Статті в журналах: "Electric power consumption Measurement"

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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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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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Rashid, Mofeed. "Design and Implementation of Wireless Electric Power Meter Based on XBee Model." Iraqi Journal for Computers and Informatics 41, no. 1 (December 31, 2014): 15–19. http://dx.doi.org/10.25195/ijci.v41i1.92.

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Since the 1991 Gulf War, Iraq is still suffering from the crisis and irregular in the processing of electric power to customers.Damage to the network, the old measurement devices for measuring electrical energy consumption, and irregularities and corruption in theprocess of measuring and calculating fees of the consumption, all these reasons led to the deterioration of the performance of thedistribution network in Iraq. In this paper, Wireless Electric Power Meter Based on XBee Module has been designed and implementedwhich ZigBee wireless sensor network (WSN) will be used for wireless electric power meter communication supported by PICmicrocontroller which used for power unit measurements. Wireless metering system will be controlled by central computer which place inbase station; also database will be design to record and manage all data and information of consumers.

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Huber, Patrick, Melvin Ott, Martin Friedli, Andreas Rumsch, and Andrew Paice. "Residential Power Traces for Five Houses: The iHomeLab RAPT Dataset." Data 5, no. 1 (February 5, 2020): 17. http://dx.doi.org/10.3390/data5010017.

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Datasets with measurements of both solar electricity production and domestic electricity consumption separated into the major loads are interesting for research focussing on (i) local optimization of solar energy consumption and (ii) non-intrusive load monitoring. To this end, we publish the iHomeLab RAPT dataset consisting of electrical power traces from five houses in the greater Lucerne region in Switzerland spanning a period from 1.5 up to 3.5 years with a sampling frequency of five minutes. For each house, the electrical energy consumption of the aggregated household and specific appliances such as dishwasher, washing machine, tumble dryer, hot water boiler, or heating pump were metered. Additionally, the data includes electric production data from PV panels for all five houses, and battery power flow measurement data from two houses. Thermal metadata is also provided for the three houses with a heating pump.

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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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Alobaidy, Haider A. H., Hikmat N. Abdullah, and Tariq M. Salman. "Design of smart wireless changeover for continuous electric current feeding from power sources of variable capacities." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 4 (August 1, 2020): 3460. http://dx.doi.org/10.11591/ijece.v10i4.pp3460-3467.

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Electric power has become a vital element for life today. Despite this importance, electric power consumers in Iraq suffer from the problem of noncontinuity and daily electric power supply interruption. This problem led to the use of various sources of electric power as an alternative to compensate for the shortage of electric power provided by the Iraqi national grid. In this work, a smart wireless changeover device is designed using wireless sensor networks technology aiming to solve problem caused by the multiplicity of power sources received at home and governmental buildings in Iraq by controlling operation of some electrical devices (which consume high current) in the home or workplace automatically when changing source of electricity from one to another. This solution will help to ensure the continuity of electric current feeding from power sources of variable capacities, also, to rationalize power consumption by assigning an operation priority to electric devices. Furthermore, a statistical measurement as a case study was performed in a building with a total power consumption of 160.8 KW/h. The result showed that the device functions effectively and it is capable of achieving an average saving in power of about 50% to 86% depending on the applied priorities and case study scenario.

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Hordiienko, Mykola, Oleksandr Parkhomenko, and Vladyslav Podpisnov. "WLTC measuring driving cycle (power reserve measurement procedure for hybrids and electric vehicles)." Vehicle and electronics. Innovative technologies, no. 22 (December 27, 2022): 37–46. http://dx.doi.org/10.30977/veit.2022.22.0.9.

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Problem. The most effective energy management strategies for hybrid vehicles and electric vehicles are optimization-based strategies. These strategies require prior knowledge of the driving cycle, which is not easy to predict. Goal. The goal is to combine the Worldwide harmonized light vehicles test cycle (WLTC) with short trips on small sections with real traffic levels to predict the energy and fuel consumption of hybrid vehicles and electric vehicles. Methodology. Research methods are experimental and mathematical. First of all, eight characteristic parameters are extracted from real speed profiles used on urban road sections in the city of Kharkiv under various road conditions, as well as on short WLTC trips. The minimum distance algorithm is used to compare parameters and determine three traffic levels (heavy, medium, and low traffic) for short WLTC trips. Thus, for each route determined using Google Maps, the energy and fuel consumption of hybrid vehicles and electric vehicles are estimated using short trips by the WLTC, adjusted for distances and traffic levels. In addition, a numerical model of the vehicle was implemented. It was used to test the accuracy of predicting fuel and energy consumption in accordance with the proposed methodology. Originality. For the methodology using only GM information is required as input data; no other device or software is required. This aspect makes the methodology extremely economical. Then, the algorithm regulating traffic levels shown by GM is unique and valid in all urban centers. This aspect makes the methodology universal. WLTC takes into account the driving styles of drivers around the world, so the methodology can be applied to any car driver. Prediction accuracy can be increased by taking into account other input information, such as the distribution of traffic light signals or the driver's typical gear shifting style. Results. The results are promising, as the average absolute percentage error between experimental driving cycles and projected ones is 3.89 % for fuel consumption, increasing to 6.80 % for energy consumption. Practical value. The possibility of energy forecasting and fuel consumption for a hybrid vehicle and an electric vehicle makes it possible to develop energy consumption management systems for HEVs that can manage the energy reserve to ensure full travel by electric traction in limited traffic zone (LTZ) or minimize local air pollution; increase the service life of energy reserves (usually batteries) by maintenance costs and disposal problems reducing; optimize the transmission-use efficiency due to fuel consumption and pollutants emissions reduction.

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8

Ulloa, F., L. García-Santander, D. Carrizo, and C. Hurtado. "Towards a Home Energy Management Model Through a Coordinator of Smart Sockets." Latvian Journal of Physics and Technical Sciences 55, no. 4 (August 1, 2018): 35–43. http://dx.doi.org/10.2478/lpts-2018-0027.

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Abstract The efficient use of energy and its implementation in domestic automation systems is an essential requirement in Smart Cities. However, this requires appropriate measurement devices and an M2M control-communication alternative that offers real-time visualization of the information. This article proposes a prototype of the home electric power consumption management platform, as an advance in generating a model for future Smart Grid. Therefore, the research implements smart socket devices and a coordinator of the communication of a home area network between these measuring devices to have an intelligent control of electric power. As a result, real-time data of the defined electrical parameters have been obtained. This information has been stored in the Internet cloud, also allowing remotely programming and controlling these measurement devices. The present research contributes to generating a profile of total load consumption for residential users and allowing them to know and compare their real consumption with what was reported by the distributors.

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9

Kango, Riklan, Suhaedi Suhaedi, and Fadli Awal Hasanuddin. "Implementation of The Internet of Things for Monitoring The Company's Electrical Power Consumption." Journal of Asian Multicultural Research for Economy and Management Study 2, no. 1 (January 20, 2021): 16–22. http://dx.doi.org/10.47616/jamrems.v2i1.72.

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This research aims to design an electric panel monitoring system using the Internet of Things technology in company buildings so that consumers can monitor real-time electricity consumption. The energy consumption monitoring method that we propose uses PM2100 by implementing a real-time monitoring function of the power consumption of a 3-phase electric panel. The monitoring system implementation results show that the value is very close to measuring the digital multimeter measuring instrument. The monitoring system produces a current measurement accuracy of 97.38% with an error of 2.62%, while the 3-phase voltage measurement error is 0.616%. This system design helps companies obtain information faster to be considered data to improve efficiency in the Company.

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Naumov, Igor, Sergey Podyachikh, Marina Polkovskaya, and Aleksandr Tretyakov. "Green technologies use in the smart grid construction in rural power supply systems." BIO Web of Conferences 42 (2022): 03006. http://dx.doi.org/10.1051/bioconf/20224203006.

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The article considers the using intelligent controls possibility in low-voltage rural electric networks to minimize the unbalance modes consequences. The proposed technology includes the digital data transmission compilation on the electrical energy parameters with a new balancing technical means the electrical network operating mode. Digital feedback is provided for changes the balancing device (BD) parameters by the unbalancing power consumption changing level. Based on the developed methods compilation, software for calculating unbalancing modes has been created, which makes it possible to assess the currents and voltages unbalancing effect on the power quality and its additional losses change. The “green” technology proposed version, which increases the economic and the electric energy environmental safety use in the rural electric power industry, contains a new constructive solution for the balancing device implementation. The proposed technology was tested on the measurement data basis in existing electrical networks. Based on the MALAB technologies use, changes studied indicators visualization in the before and after BD integration in the electrical network was carried out and its analysis was makes. Used on the “neural networks” MALAB technology, a preventive assessment of the unbalancing power consumption events development in the investigated operating electrical network is presented, as well as the proposed technology effectiveness assessment was carried out.

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Konstantakos, V., K. Kosmatopoulos, S. Nikolaidis, and T. Laopoulos. "Measurement of Power Consumption in Digital Systems." IEEE Transactions on Instrumentation and Measurement 55, no. 5 (October 2006): 1662–70. http://dx.doi.org/10.1109/tim.2006.880311.

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12

Arhun, S., Yu Borodenko, A. Hnatov, A. Popova, H. Hnatova, N. Kunicina, A. Ziravecka, A. Zabasta, and L. Ribickis. "Choice of Parameters for the Electrodrive Diagnostic System of Hybrid Vehicle Traction." Latvian Journal of Physics and Technical Sciences 57, no. 4 (August 1, 2020): 3–11. http://dx.doi.org/10.2478/lpts-2020-0017.

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AbstractWhen operating a hybrid vehicle (HEV), it is important to reduce maintenance and repair costs. The HEV electric drive (ED) consists of electronic, electrical and mechanical parts and is considered a complex diagnostic model. The availability of an electrical part greatly simplifies the process of monitoring and obtaining information about the state of the system. In order to create a hybrid diesel-electric propulsion system (HDEPS), the choice of structural and functional parameters as diagnostic ones is justified, the control points are chosen, and the necessary accuracy and unambiguity of measurements are determined. Qualitative evaluations of the electrical processes occurring in the power supply circuit of ED from a high-voltage accumulator battery for the selection of diagnostic parameters according to the criteria of sensitivity, informative character, stability and manufacturability of measurements are presented. It has been revealed that during HDEPS diagnostics both stable and transient modes of operation of electric machines should be considered; for analysis of ED technical state it is necessary to have information about current mode of HDEPS load; for measurement of instantaneous values of supply voltage and consumption current it is necessary to select the sensors with short response time and linear conversion function. In terms of sensitivity to structural changes in the circuit and parametric deviations, it is necessary to choose, as diagnostic parameters, the voltage or current, depending on the mode of operation of the ED and the point of measurement of the electrical value. The obtained results are the basis for creating a new system of diagnostics of electric power supply HDEPS in this direction.

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13

Hwang, Kwang-Il. "Measurement of Electric Power Consumption of Residences in Southeastern Fishing Village of Korea." Journal of Korean navigation and port research 36, no. 6 (August 31, 2012): 501–6. http://dx.doi.org/10.5394/kinpr.2012.36.6.501.

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14

Wijaya, I. Ketut. "Effect of Enhanced Air Temperature (extreme heat), and Load of Non-Linear Against the Use of Electric Power." Majalah Ilmiah Teknologi Elektro 14, no. 2 (December 30, 2015): 64. http://dx.doi.org/10.24843/mite.2015.v14i02p12.

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Usage Electric power is very easy to do, because the infrastructure for connecting already available and widely sold. Consumption electric power is not accompanied by the ability to recognize electric power. The average increase of electricity power in Bali in extreme weather reaches 10% in years 2014, so that Bali suffered power shortages and PLN as the manager of electric power to perform scheduling on of electric power usage. Scheduling is done because many people use electric power as the load of fan and Air Conditioner exceeding the previous time. Load of fan, air conditioning, and computers including non-linear loads which can add heat on the conductor of electricity. Non-linear load and hot weather can lead to heat on conductor so insulation damaged and cause electrical short circuit. Data of electric power obtained through questionnaires, surveys, measurement and retrieve data from various parties. Fires that occurred in 2014, namely 109 events, 44 is event caused by an electric short circuit (approximately 40%). Decrease power factors can cause losses of electricity and hot. Heat can cause and adds heat on the conductor electric. The analysis showed understanding electric power of the average is 27,700 with value between 20 to 40. So an understanding of the electrical power away from the understand so that many errors because of the act own. Installation tool ELCB very necessary but very necessary provide counseling of electricity to the community.

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Lyakhomskii, Aleksandr, Anton Petrochenkov, Aleksandr Romodin, Evgenia Perfil’eva, Sergey Mishurinskikh, Andrei Kokorev, Aleksandr Kokorev, and Sergei Zuev. "Assessment of the Harmonics Influence on the Power Consumption of an Electric Submersible Pump Installation." Energies 15, no. 7 (March 25, 2022): 2409. http://dx.doi.org/10.3390/en15072409.

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Oil production is a complex technological process that requires significant electricity consumption. The main electricity consumers in oil and gas production workshops are artificial lift facilities. Currently, among the objects of mechanized mining, installations of electric submersible pumps are widespread. When planning technological modes, it is necessary to be able to assess the change in the power consumption parameters when changing the technological process parameters. The paper proposes a typical replacement scheme for the electrical complex element. The power consumption calculation of electric submersible pump installations has been carried out. The error in the power consumption modeling results of electric submersible pump installations in comparison with the results of instrumental measurements is no more than 10%. The estimation of additional losses of electric energy caused by the influence of harmonics is carried out. The proposed technique makes it possible to estimate the power consumption of an electric submersible pump installation when changing the parameters of the technological process and equipment. The results of the work can be used for planning material support and optimization of warehouse stocks within the framework of integrated logistics support for the technological process of industrial enterprises.

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Shen, Ye, Andreas Viehmann, and Stephan Rinderknecht. "Investigation of the power losses of the hybrid transmission DE-REX based on modeling and measurement." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 14 (February 18, 2019): 3646–57. http://dx.doi.org/10.1177/0954407019829655.

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Electric and hybrid powertrains are developed to reduce the energy and fuel consumption of vehicles. Recently, multi-speed transmission systems were discussed for further reduction of the energy consumption of electric vehicles. Therefore, analyzing the power losses of such transmissions is of interest. In this paper, the novel powertrain concept DE-REX (Two-Drive-Transmission with Range-Extender) and the experimental investigation of its overall power losses is first introduced. A method is then developed to model and analyze the power losses of this hybrid transmission based on experimental data. After the validation of the method, the overall power loss model is eventually applied to estimate the power losses of the transmission at other driving modes, which were not measured on the test rig. The method is used to understand the characteristics of power losses inside the transmission in a hybrid powertrain and to optimize powertrain power losses in future.

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Volodarskyi, E., and A. Voloshko. "Correction for the deviation of power system frequency in the measurement of power by digital techniques." Metrology and instruments, no. 3 (July 3, 2019): 27–32. http://dx.doi.org/10.33955/2307-2180(3)2019.27-32.

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The saturation of power supply systems with nonlinear and powerful sources both from sources and consumers of electricity has led to the fact that signals in the network become non-stationary, nonlinear, and with significant frequency fluctuations. The purpose of the work is to reduce the methodological error of determining the parameters of the mode of electricity consumption due to the frequency deviation in the electrical network. The article proposes methods based on the determination of the frequency deviation value and the introduction of correction coefficients (for example, the calculation of active power and voltage in the electric network). The proposed methods are applied to both sinusoidal and non-sinusoidal signal forms. The results show that these methods have high accuracy, even with signals containing harmonics, and for a frequency deviating from the nominal value.

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18

Yu, Hui Jun, Zhi Wei Zhou, Cai Biao Chen, and Ju Hui Gu. "Design of Locomotive Energy Consumption Monitoring System." Advanced Materials Research 960-961 (June 2014): 1325–30. http://dx.doi.org/10.4028/www.scientific.net/amr.960-961.1325.

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The paper introduces the structure of locomotive energy consumption monitoring system, technical parameters and the method of software design. The system uses electric energy metering chip CS5463, ARM kernel STM32F103R8T6, GPRS wireless communication module and RS485 communication interface to realize the multi-system locomotive AC and DC measurement, remote meter reading and other devices and locomotive communication connection. The liquid crystal display LCD stores the locomotive power information, the current, voltage, power and energy data with their own real-time clock time-sharing data fragmentation such as type test on the system, the system of high precision, strong anti-interference ability, low power consumption, safety etc.

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19

Chen, Hao, Zhi Kun Luo, Chao Long Ou, Fu Sheng Chen, Jie Xiang, Li Man Shen, E. Ying Li, and Rui Huang. "Research on the Impact of Power Grid Harmonic on Energy Meter and its Solution Methods." Applied Mechanics and Materials 700 (December 2014): 88–93. http://dx.doi.org/10.4028/www.scientific.net/amm.700.88.

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This paper presents a power consumption model with harmonics existing in power system, the influence of harmonic linear load and the influence of nonlinear load energy metering is discussed, then the analysis of the impact of the harmonic of induction watt-hour meter and electronic watt-hour meter measurement features is given. In the next part, the measurement principle of harmonic watt-hour meter is introduced, and a new type of electric energy metering scheme based on harmonic watt-hour meter is given, so that the electric energy metering fairness problem caused by power grid harmonic will be solved effectively.

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20

Trujillo, Armando E. Garcia. "Harmonics influence on power and energy measurements." International journal of physical sciences and engineering 3, no. 1 (March 16, 2019): 32–41. http://dx.doi.org/10.29332/ijpse.v3n1.254.

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To carry out the control and trade of electric energy, power and energy meters are used profusely. This article discusses the differences in the power and energy readings of the measuring instruments of different types and their use for the control of the quality of the supply and consumption of electrical energy. The contradictions of these readings are analyzed when measured in consumers of non-linear loads, generators of harmonics, and of linear loads, consumers of them. Simulation methods are used to show how harmonic propagation occurs in the system. MATLAB Simulink is used as a method of simulation with generating harmonics loads and linear loads. It analyzes how the parameters of the energy quality of the consumers can be affected and it is proposed to use the measurement of the active power of the harmonics as a means of control and penalization.

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Rashid, Mofeed. "Design and Implementation of Smart Electrical Power Meter System." Iraqi Journal for Electrical and Electronic Engineering 10, no. 1 (June 1, 2014): 1–14. http://dx.doi.org/10.37917/ijeee.10.1.1.

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In recent years, increased importance of Smart Grid, which includes monitoring and control the consumption of customers of electric power. In this paper, Wireless Smart Electrical Power Meter has been designed and implemented which ZigBee wireless sensor network (WSN) will be used for wireless electrical power meter communication supported by PIC microcontroller which used for power unit measurements. PIC microcontroller will be used for evaluating all electric power parameters at costumer side like Vrms, Irms, KWh, and PF, and then all these parameters will be send to base station through wireless network in order to be calibrated and monitored.

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Sahrane, Selim, and Mourad Haddadi. "Near Real-Time Low Frequency Load Disaggregation." ENP Engineering Science Journal 1, no. 2 (December 31, 2021): 50–54. http://dx.doi.org/10.53907/enpesj.v1i2.15.

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Device-level power consumption information can lead to considerable energy savings. Smart meters are being adopted in several countries, but they are only capable of measuring the total power consumption. NonIntrusive Load Monitoring (NILM) aims to infer the power consumption of individual electrical loads by analyzing the aggregate power signal taken from a single-point measurement. Most existing NILM solutions are offline methods that do not allow the end-user to get real-time feedback on his energy consumption. In this paper, we present a near real-time NILM solution based on multi-label classification and multi-output regression. We use the multi-label classifier to predict the state of each load and use the multi-output regressor to estimate the disaggregated active power consumptions. We test our method using a publically available dataset of real power measurements. Performance results show that the proposed near real-time method can accurately estimate the energy consumption of the targeted loads with an average relative energy error of 1.55 %.

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Gheorghe, A. C., E. Stan, and I. Udroiu. "Electricity Consumption Measurement System Using ESP32." Scientific Bulletin of Electrical Engineering Faculty 21, no. 2 (December 1, 2021): 23–26. http://dx.doi.org/10.2478/sbeef-2021-0017.

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Abstract The paper proposes the development of an IoT measurement system that offers the user the possibility to monitor and record the electricity consumed by a consumer through the Blynk application. In monitoring electricity one of its most important aspects is the calibration of the sensors used. Accurate and reliable detection is the key factor in measuring and managing electrical equipment. Fundamental physical quantities such as voltage and current are useful for determining all other electrical quantities. The ESP32 development board used to develop the system has 18 channels ADC (analog to digital converter) and supports a Wi-Fi connection at the access point and implicitly to the internet. The developed system can measure the voltage (U), current (I), power consumption (W) and consumption / hour (kWh) of a consumer, in my case for the consumer I used a light bulb with a power given by the manufacturer of 10W. The measured values are displayed on the LCD display of the system or through the Blynk application which also allows the registration of these values for a period of 12 months.

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Han, Peng, and Yang Li. "The Design and Implementation of Ship Electric Field Measurement System Based on MSP430." Advanced Materials Research 622-623 (December 2012): 1378–83. http://dx.doi.org/10.4028/www.scientific.net/amr.622-623.1378.

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The ship electric field has become a new physical field which is widely concerned at home and abroad in recent years. For the research of ship electric field, one of the most effective methods is to measure it underwater. According to the analysis of ship electric field signal’s characteristics, the ship electric field measurement system based on MSP430F149 was designed and the key technologies of software and hardware were also presented in this paper. The results of experiment demonstrated that the system could effectively measure the ship electric field signal in a low SNR. Meanwhile, it has the advantages of low power consumption, high accuracy and credible.

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Feng, Wei Yuan, Xue Feng Dong, Xu Dong Yu, Shuang Wen Wang, and Zhong Jing Liu. "Impact Factor Estimation on Power Quality to Electric Power Market." Applied Mechanics and Materials 448-453 (October 2013): 2667–72. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.2667.

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Power quality and power marketing are comprehensive concept contains multiple indexes. This paper builds the index system of the power quality promoting the power market development. And the structural equation modeling (SEM) be used to calculate the impact factor of power quality to marketing at different times and areas. This paper firstly puts power quality and marketing which are regarded as latent variables. And select the power quality index that includes the amplitude, frequency, spectrum, modulation, the notch depth and marketing index that includes market share, electricity consumption per capita, customer satisfaction rate, install electricity rate, customer loss rate as measured variables of latent variables, and establish the causal influence path graph of power quality and power marketing. According to the path graph, which reflecting causal relationships among the latent variables and the measurement equation reflecting relationship between the latent variable and significant variables. To test the significance and the rationality of the parameter and evaluate the overall performance of the structure equation model. Finally, according to the path graph and the path coefficient, we get causal influence coefficient between the power quality comprehensive index and power marketing comprehensive index.

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Yunus, Muhammad Yusuf, and Marhatang Marhatang. "Implementasi Labview Untuk Pemantauan Pemakaian Energi Listrik." JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) 2, no. 1 (April 26, 2018): 21–30. http://dx.doi.org/10.21070/jeee-u.v2i1.1321.

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In conventional electric measurement devices, measurements are made on the use of electrical energy as a whole where consumers can only see information on the results of the use of electrical energy by looking at the total power consumption amount indicated on the meter kWh meter. Based on the above problems, the author aims to raise the title "Design of Monitoring System of Electricity Energy Usage using LabVIEW". The LabVIEW program has the ability to measure, monitor and store data quickly and accurately. With this tool will be realized a design system monitoring the use of electrical energy in real time through the computer instead of kWH meter analog or digital. This concept is one of the energy management solutions that enable consumers to obtain statistical data on electrical energy consumption in detail. From the results of monitoring the use of loads, obtained very good results in monitoring the usage of energy, which in this case using household burden.

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Hasan, Maha Yousif, and Dheyaa Jasim Kadhim. "Efficient Energy Management for a Proposed Integrated Internet of Things-Electric Smart Meter (2IOT-ESM) System." Journal of Engineering 28, no. 1 (January 1, 2022): 108–21. http://dx.doi.org/10.31026/j.eng.2022.01.08.

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In this work, an efficient energy management (EEM) approach is proposed to merge IoT technology to enhance electric smart meters by working together to satisfy the best result of the electricity customer's consumption. This proposed system is called an integrated Internet of things for electrical smart meter (2IOT-ESM) architecture. The electric smart meter (ESM) is the first and most important technique used to measure the active power, current, and energy consumption for the house’s loads. At the same time, the effectiveness of this work includes equipping ESM with an additional storage capacity that ensures that the measurements are not lost in the event of a failure or sudden outage in WiFi network. Then then these measurements are sent using the internet of thing (IoT) technology to Google Firebase cloud, where the electric consumer's service center is located to store, analyze the measured data, and detect cases of energy penetration when it exceeds 53 and the cases of the electrical energy theft if any below 20 and then take the appropriate decision about it. Finally, an electric smart metering application (ESM-app) is designed and implemented to read and pull data information from the Google firebase cloud and then send the electric bill to the end consumer, and sending alert messages to the thieves and electrical power hackers to prohibit them if something wrong has detected. In this work, an efficient energy management (EEM) approach is proposed to merge IoT technology to enhance electric smart meters by working together to satisfy the best result of the electricity customer's consumption. This proposed system is called an integrated Internet of things for electrical smart meter (2IOT-ESM) architecture. The electric smart meter (ESM) is the first and most important technique used to measure the active power, current, and energy consumption for the house’s loads. At the same time, the effectiveness of this work includes equipping ESM with an additional storage capacity that ensures that the measurements are not lost in the event of a failure or sudden outage in WiFi network. Then then these measurements are sent using the internet of thing (IoT) technology to Google Firebase cloud, where the electric consumer's service center is located to store, analyze the measured data, and detect cases of energy penetration when it exceeds 53 and the cases of the electrical energy theft if any below 20 and then take the appropriate decision about it. Finally, an electric smart metering application (ESM-app) is designed and implemented to read and pull data information from the Google firebase cloud and then send the electric bill to the end consumer, and sending alert messages to the thieves and electrical power hackers to prohibit them if something wrong has detected.

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Gálik, R., I. Karas, Z. Tkáč, and J. Orság. "Measurement of exploitation parameters of the hen feeding line." Research in Agricultural Engineering 52, No. 2 (February 7, 2012): 55–60. http://dx.doi.org/10.17221/4880-rae.

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The paper deals with the analysis of the operation of a hen feeding line in the reproduction breeding hall at the floor stabling type combined with the deep bedding on grates. We have measured the hen feeding line operation time in accordance with STN 47 0120, the losses of the fodder spilled by hens during a single feeding and the consumption of electricity of the observed line. As a result of the failure to carry out regular technical maintenance of the line as a preventive measure against the origin of defects, a relatively low value of the productive time use coefficient (0.77) was detected. Based on the analysis of the consumption of electric power, the electric engines driving individual segments of the line were found to be correctly dimensioned. Using the monitored technology, we managed to record excessive losses of the spilled feed mixture from the chain trough. For the whole farm it represents up to 702.8 kg of feedstuff per a day. The detected losses are very negatively projected into the economy of the production of one-day chickens. A negative and statistically highly conclusive correlation coefficient (r = –0.9230**) was recorded between the chickens age and the losses of feed.

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Agorastou, Zoi, Thomas Noulis, and Stylianos Siskos. "Analog Sensor Interface for Field Mill Sensors in Atmospheric Applications." Sensors 22, no. 21 (November 1, 2022): 8405. http://dx.doi.org/10.3390/s22218405.

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An overview of the electric field mill sensor specifications in applications related to the measurement of the atmospheric electric field was conducted. The different design approaches of the field mill sensor interface are presented and analyzed, while the sensitivity-related parameters of a field mill are discussed. The design of a non-complex analog sensor interface that can be employed for the measurement of the electric field in both fair and foul weather conditions, such as thunderstorms, is implemented using discrete components for experimental validation and is optimized in an integrated version in terms of noise and power consumption. Advanced noise simulations are conducted in a 180 nm CMOS process (XH018 XFAB). The energy-autonomous operation of the sensor for extended periods of time is made feasible due to the low power consumption of the front-end circuitry (165 μW at 3 V) as well as the proposed intermittent style of operation of the motor. The total sensing system is low power, and its realization is simple and cost-effective, while also offering adequate sensitivity (45 mV/kV/m), making it comparable to the existing works.

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Fuping, Zhao, Liu Rongmei, He Bei, Zheng Ke, Hu Xiaorui, Ji Jing, and Hui Yan. "A Fast Electrical Energy Measurement Device and Power Consumption Detection Method of Electric Vehicle Charger." International Journal of Grid and Distributed Computing 9, no. 9 (September 30, 2016): 37–46. http://dx.doi.org/10.14257/ijgdc.2016.9.9.04.

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HAYASHI, Akio, Ryuta SATO, and Keiichi SHIRASE. "Measurement and Evaluation of Electric Power Consumption of Feed Drive Systems in NC Machine Tool." Journal of the Japan Society for Precision Engineering 79, no. 10 (2013): 930–36. http://dx.doi.org/10.2493/jjspe.79.930.

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32

Zhao, Mingyue, Yuqing Niu, Lei Tian, Yizhi Liu, and Qiang Zhai. "Impact Measurement of COVID-19 Lockdown on China’s Electricity-Carbon Nexus." International Journal of Environmental Research and Public Health 18, no. 18 (September 15, 2021): 9736. http://dx.doi.org/10.3390/ijerph18189736.

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Lockdown measures to prevent the spread of coronavirus disease 2019 (COVID-19) resulted in the plummeting of China’s overall electric-power demand and production. To date, power generation remains one of the largest carbon dioxide (CO2) emitting sectors of China on account of its high carbon intensity. Within this context, our study seeks to measure the impacts of COVID-19 lockdown on the electricity-power related carbon footprints on both generation and consumption sides. Built on statistical data of electricity generation and consumption released by the National Bureau of Statistics of China (NBSC), we calculate he nationwide electricity related CO2 emission changes in regional, economic-sectoral and technological dimensions during January–April 2020, when the strictest lock-down measures were taken in China and compare the results with the same months of the year prior. Our results show that both east and central China power grids witnessed drastic reduction (15.0% and 13.8%) in electricity-generation caused CO2 emissions; and the biggest falls of provincial-scale electricity-generation CO2 emission took place in Hubei (27.3%). Among China’s electricity production mix, coal remains the biggest CO2 emitter and contributed 95.7% of the overall nationwide reduction. The most significant decline of the nationwide consumptive-electricity carbon footprint was by 10.1% in February, with the secondary economic sector the biggest contributor.

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Wang, San Qiang, Xing Zhe Hou, Yan Lin Liu, and Qiu Hui Zhuang. "Electronic Type Electric Energy Meter Calibrating Method Application Research." Applied Mechanics and Materials 278-280 (January 2013): 994–97. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.994.

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With the progress of science and technology, electronic type electric energy meter is widely used in electric energy metering and charging in China, especially in rural power network reform, investment, electronic type electric energy meter with its linearity, stability is good, the power consumption of small, voltage and frequency response speed, high measurement precision, to further improve the market share, but how to test electronic type electric energy meter, but has been puzzling the test technical staff, according to the practical experience on the above problem undertakes a few discuss. This paper analyzes the electronic type electric energy meter principle, characteristics, focus on the research of the electric energy meter calibration method, the electronic type electric energy meter calibrating idea and train of thought.

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Turcu, Flaviu, Andrei Lazar, Vasile Rednic, Gabriel Rosca, Ciprian Zamfirescu, and Emanuel Puschita. "Prediction of Electric Power Production and Consumption for the CETATEA Building Using Neural Networks." Sensors 22, no. 16 (August 20, 2022): 6259. http://dx.doi.org/10.3390/s22166259.

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Economic and social development is hardly influenced by electric power production and consumption. In this context of the energy supply pressure, energy production and consumption must be monitored and controlled in an intelligent way. Due to the availability of large data measurements, prediction algorithms based on neural networks are widely used in accurate power prediction. Firstly, the particularity of our work is represented by the size of the dataset consisting of 4 years of continuous real-time data measurements collected from the CETATEA photovoltaic power plant, a research site for renewable energies located in Cluj-Napoca, Romania. Secondly, the high granularity of the dataset with more than 4.2 million unified production and consumption power values recorded every 30 s guarantees the overall prediction accuracy of the system. Performance metrics used to evaluate the prediction accuracy are the mean bias error, the mean square error, the convergence time of the prediction system, the test performance, and the train mean performance. Test results indicate that the predicted unified electric power production and consumption closely resembles the unified electric power measured values.

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35

Macii, D., R. Corradi, and D. Petri. "A Measurement-Based Power Consumption Simulator for Bluetooth Modules." IEEE Transactions on Instrumentation and Measurement 58, no. 5 (May 2009): 1592–601. http://dx.doi.org/10.1109/tim.2008.2009203.

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36

Rahmadya, Budi Rahmadya. "Sistem Monitoring Konsumsi Daya Listrik Dengan Mengimplementasikan Bluetooth Low Energy." JITCE (Journal of Information Technology and Computer Engineering) 5, no. 01 (March 31, 2021): 33–40. http://dx.doi.org/10.25077/jitce.5.01.33-40.2021.

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Electricity becomes a major need for human in this era. PLN's electricity payment system in residential areas is divided into two ways, postpaid electricity and prepaid electricity. Prepaid electricity using digital kWh meter that shows the use of current, electric power, etc on LCD. The usage of current and electric power can be monitored using Android application using Bluetooth Low Energy (BLE) as communication media. BLE has many advantages module compared to classic bluetooth, for example having a wider range, data transfer speeds up to 1 Mbps, and low power consumption. Therefore the writer researched by implementing Bluetooth Low Energy in the electric power monitoring system. The results of this research showed that the electric power monitoring system and the BLE module could send the result of sensor measurement to android applications. From the testing that has been done showed that the BLE send module can be up to 25 meters distance for unhindered conditions and 8 meters with hindered conditions. And the BLE module energy consumption is more efficient than HC-05 energy comparison BLE module 5,728 mW and the HC-05 module 13.47 mW.

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Ibarra Bolaños, Germán Alejandro, Jorge Mario Arboleda Mena, Gustavo López, and Yohan Rojas. "Experimental study of the characteristic curves of 0.5 HP radial pump with constant speed." Scientia et Technica 25, no. 4 (December 30, 2020): 534–39. http://dx.doi.org/10.22517/23447214.23701.

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Radial (centrifugal) pumps are commonly used in industry and represent 22% of total consumption of the energy worldwide. The understanding of their operating conditions is important for a proper selection and use, specifically at the Best Efficient Point (BEP). This study analyzed the variation of the operating conditions of a common, small pump when the flow is regulated with a control valve at the pump discharge, keeping the rotational speed constant. The system consists in a closed loop using a turbine meter programmed in Arduino for flowrate measurement. The electric power and energy consumption were provided by an electronic Wattmeter, and the pressure at the suction/discharge of the pump was taken from Bourdon gauges. The minimum submergence of the pump intake was calculated with the Standard ANSI-HI-9.8 and the Bourdon gauges selection followed the recommendations of the Standard ASME B40.100-1998. All the measurements are part of the Energy equation for the pump-motor system (monoblock unit), whose H-Q curve is compared to manufacturer’s curve with reasonable agreement that served as validation. The electric power curve is the evidence that the flow regulation method is unappropriated because the power consumption increases as the flow is regulated. At the end, the efficiency curve of the motor-pump unit was presented, with a maximum value of 12%. The shock and recirculation losses are present, but the electrical losses are evidenced through excessive heating. The test bench will have a better pump and a variable frequency drive for further studies.

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Lin, Wei, Bing Cheng Yuan, and Zhong Hua Bao. "The Design of an Ultra Low Power and Mobile Measurement System of Underwater Target Remote Detection." Applied Mechanics and Materials 148-149 (December 2011): 676–79. http://dx.doi.org/10.4028/www.scientific.net/amm.148-149.676.

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A Ship in the sea generates electric field around it, which can become a great threat to ship’s safety. In this paper, a measurement system for the ship’s electric field signature was developed, and some key points about the design issue such as ultra low power consumption, low self-noise and big memory capability were discussed detailedly. Finally, a sea test was carried out to verify the presented system, which shows that the developed system runs reliably and meets the requirement of application well.

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39

Hou, Linfei, Liang Zhang, and Jongwon Kim. "Energy Modeling and Power Measurement for Mobile Robots." Energies 12, no. 1 (December 22, 2018): 27. http://dx.doi.org/10.3390/en12010027.

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To improve the energy efficiency of a mobile robot, a novel energy modeling method for mobile robots is proposed in this paper. The robot can calculate and predict energy consumption through the energy model, which provides a guide to facilitate energy-efficient strategies. The energy consumption of the mobile robot is first modeled by considering three major factors: the sensor system, control system, and motion system. The relationship between the three systems is elaborated by formulas. Then, the model is utilized and experimentally tested in a four-wheeled Mecanum mobile robot. Furthermore, the power measurement methods are discussed. The energy consumption of the sensor system and control system was at the milliwatt level, and a Monsoon power monitor was used to accurately measure the electrical power of the systems. The experimental results showed that the proposed energy model can be used to predict the energy consumption of the robot movement processes in addition to being able to efficiently support the analysis of the energy consumption characteristics of mobile robots.

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Rama Krishnan, V. Badri, Keerthana Sandepudi, and Shaista Gazal. "An optimised system for energy monitoring and data acquisition in substations/domestic applications using IoT." E3S Web of Conferences 87 (2019): 01001. http://dx.doi.org/10.1051/e3sconf/20198701001.

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The rising demand and tariff rates of electric power have derived the need to develop innovative methods to monitor, manage, economize and save energy. Energy monitoring and conservation are pre-eminent today because of the imbalance between power generation and demand. This paper proposes the outline and application of electrical energy measurement by an Arduino micro-controller that is used to calculate the power consumed by any individual electrical device. The main intention of the presented energy meter is to monitor, acquire and interpret the power consumption data online by integrating smart plugs, sensors at the device level and upload it to the server using IoT based communication protocol. Thus, this project enables the consumer to act accordingly to save power and to render a reliable power supply by making maximum use of energy sources in the cheapest ways.

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Chen, Ce, and Xing Qi He. "Study on the Influence of Key Factors in Sichuan Province Energy Conservation that Based on the Fixed Effect Model." Applied Mechanics and Materials 644-650 (September 2014): 5943–48. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.5943.

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According to Sichuan Province 2006~2012 21 local power and energy consumption panel data, on the basis of the analysis of the electric consumption and energy consumption, the relationship between economic growth, unit GDP energy consumption and unit GDP electricity consumption, the relationship between the electricity consumption and energy consumption in the industry and the region, established analysis model of measurement of time individual fixed effects model. Have quantitative evaluation for the electricity consumption, the level of economic development, and the industrial structure to assess effects of saving energy and reducing consumption, and put forward the corresponding proposal.

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Silva dos Santos, Danilo, Fabiana Rocha Pinto, and Felipe Silva dos Santos. "Intelligent Systems as Tools for Measuring Residential Energy Consumption." International Journal for Innovation Education and Research 7, no. 11 (November 30, 2019): 213–22. http://dx.doi.org/10.31686/ijier.vol7.iss11.1873.

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The implementation of intelligent systems in homes for measuring energy consumption are possibilities that owe their viability to the IoT (Internet of Things and investments in R&D). Becoming fundamental for this change in the way of thinking and using electric power in households, buildings and especially in industry 4.0. The present work demonstrates an experiment focused on a residence for the analysis of energy consumption measurement, with the use of a nano arduino plate, current and voltage sensors, internet connection and use of the MQTT protocol making the integration in the Blynk platform. Obtaining as results voltage approximately 224V, electric current close to 3.89A, 356 points of samples for measurement of consumption and 255 points for preparation of graphs. Minimums for voltage and current 207.75V and 0.62A respectively and maximums 233.22V and 25.31A. A standard deviation of 5.54 for voltage and 3.33 for current. Analyses performed by Blynk, from estimates by mathematical modeling, considered by means of tests and it was observed that the behavior of current and voltage signals are close to the realities of energy distributors.

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Ndikade, Hasmirad, Sardi Salim, and Syahrir Abdussamad. "Studi Perbaikan Faktor Daya Pada Jaringan Listrik Konsumen Di Kecamatan Katobu Kabupaten Muna." Jambura Journal of Electrical and Electronics Engineering 4, no. 1 (January 9, 2022): 52–59. http://dx.doi.org/10.37905/jjeee.v4i1.11989.

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Abstrak—Besarnya daya aktif yang bisa kita gunakan yang ditentukan oleh besarnya nilai cosφ atau faktor daya yang terukur di jaringan listrik. Untuk mengatasi masalah beban daya listrik yang besar di pelanggan dibutuhkan perbaikan faktor daya agar daya dapat digunakan secara maksimal. Dalam menentukan perbaikan faktor daya penting untuk mengetahui besar persen perbaikan yang dibutuhkan. Penelitian ini bertujuan untuk mengetahui pengaruh Cosφ terhadap pemakaian daya pada konsumen kWh meter prabayar satu phasa dan persen perbaikan Cosφ untuk memperbaiki faktor daya pada konsumen. Penelitian ini dilakukan dengan metode pengukuran langsung pada rumah milik pelanggan, pengukuran pemakaian daya hasil pengukuran listrik dilakukan sesuai standar PLN. Hasil penelitian menunjukkan pengaruh Cosφ terhadap pemakaian daya listrik konsumen pada daya 2.200 VA sebesar 12,765 Watt, daya 1.300 VA sebesar 7,02 Watt, daya 900 VA sebesar 8,696 Watt. Sedangkan besar persen perbaikan Cosφ untuk memperbaiki faktor daya pada daya 2.200 VA sebesar 3,961%, daya 1.300 VA sebesar 2,941%, daya 900 VA sebesar 7,254%. Kata kunci: Perbaikan Faktor Daya; kWh Abstract- The amount of usable active power is determined by the value of Cosφ or the measured power factor in the power grid. To overcome the problem of customers' large electrical power loads, it is necessary to improve the power factor so that power can be used optimally. In determining the power factor improvement, it is essential to know the percentage of repair needed. This study aimed to determine the effect of Cosφ on the power consumption of single-phase prepaid kWh meters and the percent improvement of Cos to improve the power factor of consumers. This research was conducted using the direct measurement method at the customers' houses. The measurement of power consumption resulting from electrical measurements was carried out according to PLN standards. The results showed the effect of Cosφ on electric power consumption at 2,200 VA of 12,765 Watt, 1,300 VA of 7,02 Watt, 900 VA of 8,696 Watt. Meanwhile, the percentage of improvement in Cos" was to improve the power factor at 2,200 VA power of 3.961%, 1,300 VA power of 2.941%, 900 VA power of 7.254%. Keywords: Power Factor Improvement; kWh

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Zhang, Shuan Ji, Yu Jie Xia, and Min Zhe Zhang. "Software Design and Prepayment of Intelligent Electric Meter." Advanced Materials Research 753-755 (August 2013): 2649–52. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.2649.

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This paper gives a solution of prepayment and software design in the intelligent electric meter. Firstly introduces the development and the future trend of the meter, the overall design scheme is given, a software platform built. Then the design of the CPU IC card circuit, IC card processing program, and the main program, real-time power program and electricity consumption measurement program are also designed. System uses LPC2290 as the main control chip, using ADI company ADE7755 electric energy metering chip, the software uses the modular design, not only can realize the measurement of electric energy, but also can accomplish the communication with the host computer, easy to build energy platform for energy management and control etc.

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45

Mutule, A., I. Zikmanis, and A. M. Dumitrescu. "Electric Consumption Assessment using Smart Meter Data and KPI Methodology." Latvian Journal of Physics and Technical Sciences 57, no. 3 (June 1, 2020): 3–19. http://dx.doi.org/10.2478/lpts-2020-0011.

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AbstractIn the modern world, many cities make use of state-of-the-art technologies for a diversity of applications. A field with very specific needs is the electric power system that deals with both large entities that govern themselves (grid operators) and the citizens. For both and all actors in between, there is an increased need for information. Steps to provide these data are always taken and several initiatives are ongoing across the world to equip residential users with last generation smart meters. However, a full deployment is still not possible. Considering this aspect, the authors propose KPIs for the specific situation when some information is available from the meters and other sources, but some is not. The study case is based on a residential area occupied mainly by university students and after an extensive measurement campaign the results have been studied and analysis methods proposed.

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46

Xu, Chufan, and Ming Wen. "The consistency measure of hunan’s electric power industry prosperity index." E3S Web of Conferences 341 (2022): 01023. http://dx.doi.org/10.1051/e3sconf/202234101023.

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In view of the problem that the traditional electric power prosperity index lacks the support of the mixed frequency and multi-dimension data, a new consistency measure method is constructed, which uses time difference correlation analysis and principal component and consider the linkage of electric power and economy at the same time. Take the Hunan province for example, we set the pool of kinds of sectional electricity power consumption and other relatives data, use the method of principal component analysis to capture main character of electricity’s change. The results show that the proposed consistency measurement model can describe the fluctuation characteristics of Hunan’s Power Prosperity Index well. The model can be used for monitor the changes in the power industry status and promoting the policy-making about the adjustment of the energy-saving and environment-friendly structure.

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47

Prajwowski, Konrad, Wawrzyniec Golebiewski, Maciej Lisowski, Karol F. Abramek, and Dominik Galdynski. "Modeling of Working Machines Synergy in the Process of the Hybrid Electric Vehicle Acceleration." Energies 13, no. 21 (November 6, 2020): 5818. http://dx.doi.org/10.3390/en13215818.

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There are many different mathematical models that can be used to describe relations between energy machines in the power-split hybrid drive system. Usually, they are created based on simulations or measurements in bench (laboratory) conditions. In that sense, however, these are the idealized conditions. It is not known how the internal combustion engine and electrical machines work in real road conditions, especially during acceleration. This motivated the authors to set the goal of solving this research problem. The solution was to implement and develop the model predictive control (MPC) method for driving modes (electric, normal) of a hybrid electric vehicle equipped with a power-split drive system. According to the adopted mathematical model, after determining the type of model and its structure, the measurements were performed. There were carried out as road tests in two driving modes of the hybrid electric vehicle: electric and normal. The measurements focused on the internal combustion engine and electrical machines parameters (torque, rotational speed and power), state of charge of electrochemical accumulator system and equivalent fuel consumption (expressed as a cost function). The operating parameters of the internal combustion engine and electric machines during hybrid electric vehicle acceleration assume the maximum values in the entire range (corresponding to the set vehicle speeds). The process of the hybrid electric vehicle acceleration from 0 to 47 km/h in the electric mode lasted for 12 s and was transferred into the equivalent fuel consumption value of 5.03 g. The acceleration of the hybrid electric vehicle from 0 to 47 km/h in the normal mode lasted 4.5 s and was transferred to the value of 4.23 g. The hybrid electric vehicle acceleration from 0 to 90 km/h in the normal mode lasted 11 s and corresponded to the cost function value of 26.43 g. The presented results show how the fundamental importance of the hybrid electric vehicle acceleration process with a fully depressed gas pedal is (in these conditions the selected driving mode is a little importance).

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48

Macii, David, and Dario Petri. "An Effective Power Consumption Measurement Procedure for Bluetooth Wireless Modules." IEEE Transactions on Instrumentation and Measurement 56, no. 4 (August 2007): 1355–64. http://dx.doi.org/10.1109/tim.2007.900132.

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49

Asri, Yessy, Dwina Kuswardani, Efy Yosrita, and Ferdinand Hendrik Wullur. "Clusterization of customer energy usage to detect power shrinkage in an effort to increase the efficiency of electric energy consumption." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 1 (April 1, 2021): 10. http://dx.doi.org/10.11591/ijeecs.v22.i1.pp10-17.

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<span>Automatic meter reading (AMR) is a reading system result the measurement of electrical energy consumen, both locally and remotely. The problems faced is the high non-technical shrinkage of AMR customers due to installation, maintenance errors as well as dishonest actions some consumers, this has a major influence on electrical power losses. PT. PLN Disjaya currently faces difficulties having to choose which customers should be checked first, so the field can only find a little damage. The K-means method based on historical electric power usage and determine the most optimal number of groups the davies-bouldin index (DBI) method. Based on the results of testing with 2-6 sets of clusters, the cluster set results are the most optimal is set cluster 4 because it has the smallest DBI value 0.893. The set of 4 clusters has the best performance in data grouping of historical power usage of AMR customers the business class, each centroid of each cluster is used as an attribute and value of the AMR customer power usage business chart. The testing phase is customers who categorized as customers with un-normal usage electricity power. The test is, by determining the distance data testing each centroid in the cluster 4 set.</span>

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Gebbe, Christian, Fabian Klemm, Simon Zhai, and Gunther Reinhart. "Estimating Machine Power Consumptions through Aggregated Measurements and Machine Data Acquisition." Applied Mechanics and Materials 655 (October 2014): 61–66. http://dx.doi.org/10.4028/www.scientific.net/amm.655.61.

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Monitoring the electric power consumption of machines in manufacturing becomes more and more important due to rising electricity costs and environmental awareness. This paper proposes a cost-efficient monitoring concept requiring significantly fewer electricity meters. Power consumption of several machines is monitored aggregately and then broken down into the estimated power consumption of each machine by means of a disaggregation procedure utilizing machine data acquisition. In this paper the disaggregation procedure is presented, uncertainty limitations are discussed and an application example of an industrial environment is given.

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Статті в журналах з теми "Electric power consumption Measurement"

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