to find ways to rationalize consumption so that it benefits the consumer first through a decrease in the electricity bill and thus leads to a decrease in the load on the electricity networks.  

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8

Park, EungSuk, BoRam Kim, SooHyun Park, and Daecheol Kim. "Analysis of the Effects of the Home Energy Management System from an Open Innovation Perspective." Journal of Open Innovation: Technology, Market, and Complexity 4, no. 3 (August 3, 2018): 31. http://dx.doi.org/10.3390/joitmc4030031.

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The Home Energy Management System (HEMS) is a system for the efficient electric power consumption of each household. It can provide real-time electricity cost information according to electricity consumption, and households can immediately control their consumption of electricity. In this study, we analyzed the effects of the HEMS on the stability of demand for electric power. To do this, we analyzed the causal relationship between the amounts of electric power generation and consumption, from the system dynamics perspective. From the analysis, we found that in the current structure, the fluctuation of the quantity of demand became large due to the time delay in households recognizing the electric bill and adjusting their electric power consumption. However, when the HEMS was introduced, it could be seen that electric power demand remained stable since consumers could see their electricity bill in real-time and could manage their electricity consumption by themselves.

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9

Naumov, I. V., D. N. Karamov, A. N. Tretyakov, M. A. Yakupova, and E. S. Fedorinova. "Asymmetric power consumption in rural electric networks." IOP Conference Series: Earth and Environmental Science 677, no. 3 (March 1, 2021): 032088. http://dx.doi.org/10.1088/1755-1315/677/3/032088.

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10

Beliaeva, Nataliia, Anton Petrochenkov, and Korinna Bade. "Data Set Analysis of Electric Power Consumption." European Researcher 61, no. 10-2 (September 15, 2013): 2482–87. http://dx.doi.org/10.13187/er.2013.61.2482.

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11

Hasan, Maha Yousif, and Dheyaa Jasim Kadhim. "A new smart approach of an efficient energy consumption management by using a machine-learning technique." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 1 (January 1, 2022): 68. http://dx.doi.org/10.11591/ijeecs.v25.i1.pp68-78.

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Many consumers of electric power have excesses in their electric power consumptions that exceed the permissible limit by the electrical power distribution stations, and then we proposed a validation approach that works intelligently by applying machine learning (ML) technology to teach electrical consumers how to properly consume without wasting energy expended. The validation approach is one of a large combination of intelligent processes related to energy consumption which is called the efficient energy consumption management (EECM) approaches, and it connected with the internet of things (IoT) technology to be linked to Google Firebase Cloud where a utility center used to check whether the consumption of the efficient energy is satisfied. It divides the measured data for actual power (A_p ) of the electrical model into two portions: the training portion is selected for different maximum actual powers, and the validation portion is determined based on the minimum output power consumption and then used for comparison with the actual required input power. Simulation results show the energy expenditure problem can be solved with good accuracy in energy consumption by reducing the maximum rate (A_p ) in a given time (24) hours for a single house, as well as electricity’s bill cost, is reduced.

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12

Hasan, Maha Yousif, and Dheyaa Jasim Kadhim. "A new smart approach of an efficient energy consumption management by using a machine-learning technique." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 1 (January 1, 2022): 68–78. https://doi.org/10.11591/ijeecs.v25.i1.pp68-78.

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Many consumers of electric power have excesses in their electric power consumptions that exceed the permissible limit by the electrical power distribution stations, and then we proposed a validation approach that works intelligently by applying machine learning (ML) technology to teach electrical consumers how to properly consume without wasting energy expended. The validation approach is one of a large combination of intelligent processes related to energy consumption which is called the efficient energy consumption management (EECM) approaches, and it connected with the internet of things (IoT) technology to be linked to Google Firebase Cloud where a utility center used to check whether the consumption of the efficient energy is satisfied. It divides the measured data for actual power (A<sub>p</sub>) of the electrical model into two portions: the training portion is selected for different maximum actual powers, and the validation portion is determined based on the minimum output power consumption and then used for comparison with the actual required input power. Simulation results show the energy expenditure problem can be solved with good accuracy in energy consumption by reducing the maximum rate (A<sub>p</sub>) in a given time (24) hours for a single house, as well as electricity’s bill cost, is reduced.

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13

Rakhmonov, I., N. Niyozov, and K. Li. "DEVELOPMENT OF CORRELATION AND REGRESSION MODELS OF ELECTRIC ENERGY INDICATORS OF THE EQUIPMENT WITH CONTINUOUS NATURE OF PRODUCTION." Technical science and innovation 2019, no. 4 (December 12, 2019): 203–8. http://dx.doi.org/10.51346/tstu-01.19.4.-77-0039.

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The article presents an analysis of the use of correlation-regression analysis, which is based on the methods of mathematical statistics and probability theory in the study of the power consumption of enterprises with equipment of continuous production. On the basis of the annual power consumption schedule of the electric steel-smelting shop in a monthly time section, mathematical models have been developed for the power consumption parameters. And also, on the basis of statistical data with the use of a mathematical method, mathematical expressions were obtained for the electric power consumption and the specific consumption for the main equipment of the electric steel-smelting shop. In order to assess the adequacy of the developed mathematical models, mathematical models of the total and specific consumption of their power consumption are compared with actual data. The comparison results show high reliability of the power consumption modes of the main equipment of the facility in question. The analysis of the values of forecast errors with low error rates determines the adequacy of the developed mathematical models of the parameters of power consumption in terms of power consumption and specific consumption for the main equipment of the electric steel-smelting shop. In this regard, they can be used to determine the predicted values of the parameters of power consumption in electric steelmaking equipment.

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14

Zhang, Li Xi, Shi Yuan Gao, and Wen Bin Chen. "Performances Comparison of Different Solar Desalination Processes by Bubbling Humidification." Advanced Materials Research 282-283 (July 2011): 584–88. http://dx.doi.org/10.4028/www.scientific.net/amr.282-283.584.

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Basing on the experiment and design data of the two solar desalination systems by bubbling humidification, the GOR (gain output ratio), R (electric power consumption of unit freshwater output) and C (freshwater production cost) are calculated and compared. It's obtained when the humidifying temperature is increased, GOR is increased, while R and C are decreased; if the humidifying temperature increased by 10°C, C would be reduced by half. The electric power consumptions of the systems mainly depend on the blower’s consumption, while the electric power consumed by seawater pumps is little. It is the guide and basis for reducing the freshwater production cost and further improving the rationality of process.

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15

Macheso, Paul Stone, and Doreen Thotho. "ESP32 Based Electric Energy Consumption Meter." International Journal of Computer Communication and Informatics 4, no. 1 (May 9, 2022): 23–35. http://dx.doi.org/10.34256/ijcci2213.

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In recent years, the Smart Energy Meter has attracted a lot of attention from all over the world. In this paper a design and prototyping a low-cost IoT energy monitoring is presented, which may be utilized in a variety of applications such as power billing, smart grid energy management, and home automation. The system is based on a low-cost ESP32 microcontroller that is interfaced non-invasive Current Transformer (CT) sensors, and voltage sensor to get data from sensor nodes and deliver it to a Blynk server over the internet. The studies' findings showed that the system for monitoring energy consumption can precisely record voltage, current, active power, and cumulative power consumption.

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16

Zhenyu, Wang, Zhang Jianhua, Shao Chong, Xu Lanlan, and Han Yongjun. "Economic analysis of wind power consumption promoted by regenerative electric heating with high proportion of renewable energy." E3S Web of Conferences 271 (2021): 01021. http://dx.doi.org/10.1051/e3sconf/202127101021.

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With the rapid development of wind power, the randomness and volatility of wind power have also caused severe problems of wind power consumption. The phenomenon of wind abandonment is particularly prominent in the "three north" areas. The environmental protection and controllability of regenerative electric heating provide a way for wind absorption and abandonment. Therefore, this paper proposes a model to promote wind power consumption by using regenerative electric heating. Firstly, the principle and advantages of the heat storage electric heating equipment are described; secondly, the fine modeling of regenerative electric heating is carried out;then, the mode of using regenerative electric heating to promote wind power consumption is designed;finally, an example is given to analyze the wind power consumption effect and the revenue of load aggregators.Therefore, it is verified that this mode can effectively promote wind power consumption and reduce wind abandon generation, and provide reference for alleviating wind abandon and power limit problem.

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17

Aulov, E. V., V. A. Kuchumov, E. E. Kossov, and N. N. Shirochenko. "Accounting of energy consumption of passenger electric locomotives in locomotive operational depots." Vestnik of the Railway Research Institute 77, no. 5 (November 13, 2018): 280–87. http://dx.doi.org/10.21780/2223-9731-2018-77-5-280-287.

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Energy efficiency of transportation process is constantly in the center of attention of specialists and managers of Russian Railways. Some of the new electric locomotives purchased under the investment project have shown unsatisfactory results on electric power consumption. According to the management of the JSC “Russian Railways”, electric locomotives EP20, designed for two types of current, have the highest specific energy consumption. These are modern electric locomotives with powerful asynchronous traction motors. Electric locomotives typically operate in passenger traffic. The purpose of the research was to analyze the accounting of energy consumption of passenger electric locomotives in the locomotive operating depots. The article provides results of a comparative statistical analysis of primary materials on the energy consumption of passenger electric locomotives EP20 and other series of electric locomotives such as EP2K DC and EP1M AC. According to the primary materials from the locomotive operational depots, it was found that passenger electric locomotives with trains of double-decker passenger cars have the highest specific energy consumption. Comparison of specific electric power consumption by electric locomotives with single-type passenger cars showed that with DC electric traction, the consumption level of the EP20 significantly exceeds the consumption of the electric locomotives EP2K; with an AC electric traction, the flow rate of the EP20 is almost equal to the specific electric power consumption of the EP1M electric locomotives. A comparative analysis of the load of EP20 electric locomotives during the maintenance of passenger trains allocated for it in the Moscow — Adler section showed that the electric locomotive was underloaded, which causes a decrease in its efficiency and, as a result, over-consumption of electricity. The use of high-power brake resistors will lead to energy consumption, which must be taken into account in the life cycle cost of EP20 electric locomotives.

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18

Bunnag, Tanattrin. "Causality Relationship between Electric Power Consumption and Economic Growth in Malaysia and Thailand: ARDL Bound Testing Approach." International Journal of Energy Economics and Policy 12, no. 1 (January 19, 2022): 17–22. http://dx.doi.org/10.32479/ijeep.11813.

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This paper examined the causal relationships between per capita electric power consumption and economic growth per capita in Malaysia and Thailand. The data used in this study was the yearly data from 1971 to 2014. The ARDL and Granger causality approaches were employed. Overall, the empirical results showed that it had established a long-run relationship between electric power consumption and economic growth. Moreover, the Granger causality approach recognized a one-way causal direction flowing from economic growth to electric power consumption in Malaysia. However, for Thailand, empirical results had no long-run relationship between electric power consumption and economic growth. Therefore, the Granger causality approach had recognized no way of causal direction flowing from electric power consumption to economic growth. Finally, the empirical results of this study provided policymakers a better understanding of energy consumption and economic growth nexus to formulate energy policy in Malaysia and Thailand. In addition, the government of Malaysia should consider the economic situation when implementing the relevant energy policies.

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19

Denysiuk, S., and V. Opryshko. "EVALUATION OF ELECTRIC POWER IN LOCAL ELECTRIC POWER ENGINEERING SYSTEMS CONSUMPTION AND GENERATION UNEVENNESS." Praci Institutu elektrodinamiki Nacionalanoi akademii nauk Ukraini 2017, no. 48 (November 1, 2017): 43–51. http://dx.doi.org/10.15407/publishing2017.48.043.

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20

Кабалык, Юрий, Yuriy Kabalyk, Сергей Шухарев, Sergey Shuharev, Денис Дроголов, and Denis Drogolov. "ELECTRIC LOSS IN RAILWAY CONTACT NETWORK AT AC ELECTRIC LOCOMOTIVE OPERATION." Bulletin of Bryansk state technical university 2019, no. 9 (October 7, 2019): 50–57. http://dx.doi.org/10.30987/article_5d9317b307f835.52624411.

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The purpose of this work is a quantitative definition of electric power loss in a railway contact network. Electric locomotive power supply is carried out from traction substations through a contact network. During electric locomotive operation power losses take place in a contact network as a result of which voltage decreases on the electric locomotive pantograph and also decreases electric motive power efficiency. Such losses of power and voltage depend upon electric locomotive location in an inter-substation area, its power realized and a power factor. At the same time current consumed by an electric locomotive contains higher harmonics which can cause additional losses in a contact network. For the definition of a loss level there was carried out a computer modeling with the use of Cadence OrCAD program. During modeling there was simulated an electric locomotive operation in a contact network area. The modeling results have shown to what extent a current form of an electric locomotive differs at different quality of power consumption. The quantitative values of the computation characterize the level of power and voltage losses at different forms of power consumption. It is proved that the use of the ideal compensator for a phase alignment is less efficient than the use of the passive compensator of jet power. It tells of that along with the phase alignment it is necessary to pay a particular regard to the harmonic distortion of power consumption.

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21

Anagnostopoulos, Theodoros, Faidon Komisopoulos, Andreas Vlachos, Alkinoos ,. Psarras, Ioannis Salmon, and Klimis Ntalianis. "Sustainable Supply Chain Management of Electric Grid Power Consumption Load for Smart Cities Based on Second-order Exponential Smoothing Algorithm." WSEAS TRANSACTIONS ON SYSTEMS 21 (December 9, 2022): 247–56. http://dx.doi.org/10.37394/23202.2022.21.27.

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Electric grid power consumption load is one of the fundamental areas that need to be faced to provide a sustainable and green ecosystem in smart cities. Consumption load as well as supply and availability of electricity to suppliers and customers is a major issue to be faced to have a balanced smart city power grid infrastructure. Balancing in this case is assumed as a well-designed supply chain management system to be applied in the Smart City (SC) of Athens, Greece. Core of such a system is the knowledge of electric power consumption load per weekly basis of a year, that is the granularity of the proposed system is one week of the system’s operation. In this paper, focus is given on the electric load forecast component of an Energy Management System (EMS) such as the Independent Power Transmission Operator (ITPO) of Greece. Concretely, stochastic data of electric energy consumption load are used to predict the demand or offering of electric power in the future. This is achieved by incorporating a machine learning second-order exponential smoothing algorithm. Such an algorithm is able to speculate near or far in the future power consumption load thus providing a promising parameter to predict smart city needs for electric power in the future. Adopted system is evaluated by the evaluation metric of Normalized Root Mean Square Error (NRMSE), which assures that the system can be used for future predictions of electric power consumption load in smart cities.

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22

Kakurina, A. V., A. S. Sizov, and Yu A. Khalin. "Cognitive Modelling and Forecasting of Electricity Consumption." Proceedings of the Southwest State University 27, no. 4 (March 1, 2024): 44–61. http://dx.doi.org/10.21869/2223-1560-2023-27-4-44-61.

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Purpose of reseach. Development of a forecast model of energy consumption and assessment of factors influencing its consumption. The obtained forecast estimates of energy consumption will improve the quality and efficiency of management decisions at all levels of administrative management.Methods. The article presents an analytical review of the existing methods of cognitive modelling and forecasting of electric power consumption, the description of the software implementation of the information-computing system that allows to make a forecast of electric power consumption by the population of the administrative-territorial formation. The approach to the description of factors of electric power consumption by both population and various branches of national economy, as well as organisations engaged in rendering various services has been proposed. Special software has been developed, which allows to obtain model results of electric power consumption in an automated mode, to carry out factor analysis of power consumption. The experimental verification of the work of the programme of cognitive modelling and forecasting of electric power consumption by the population of Lgovsky district of Kursk region is given. The developed software also makes it possible to evaluate the adequacy of the obtained results and promptly adjust the model parameters.Results. As a result of the research a fuzzy cognitive map of energy consumption for a municipal entity was developed. The concepts of the subject area describing the influence of various groups of factors on the level of electric energy consumption were identified. Forecast estimates of electricity consumption were obtained, which were based on the data for the retrospective period. Adequacy indicators based on the calculation of statistical criteria are determined for the obtained estimates.Conclusion. The results of the study have shown that the combination of cognitive and statistical methods allows to achieve an adequate solution when solving the problem of energy consumption forecasting.

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Wang, Guan, Chao Qin, Yan Li Huang, and Zhong Fu Tan. "Coal Transportation Network Optimization Model Based on Power Source Distribution." Applied Mechanics and Materials 740 (March 2015): 918–21. http://dx.doi.org/10.4028/www.scientific.net/amm.740.918.

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Coal is the important fuel and industrial raw materials in my country, and it accounts for 70% of total energy production and consumption in our country, and power plants’ coal consumption accounts for more than half of national total coal consumption. The research of electric-coal supply chain related to coal production place, coal transit place and consumption place (power plant). Due to there are many nodes like these three kinds coal transportation in the market, so the project that integrates every nodes into unified transportation optimization network has the function of reducing coal consumption and saving transportation costs. The paper constructs coal transportation analysis model, electric-coal supply and transportation path dynamic optimization model based on electric-coal transportation network analysis, and make effective analysis for choosing electric-coal transportation path. The paper also puts forward electric-coal supply chain optimization measures from electric-coal supply chain integration and ports building.

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M. O. Kostin. "REACTIVE POWER DEVICES IN SYSTEMS OF ELECTRIC TRACTION." Science and Transport Progress, no. 34 (October 25, 2010): 73–76. http://dx.doi.org/10.15802/stp2010/8903.

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A comparative characteristic of different concepts and expressions for determination of reactive power in the circuits with non-sinusoidal electric values has been given. For the first Ukrainian electric locomotives of DE1 type with the system of DC electric traction, the values of reactive power after Budeany, Fryze, and also the differential, integral and generalized reactive powers have been determined. Some measures on reducing its consumption by the DC electric rolling stock have been suggested.

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25

Xu, Xiao Hui, Dong Lei Chen, and Yang Wen. "Study on the Interactive Service Architecture for Industrial User in Smart Power Consumption." Advanced Materials Research 614-615 (December 2012): 880–86. http://dx.doi.org/10.4028/www.scientific.net/amr.614-615.880.

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The objective of smart power consumption system is to make the large industrial user communicate actively with electric power operator by the means of smart measurement and control. The necessity of interactions between electric power corporation and large industrial users was analyzed. Then the interactive service architecture for large industrial user in smart power consumption and the relations among parts of the architecture were studied. The functions and key technologies of the interactive service architecture were also discussed. Further, by collecting the information such as internal power consumption information, device running information, laws of production, and development tend information et al., the electric power corporation can offer personalized, diversified, facilitated and interactive services for large industrial users. And the corporation can provide necessary information support for electric grid dispatching, power distribution planning, electric energy quality, line loss and power supply reliability.

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Rajamoorthy, Yogambigai, Ooi Bee Chen, and Subramaniam Munusamy. "Evidence of Electricity Consumption Lead Climate Change in Malaysia." Jurnal Kejuruteraan si1, no. 6 (November 30, 2018): 49–58. http://dx.doi.org/10.17576/jkukm-2018-si1(6)-07.

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The consumption of electricity in Malaysia increase in demand as one of the driving forces of economic development. The main source of electric power generation in Malaysia depends on fossil fuels which lead to air pollution currently and a shortage of natural resources (fossil) in the future if this method continues. Moreover, this will cause a serious problem such as sustainability of energy choice and will harm the environment. This study investigates the relationship between climate variables and electric power consumption in Malaysia. The important climate variables included such as average temperature, average rainfall, forest area, carbon dioxide emission and arable land over a period of 1991 to 2015. Augmented Dickey-Fuller unit root test shows that average rainfall, average temperature, and electrical power consumption stationary at their level. However, forest area, carbon dioxide emission, and arable land stationary after first differences. The result of this study indicates that electric power consumption has a long-run relationship between average temperature and average rainfall. This indicates that electric power consumption has an impact on climate change in Malaysia. These studies also find evidence that unidirectional causality between electric power consumption and climate factors. Overall, the wise consumption of electricity and adopting renewable energy to generate electricity will reduce carbon emission in Malaysia.

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27

Pichkalov, E. S., T. O. Tereshchenko, and Yu S. Yamnenko. "Economic aspect of electricity consumption in energy microgrid system." Electronics and Communications 16, no. 4 (March 31, 2011): 109–12. http://dx.doi.org/10.20535/2312-1807.2011.16.4.245273.

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Problems that must be solved for realization of the virtual market of the electric power in a power system microgrid are formulated. A structure of the power system with the internal network is offered. Principles are considered and criteria of functioning of the virtual markets of the electric power are developed

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28

Narzullayev, Bobur Sh, and Mirzokhid A. Eshmirzaev. "Causes of the appearance of current waves in high voltage electric arc furnaces, and methods of their reduction." E3S Web of Conferences 417 (2023): 03003. http://dx.doi.org/10.1051/e3sconf/202341703003.

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This article presents a method of generation and reduction of current waves in high-voltage electric arc furnaces in industrial and mining enterprises, in contrast to existing methods. The developed method is currently relevant for the solution of problems related to the generation of current waves during the operation of high-voltage electrics are furnaces with a power of 3 MWt used in the melting and pouring of metals of different densities at the Navoi mechanical engineering plant. The main goal of implementing the developed method is to reduce the electric energy consumption of high-voltage electrics arc furnaces and to increase the efficiency of electric energy consumption of the furnace.

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29

Li, Yun Feng, Yang Cao, and Gang Dong. "Interoperability Analysis and Expectation of Short Distance Micro-Power Wireless Communication Technology." Applied Mechanics and Materials 530-531 (February 2014): 751–55. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.751.

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Electric energy consumption data acquisition system is an important part of the smart grid, with the construction and development of the State Grid Corporation electric energy consumption data acquisition, micro-power wireless communication is becoming one of the important local communication technologies for electric energy consumption data acquisition. However, many micro-power wireless provider different standards also brought many problems. This article describes the status of the domestic energy consumption data acquisition, the characteristics of micro-power wireless communications Interconnection and Interworking as well as prospects for the future research directions in the field of micro-power wireless communications.

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30

Cid, Díaz, and Granados. "Electric Power Systems from Solar Panels in Mexico." Proceedings 38, no. 1 (December 30, 2019): 10. http://dx.doi.org/10.3390/proceedings2019038010.

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A detailed analysis of the electrical consumption of a residential house in the state of Mexico was carried out, where the comparison between the diagnosed consumption and the consumption given by the Federal Electricity Commission (CFE) in charge of the regulation of electricity, in the same way, the analysis of the electricity consumption is carried out by means of solar collectors, making comparative graphics of the price and the diagnosis, looking for a benefit with respect to the electricity consumption by means of renewable energies.

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31

Cheng, Lu, Rui Ma, Hai Wei Lu, Hai Yang Ma, and Xiao Feng Gao. "Research on Collaborative Operation System of Wind Power and Electric Vehicle." Applied Mechanics and Materials 268-270 (December 2012): 1016–19. http://dx.doi.org/10.4028/www.scientific.net/amm.268-270.1016.

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With the increasing of wind power capacity, the peak regulation has become a bottleneck in wind power consumption. This paper introduces electric vehicle as a distributed energy storage device. Based on the probabilistic model, it puts forward equivalent quantity model of electric vehicle charging. It uses the quantitative relationship to represent power. Hence the collaborative operation with wind power is realized. The simulation result shows that the relationship between electric vehicle’s equivalent number and wind power can be described by this model. It also analyzes the feasibility of wind power consumption by electric vehicle.

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32

Park, Ji In, Kawngki Jeon, and Kyongsu Yi. "An investigation on the energy-saving effect of a hybrid electric-power steering system for commercial vehicles." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 6 (June 5, 2018): 1623–48. http://dx.doi.org/10.1177/0954407018777579.

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This article describes an investigation on the energy consumption of an alternative hybrid electric power steering system. The conventional hydraulic power steering system that is widely used in commercial vehicles can provide high steering-feel and reliability performances. However, since the combustion engine drives the pump, the hydraulic power steering system is energetically inefficient. To cope with this disadvantage of the hydraulic power steering system and to provide a technical base for the steering-related advanced driver assistance system, the Hybrid electric power steering system offers a solution for heavy commercial vehicles. The “Hybrid” of the title means that, for heavy commercial vehicles, the electric power steering system and electro-hydraulic power steering system are integrated in a ball-nut steering system. In this paper, to verify the energy-saving effect of the Hybrid electric power steering system, a dynamic model of the Hybrid electric power steering system was developed to estimate the energy consumption in the steering system. Furthermore, the fuel-efficiency test for the Hybrid electric power steering system were conducted while replacing the two steering systems (the conventional hydraulic power steering and Hybrid electric power steering system) in one vehicle on the chassis dynamometer for the proposed driving cycle. The driving cycle including the steering-angle profile has been developed to clearly investigate the effect on the energy-saving potential by the types of the steering system (hydraulic power steering and Hybrid electric power steering). The simulation results of the energy-consumption estimation showed that the hybrid electric power steering system can reduce the steering-system energy consumption by more than 50% under the proposed driving cycle. Also, the vehicle testing of the chassis dynamometer revealed that the Hybrid electric power steering system can improve the fuel efficiency of the vehicle by 1% for the specified driving cycle.

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33

Zhang, Ke Ying, Jing Zhao, and Yang Dong Li. "Application of Grey Prediction Model in Electric Power Consumption in Shandong Province." Advanced Materials Research 524-527 (May 2012): 3021–26. http://dx.doi.org/10.4028/www.scientific.net/amr.524-527.3021.

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This paper takes Shandong Province as an example, by using grey system forecast theory; the GM (1, 1) model of electric power consumption is established. The electric power consumption from 2011 to 2015 in Shandong Province is forecasted and the forecast accuracy is verified, which offers the reference value for Shandong Province electric power planning in the future.

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34

Kassim, Murizah, Maisarah Abdul Rahman, Cik Ku Haroswati Che Ku Yahya, and Azlina Idris. "Mobile Application for Electric Power Monitoring on Energy Consumptions at a Campus University." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 2 (August 1, 2018): 637. http://dx.doi.org/10.11591/ijeecs.v11.i2.pp637-644.

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This paper presents a research on electric power monitoring prototype mobile applications development on energy consumptions in a university campus. Electric power energy consumptions always are the issue of monitoring usage especially in a broad environment. University campus faces high used of electric power, thus crucial analysis on cause of the usage is needed. This research aims to analyses electric power usage in a university campus where implemented of few smart meters is installed to monitor five main buildings in a campus university. A Monitoring system is established in collecting electric power usage from the smart meters. Data from the smart meter then is analyzed based on energy consume on 5 buildings. Results presents graph on the power energy consume and presented on mobile applications using Live Code coding. The methodology involved the setup of the smart meters, monitoring and data collected from main smart meters, analyzed electrical consumptions for 5 buildings and mobile system development to monitor. A Live Code mobile app is designed then data collected from smart meter using ION software is published in graphs. Results presents the energy consumed for 5 building during day and night. Details on maximum and minimum energy consumption presented that show load of energy used in the campus. Result present Tower 1 saved most eenergy at night which is 65% compared to block 3 which is 8% saved energy although block 3 presents the lowest energy consumption in the working hours and non-working hours. This project is significant that can help campus facility to monitor electric power used thus able to control possible results in future implementations.

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35

Murizah, Kassim, Abdul Rahman Maisarah, Ku Haroswati Che Ku Yahya Cik, and Idris Azlina. "Mobile Application for Electric Power Monitoring on Energy Consumptions at a Campus University." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 2 (August 1, 2018): 637–44. https://doi.org/10.11591/ijeecs.v11.i2.pp637-644.

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This paper presents a research on electric power monitoring prototype mobile applications development on energy consumptions in a university campus. Electric power energy consumptions always are the issue of monitoring usage especially in a broad environment. University campus faces high used of electric power, thus crucial analysis on cause of the usage is needed. This research aims to analyses electric power usage in a university campus where implemented of few smart meters is installed to monitor five main buildings in a campus university. A Monitoring system is established in collecting electric power usage from the smart meters. Data from the smart meter then is analyzed based on energy consume on 5 buildings. Results presents graph on the power energy consume and presented on mobile applications using Live Code coding. The methodology involved the setup of the smart meters, monitoring and data collected from main smart meters, analyzed electrical consumptions for 5 buildings and mobile system development to monitor. A Live Code mobile app is designed then data collected from smart meter using ION software is published in graphs. Results presents the energy consumed for 5 building during day and night. Details on maximum and minimum energy consumption presented that show load of energy used in the campus. Result present Tower 1 saved most eenergy at night which is 65% compared to block 3 which is 8% saved energy although block 3 presents the lowest energy consumption in the working hours and non-working hours. This project is significant that can help campus facility to monitor electric power used thus able to control possible results in future implementations.

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36

Cheng, Yu Gui. "Decoupling Analysis Based on Relationship between Economic Growth and Electricity Consumption in the City of Nanchang." Advanced Materials Research 361-363 (October 2011): 1148–52. http://dx.doi.org/10.4028/www.scientific.net/amr.361-363.1148.

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The relationship between energy consumption and economic growth has been the research focus for scholars both at home and abroad. The role of electric power in the development of modern city has become more and more important. It is necessary to pursue the green environmental protection structure and mode of electricity consumption due to the dangerous nuclear power. The relationship between economic growth and electricity consumption in the city of Nanchang was analyzed using decoupling analysis. Economic development planning, industrial structure and population growth of city all can affect consumption of electric power resource. The city should adjust electric power consumption structure promptly and improve energy efficiency, meanwhile quicken construction of new energy and new technology.

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37

Barua, Antara Mahanta, and Pradyut Kumar Goswami. "A Survey on Electric Power Consumption Prediction Techniques." International Journal of Engineering Research and Technology 13, no. 10 (October 31, 2020): 2568. http://dx.doi.org/10.37624/ijert/13.10.2020.2568-2575.

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38

Popa, Gabriel, Ioan Sebeşan, Sorin Arsene, Răzvan Oprea, and Claudiu Nicolae Badea. "Optimizing Power Consumption of the Electric Vehicle Traction." Applied Mechanics and Materials 809-810 (November 2015): 1103–8. http://dx.doi.org/10.4028/www.scientific.net/amm.809-810.1103.

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The study refers to optimizing energy consumption from electric trains, underground trains and electric locomotives. The actual requirements of the dynamic market economy are forcing the railway system to transform into a reliable alternative to the road and air traffic. From this perspective, the railways have to fulfill two key elements: Economical efficiency and reliability and to offer what the potential customer needs. One of the main elements is the respect of the timetables or (if possible) the decrease of the running times. The running time is the main referential, especially when it’s related to the power consumption. The optimization of the running times and the power consumption is the most important target for railway operators and depends on the correct choice of the drive regimes. Article deals with energy optimization from the perspective of traction. Analysis can be applied also to diesel railcars and diesel locomotives.

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39

Ozawa, Kazuhiro, ’Takahide Niimura, and Tomoaki Nakashima. "Fuzzy Time-Series Model of Electric Power Consumption." Journal of Advanced Computational Intelligence and Intelligent Informatics 4, no. 3 (May 20, 2000): 188–94. http://dx.doi.org/10.20965/jaciii.2000.p0188.

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In this paper, the authors present a data analysis and estimation procedure of electrical power consumption under uncertain conditions. Tiraditional methods are based on statistical and probabilistic approaches but it may not be quite suitable to apply purely stochastic models to the data generated by human activities such as the power consumption. The authors introduce a new approach based on possibility theory and fuzzy autoregression, and apply it to the analysis of time-series data of electric power consumption. Two models, which are different in complexity, are presented, and the performance of the models are evaluated by vagueness and α-cuts. The proposed fuzzy Auoregression model represents the rich information of uncertainty that the original data contain, and it can be a powerful tool for flexible decision-making with uncertainty. The fuzzy AR model can also be constructed in relatively simple procedure compared with the conventional approaches.

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40

Yang, Jyun-Yan, Li-Der Chou, and Yao-Jen Chang. "Electric-Vehicle Navigation System Based on Power Consumption." IEEE Transactions on Vehicular Technology 65, no. 8 (August 2016): 5930–43. http://dx.doi.org/10.1109/tvt.2015.2477369.

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41

Heryana, G., S. Prasetya, M. Adhitya, and D. A. Sumarsono. "Power consumption analysis on large-sized electric bus." IOP Conference Series: Earth and Environmental Science 105 (January 2018): 012041. http://dx.doi.org/10.1088/1755-1315/105/1/012041.

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42

Arlenny. "The Design of Portable Battery Charging Devices Using Motorcycle Wheel Round." International Journal of Electrical, Energy and Power System Engineering 2, no. 2 (June 18, 2019): 16–19. http://dx.doi.org/10.31258/ijeepse.2.2.16-19.

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This research aims to the development of reader equipment as well as control the load limitation of electric power using Atmega 8535 microcontroller. In the development of equipment of reading and controlling electrical energy consumptions, the modified KWH (Kilo Watt Hour) meter was used by placing the optocoupler sensor as the enumerator indicator the electric power consumption on the disc. Atmega 8535 microcontroller was used to control and limitation of the electric power consumption. In this research, the measuring and control system was developed to record the amount of electrical power load used, and it can be used as an alternative to the current divider for the achievement of the efficiency of practical electrical energy consumption. The results of the measurement comparison between the measured load and the output load tended to be stable with an average percentage error of 6.3%, and it was still below the optimum threshold value of the error factor, which around 10%. Therefore, results of testing developed equipment KWH digital meter using Atmega 8535 microcontroller that was produced a good performance.

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43

Liang, Xiaoliang. "Energy Efficiency Analysis and Research of Pure Electric Vehicles under Actual Working Conditions." E3S Web of Conferences 512 (2024): 03036. http://dx.doi.org/10.1051/e3sconf/202451203036.

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Pure electric vehicles are a hot topic in today’s social development. From beginning to end, the energy density of power batteries in pure electric vehicles is generally low, resulting in short range, inaccurate range estimation, and driver anxiety. This is also one of the reasons that hinder the promotion of pure electric vehicles. This article discusses the energy consumption of pure electric vehicles based on actual road tests. By comparing the battery energy efficiency of various roads (including urban roads, suburban roads, and highways) using electric vehicles from Guangzhou to Qingyuan, the energy consumption patterns of pure electric vehicles are analyzed. Experiments have shown that continuously improving the energy density of power batteries is the key technology to solve the problem of insufficient range for electric vehicles. Based on the existing power battery technology, this study investigates the relationship between energy consumption and various factors affecting electric vehicles, which can provide better reference for drivers to predict energy consumption and range.

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44

KOTYSH, Andrii, Ivan SAVELENKO, and Kateryna PETROVA. "THE EXCESSIVE TECHNICAL LOSSES OF ELECTRICITY IN ELECTRICAL SYSTEMS OF POWER CONSUMPTION." Herald of Khmelnytskyi National University. Technical sciences 315, no. 6 (December 29, 2022): 69–73. http://dx.doi.org/10.31891/2307-5732-2022-315-6(2)-69-73.

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Reducing electricity losses in electrical networks is a complex complex problem that requires significant capital investments necessary for optimizing the development of electrical networks, improving the electricity accounting system, introducing new information technologies in marketing activities and managing network modes, training personnel and equipping them with means of testing measuring devices etc. In reality, in recent years, in connection with the inclusion of normative losses in the tariff for electric energy transmission services, a dangerous trend of adapting these norms to actual losses has emerged. The article analyzes the occurrence of power losses in electrical engineering systems and electrical networks of various voltage classes. Special attention is paid to the so-called excess losses, which are not taken into account during design and operation. These losses occur in insulators, linear fittings, current-limiting reactors, electricity meters, windings of current and voltage transformers, etc. Excessive losses of electricity in electric networks are direct financial losses of electric power companies. Savings from reducing losses could be directed to technical re-equipment of networks; staff salary increase; improvement of the organization of electricity transmission and distribution; increasing the reliability and quality of electricity supply to consumers. Unaccounted losses reach approximately 1% of the total amount. This fact must be taken into account. Because currently we are talking about millions of losses.

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45

Tseng, Chia Wei, Yao Tsung Yang, and Li Der Chou. "A Travel Distance Power Consumption Model for Battery Electric Vehicles." Advanced Materials Research 1008-1009 (August 2014): 372–75. http://dx.doi.org/10.4028/www.scientific.net/amr.1008-1009.372.

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Electric Vehicles (EVs) are becoming increasingly popular in recent years. Battery Electric Vehicles (BEVs) are a type of EVs use stored energy more efficiently than typical internal combustion engine powered counterparts. A key challenge of BEV is the limited battery energy. In order to relieve electric vehicle range anxiety for BEV owners and achieve an optimal battery sizing for BEV, a travel distance power consumption model has been created to model the travel behavior of BEV in the fleet. The model provides an efficient way of estimating the power requirements of electric vehicles reach the destination.

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46

Xiao, Hong, Hai-Jun Huang, and Tie-Qiao Tang. "An electricity consumption model for electric vehicular flow." Modern Physics Letters B 30, no. 26 (September 30, 2016): 1650325. http://dx.doi.org/10.1142/s0217984916503255.

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In this paper, we apply the relationships between the macro and micro variables of traffic flow to develop an electricity consumption model for electric vehicular flow. We use the proposed model to study the quantitative relationships between the electricity consumption/total power and speed/density under uniform flow, and the electricity consumptions during the evolution processes of shock, rarefaction wave and small perturbation. The numerical results indicate that the proposed model can perfectly describe the electricity consumption for electric vehicular flow, which shows that the proposed model is reasonable.

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47

Yatsko, Serhiy, Yaroslav Vashchenko, and Anatoliy Sydorenko. "Development of strategies for reducing traction energy consumption by electric rolling stock." Computational Problems of Electrical Engineering 9, no. 1 (May 30, 2019): 44–51. http://dx.doi.org/10.23939/jcpee2019.01.044.

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The paper considers a method of increasing the energy efficiency of the traction power consumption during operation of a non-autonomous electric rolling stock equipped with an onboard energy storage. The idea is to use the onboard energy storage of the electric braking as an additional power source for the traction electric drive in the process of vehicle acceleration and to coordinate its work with the power supply system. This not only ensures the independence of the processes of electric power consumption and kinetic energy recovery by the traction equipment, but also reduces losses in the elements of traction and external power supply systems. To confirm the effectiveness of the proposed method, we simulated the operation of a metro train with asynchronous traction electric drive in combination with the proposed system. The results obtained, in this case, demonstrated a reduction of energy losses in the elements of the traction power supply system during the electric train acceleration by 45 % compared with the losses when using a regular traction drive system. Attention is paid to the factors and their characteristics that exert significant influence on the traction and electric braking processes.

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48

Istomin, Stanislav, Artem Perestenko, and Cong Dang. "Development of the system of visual control of electric power consumption by electric rolling stock." MATEC Web of Conferences 239 (2018): 01035. http://dx.doi.org/10.1051/matecconf/201823901035.

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The paper considers the issue of organization of control of electric power consumption by electric rolling stock by visualizing information on the monitor of the driver's console. With the correct analysis of information coming on board of the electric rolling stock, the train driver makes correction of the driving modes of the train in terms of energy efficiency. In this paper, to visualize information on the efficiency of power consumption by an electric rolling stock on the route, the authors propose using an indicator diagram using a green, white, and orange gradient. The variant of output of the final information on the efficiency of power consumption of electrical energy by an electric rolling stock both within the distances operated by the locomotive crews and within the hauls to the monitor of the driver's console is presented. One of the main advantages of using the technology of visual control of electric power consumption by electric rolling stock is the promptness of correction of decision-making on the rational use of energy resources, the identification of objective reasons for the overspending of energy, and the identification of reference results for the driving of trains. The prospect of development of the research topic is the approbation and implementation of the proposed technical and technological solutions in the production, which will reduce the specific consumption and unproductive electric power losses within the boundaries of the railway accounting zones.

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49

Tavlintsev, Alexander, Maria Shorikova, and Sergey Yuferev. "Smoothing the Metropolis Electric Power Consumption Daily Schedule with Mass Use of Electric Vehicles." Advanced Materials Research 953-954 (June 2014): 1402–5. http://dx.doi.org/10.4028/www.scientific.net/amr.953-954.1402.

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In connection with the increasing fuel costs and decreasing incomes during the crisis electric vehicles are becoming more and more popular with drivers. With mass growth of using the electrical vehicles a possibility of transmission congestion can take place. While charging the vehicle by means of residential distribution there is a risk of facing electric power supply degradation and local accident conditions in grids. One of the basic current problems is that of the load curve irregularity, i.e. the existence of the peak hours and minimums in demand of the electric power. In its turn the load curve irregularity can cause unacceptable frequency oscillations in power systems. The development of charging station systems will lead to the increasing of the morning and evening demand of the electric power. It requires key investments in generators designing and improving the distribution networks, which in its turn will cause limitations in the number of charging stations and the electric vehicles expansion. Cost differentiation depending upon charging duration time can become an incentive to use charging stations during the periods of the minimum electric power consumption. A possibility of the electric vehicles usage as a means of smoothing the electric power consumption daily schedule is shown in the article. The evaluation of rationality of the electric vehicles integration as a power component in the network was made as well.

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50

Song, Xinfu, Gang Liang, Changzu Li, and Weiwei Chen. "Electricity Consumption Prediction for Xinjiang Electric Energy Replacement." Mathematical Problems in Engineering 2019 (March 20, 2019): 1–11. http://dx.doi.org/10.1155/2019/3262591.

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In recent years, the phenomenon of wind and solar energy abandoned in Xinjiang’s new energy has become severe, the contradiction between the supply and demand of the power grid is obvious, and the proportion of power in the energy consumption structure is relatively low, thus hindering the development of Xinjiang’s green power. In this context, the focus of Xinjiang’s power has shifted to promote the development of electric energy replacement. Therefore, using the Xinjiang region as an example, we first select the important indicators such as the terminal energy substitution in Xinjiang, added value of the secondary industry, population, terminal power consumption intensity, and per capita disposable income. Subsequently, eight combined forecasting models based on the grey model (GM), multiple linear regression (MLR), and error back propagation neural network (BP) are constructed to predict and analyse the electricity consumption of the whole society in Xinjiang. The results indicate the optimal weighted combination forecasting model, GM-MLR-BP of the induced ordered weighted harmonic averaging operator (IOWHA operator), exhibits better prediction accuracy, and the effectiveness of the proposed method is proven.

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