Journal articles: 'Electric power production'

1

VALENZUELA, JORGE, and MAINAK MAZUMDAR. "Statistical analysis of electric power production costs." IIE Transactions 32, no. 12 (December 2000): 1139–48. http://dx.doi.org/10.1080/07408170008967468.

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Fouhad, Chaimaa, Mohamed El Khaili, and Mohammed Qbadou. "Electric Power Production Modeling for Optimal Driving." Procedia Computer Science 175 (2020): 427–34. http://dx.doi.org/10.1016/j.procs.2020.07.060.

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Wright, Tim. "Electric Power Production in Pre–1937 China." China Quarterly 126 (June 1991): 356–63. http://dx.doi.org/10.1017/s0305741000005257.

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Many important issues in modern Chinese history are crucially affected by the magnitude and pattern of economic growth up to 1937. Despite the work of John Key Chang and more recently Thomas Rawski, however, we still know all too little about the quantitative aspects of that growth. All scholars of the period are greatly indebtedto Chang's pioneering and indispensame work on industrial production but, as he himself points out, his index remains tentative and exploratory. Although the compilation of a definitive new index will eventually depend on work by scholars in China, to my knowledge this has not yet got under way. Wherever compiled, any index of industrial output as a whole, or even of national income, will have to be based on better series for individual industries. In such a context, this research note builds on Chang's work by offering a revision of the output series for one very important and rapidly growing industry in pre-1937 China, the electric power industry.

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Egorov, Alexander, Paul Bannih, Denis Baltin, Alexander Kazantsev, Anton Trembach, Elizabeth Koksharova, Victor Kunshin, Natalia Zhavrid, and Olga Vozisova. "Electric Power Systems Kit." Advanced Materials Research 1008-1009 (August 2014): 1166–70. http://dx.doi.org/10.4028/www.scientific.net/amr.1008-1009.1166.

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This article describes the problem of practical knowledge lack in modern education system and gives the solution of the problem by creating the laboratory for the scale models production. This laboratory allows to create all 110 kV, 220 kV and 500 kV power equipment in all generally accepted scales. Low price of such scale models makes the product available for students of any educational institutions.

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Arsyad, Kiagus Muhamad, Timothy Christyan, Muhammad Raidhi Mustafid R, Tasmi Tasmi, and Muhammad Zaki Almuzakki. "Mathematical Modelling in Energy Measurement Production of Water Tap Flow." Journal of Science and Informatics for Society (JSIS) 1, no. 1 (February 2, 2023): 27–33. http://dx.doi.org/10.57102/jsis.v1i1.24.

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Electric power is vital in supporting the economy of current society. Electric power can be obtained from water. Water is one of renewable energy that can be used as hydropower to produce electrical energy. The electric energy can be produced from a generator driven by a waterwheel, which means the electric energy comes from the kinetic energy of water. One of the most common sources for flowing water is from the water tap. The electric power that could be produced from flowing water with a restriction that the water flow only affected by gravitational force and come from a finite resource. In this research, a mathematical model of electric energy or electric power are developed based on kinetic energy. The change of kinetic energy with time is electric power. The mathematical model is solved numerically to find power using the Euler method; therefore, this model is able to obtain power with changes in time. The result test show that the power greatly affected by the volume and height of water. The volume and height of water are decreasing over time and also the kinetic energy and power produced from water flowing out from the water tap reduced exponentially with respect to time.

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Asada, Toyoyasu, and Yutaka Usami. "Tokyo electric power company approach to fuel cell power production." Journal of Power Sources 29, no. 1-2 (January 1990): 97–107. http://dx.doi.org/10.1016/0378-7753(90)80011-2.

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Voisin, Nathalie, Alan F. Hamlet, L. Phil Graham, David W. Pierce, Tim P. Barnett, and Dennis P. Lettenmaier. "The Role of Climate Forecasts in Western U.S. Power Planning." Journal of Applied Meteorology and Climatology 45, no. 5 (May 1, 2006): 653–73. http://dx.doi.org/10.1175/jam2361.1.

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Abstract The benefits of potential electric power transfers between the Pacific Northwest (PNW) and California (CA) are evaluated using a linked set of hydrologic, reservoir, and power demand simulation models for the Columbia River and the Sacramento–San Joaquin reservoir systems. The models provide a framework for evaluating climate-related variations and long-range predictability of regional electric power demand, hydropower production, and the benefits of potential electric power transfers between the PNW and CA. The period of analysis is 1917–2002. The study results show that hydropower production and regional electric power demands in the PNW and CA are out of phase seasonally but that hydropower productions in the PNW and CA have strongly covaried on an annual basis in recent decades. Winter electric power demand and spring and annual hydropower production in the PNW are related to both El Niño–Southern Oscillation (ENSO) and the Pacific decadal oscillation (PDO) through variations in winter climate. Summer power demand in CA is related primarily to variations in the PDO in spring. Hydropower production in CA, despite recent covariation with the PNW, is not strongly related to ENSO variability overall. Primarily because of strong variations in supply in the PNW, potential hydropower transfers between the PNW and CA in spring and summer are shown to be correlated to ENSO and PDO, and the conditional probability distributions of these transfers are therefore predictable with long lead times. Such electric power transfers are estimated to have potential average annual benefits of $136 and $79 million for CA and the PNW, respectively, at the year-2000 regional demand level. These benefits are on average 11%–27% larger during cold ENSO/PDO events and are 16%–30% lower during warm ENSO/PDO events. Power transfers from the PNW to CA and hydropower production in CA are comparable in magnitude, on average.

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Zhang, Zijun, Andrew Kusiak, and Zhe Song. "Scheduling electric power production at a wind farm." European Journal of Operational Research 224, no. 1 (January 2013): 227–38. http://dx.doi.org/10.1016/j.ejor.2012.07.043.

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Testoyedov, N. A., I. A. Potapenko, N. M. Lugovaya, V. V. Kukartsev, and M. V. Karaseva. "Analysis of electric power technologies in industrial production." IOP Conference Series: Materials Science and Engineering 919 (September 26, 2020): 062006. http://dx.doi.org/10.1088/1757-899x/919/6/062006.

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Guglielminetti, M. "Section 4 Electric power production from geothermal energy." Geothermics 14, no. 2-3 (January 1985): 157–63. http://dx.doi.org/10.1016/0375-6505(85)90057-4.

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Avramenko, A. I. "Review of the actual state of the market for autonomous energy supply systems." Power and Autonomous equipment 1, no. 1 (August 19, 2018): 6–14. http://dx.doi.org/10.32464/2618-8716-2018-1-1-6-14.

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In connection with the strongest energy dependence of modern mankind and regular accidents in the world's power systems, the use of alternative sources of electricity remains relevant. The article reviews the dynamics of the market of systems of autonomous power supply with electric generators for the last 10 years. The data on import and production of electric generators in the territory of the Russian Federation are presented. The main domestic producers of electric generating sets are given. The main exporting countries in Russia are electric power units. The positive impact of the policy of import substitution on the production of power units in the territory of the Russian Federation was noted. The tendency to growth of manufacture and import of gas manufacture of gas electric generating sets is established.Subject: the subject of the study is the state of the market of autonomous power supply systems with electric generators (EA) designed for professional long-term operation based on primary multi-cylinder engines using diesel fuel and gas. Objectives: the purpose of the study is to analyze the current state of the market of autonomous power supply systems.Materials and methods: in the course of work, a retrospective of the market of autonomous power supply systems with power units was given, dynamics of import and production of electric power units on the territory of the Russian Federation is presented.Results: the article reviews the dynamics of the market of autonomous power supply systems with electric power generators for the last 10 years. The data on import and production of electric generators in the territory of the Russian Federation are presented. The main domestic producers of electric generating sets are given. The main exporting countries in Russia are electric power units. The positive impact of the policy of import substitution on the production of power units in the territory of the Russian Federation was noted. The tendency to growth of manufacture and import of gas manufacture of gas electric generating sets is established. The need for the growth of the market of electric generating sets distribution of producers.Conclusions: forecasts are made on the future of power plants in the Russian Federation.

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Ethmane, I. A., M. Maaroufi, A. K. Mahmoud, and A. Yahfdhou. "Optimization for Electric Power Load Forecast." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (October 1, 2018): 3453. http://dx.doi.org/10.11591/ijece.v8i5.pp3453-3462.

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Load flow studies are one of the most important aspects of power system planning and operation. The main information obtained from this study comprises the magnitudes and phase angles of load bus voltages, reactive powers at generators buses, real and reactive power flow on transmission lines, other variables being known. To solve the problem of load flow, we use the iterative method, of Newton-Raphson. Analysis of the found results using numerical method programmed on the Matlab software and PSS/E Simulator lead us to seek means of controlling the reactive powers and the bus voltages of the Nouakchott power grid in 2030 year. In our case, we projected the demand forecast at 2015 to 2030 years. To solve the growing demand we injected the power plants in the system firstly and secondly when the production and energy demand are difficult to match due to lack of energy infrastructures in 2030.It is proposed to install a FACTS (Flexible Alternative Current Transmission Systems) system at these buses to compensate or provide reactive power in order to maintain a better voltage profile and transmit more power to customers.

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Jiao, Zhen, Chao Chen, and Lei Cheng. "Research on Application of character recognition technology in production and management of electric power enterprises." Advances in Economics and Management Research 5, no. 1 (August 1, 2023): 433. http://dx.doi.org/10.56028/aemr.5.1.433.2023.

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In the steady development of social economy, the electric power enterprise of our country faced with higher and higher energy consumption requirements, obtained excellent results in the technology theory innovation, gradually transformed the traditional management mode restriction, began to discuss how to quickly, promote the electric power enterprise to realize efficient management. As an important field of pattern recognition application, character recognition technology is applied in the management of electric power enterprises, which can dig more valuable content in depth on the basis of scientific processing of data information. Therefore, on the basis of understanding the current situation of production and operation of electric power enterprises, according to the basic concept and application field of word recognition technology, this paper studies how to apply word recognition technology in the field of production and operation of electric power enterprises, and puts forward corresponding management measures of electric power enterprises in the new era.

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14

Vaimer, E. V. "Features of the Initiation of Cases of Administrative Offenses in the Field of Electricity." Juridical Science and Practice 15, no. 3 (2019): 48–53. http://dx.doi.org/10.25205/2542-0410-2019-15-3-48-53.

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The article examines the features of the stage of initiating a case of administrative offenses in the electric power industry, such as: typical reasons for initiating a case, various administrative jurisdictions that decide to initiate a case of administrative offenses. The paper analyzes the preliminary powers of state and municipal bodies to carry out control and supervision measures in the field of electric power, energy security and energy efficiency. The author of the article points out that the peculiarities of initiating cases of administrative offenses in the electric power industry are caused by a complex system of relations between electric power entities arising in the process of production, transmission of electric energy, operational dispatch control, sales and consumption of electric energy, as well as the importance of this sector of the economy in public and state life. The specific features of initiating cases of administrative offenses in the electric power industry are analyzed on the basis of administrative practice materials.

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Kuehl, Alexander, Maximilian Kneidl, Johannes Seefried, Michael Masuch, Michael Weigelt, and Joerg Franke. "Production Concepts for Inductive Power Transfer Systems for Vehicles." Energies 15, no. 21 (October 25, 2022): 7911. http://dx.doi.org/10.3390/en15217911.

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The option of wireless energy transmission in electric vehicles can become the main market driver for electric vehicles due to its distinct advantages, such as range, weight, or costs, over conventional conductive charging solutions. In addition to the great potential, which different research work and realized systems have already shown, there are new requirements for the associated production networks in the automotive industry which must be addressed at an early stage. Furthermore, no solutions currently exist for the industrial production of these components. This paper presents the main components for the feasibility of wireless power transmission in electric vehicles. In addition, the required value chains and processes for the new components of the inductive power transfer systems, and the final assembly for induction coils, which has been developed at the FAU, will be presented. These include the developing of a winding process on a 15-axis special machine, ultrasonic crimping of the litz wire ends, and vacuum potting.

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Piechocki, J., P. Solowiej, and M. Neugebauer. "The use of biomass for electric power production in polish power plants." Hungarian Agricultural Engineering, no. 28 (2015): 19–22. http://dx.doi.org/10.17676/hae.2015.28.19.

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Lu, Qiang, Peng Fei Wu, Wan Xia Shen, Xue Chao Wang, Bo Zhang, and Cheng Wang. "Life Cycle Assessment of Electric Vehicle Power Battery." Materials Science Forum 847 (March 2016): 403–10. http://dx.doi.org/10.4028/www.scientific.net/msf.847.403.

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Based on Life cycle assessment (LCA) methodology, this paper analyzes the total energy consumption and greenhouse gas (GHGs), NOx, SOx and PM emissions during material production and battery production processes of nickel-metal hydride battery (NiMH), lithium iron phosphate battery (LFP), lithium cobalt dioxide battery (LCO) and lithium nickel manganese cobalt oxide (NMC) battery, assuming that the batteries have same energy capacity. The results showed that environmental performance of LFP battery was better than the other three, and that of NiMH battery was the worst. The experimental results also showed the total energy consumption of LFP battery was 2.8 times of NiMH battery and GHGs emission was 3.2 times during material production, and the total energy consumption was 7.6 times of NIMH battery and GHGs emission was 6.6 times during battery production

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Zastrelov, Denis, Ekaterina Lukina, and Ekaterina Snetova. "Methane and carbon dioxide emissions during electric power production." E3S Web of Conferences 330 (2021): 04002. http://dx.doi.org/10.1051/e3sconf/202133004002.

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The amount of greenhouse gas emissions in the “Energy sector” on the territory of the Russian Federation is presented. The estimate of potential for greenhouse gas emissions reduction in the energy sector is considered. Recommendations for reducing greenhouse gas emissions in the “Energy sector” are provided.

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Darwish, M. A. "On electric power and desalted water production in Kuwait." Desalination 138, no. 1-3 (September 2001): 183–90. http://dx.doi.org/10.1016/s0011-9164(01)00263-6.

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Glukhan'kov, V. P. "Electric power production and some principles of its distribution." Hydrotechnical Construction 23, no. 12 (December 1989): 706–7. http://dx.doi.org/10.1007/bf01440337.

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Lodhi, M. A. K., and M. Yusof Sulaiman. "Helio-aero-gravity electric power production at low cost." Renewable Energy 2, no. 2 (April 1992): 183–89. http://dx.doi.org/10.1016/0960-1481(92)90105-c.

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Ma, Lei. "The Application of Risk Identification in the Safety Production of Electric Power Enterprises." Pacific International Journal 6, no. 2 (July 1, 2023): 151–55. http://dx.doi.org/10.55014/pij.v6i2.374.

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With the continuous maturity and application of electric power technology, the electric power system has gradually moved towards the direction of large power grid, ultra-high voltage, large unit and intelligence, and the operation safety problems of electric power enterprises continue to emerge. In the safety risk management of electric power enterprises, the first thing is to evaluate the risks existing in the work of power grid. Risk assessment needs to monitor the working condition of the power system and evaluate the possible risks in the actual working process. Strengthening the risk assessment of power system and improving the safety risk assessment level of power system are of great theoretical significance and engineering application value for the future development of power system. Only by establishing the safety risk assessment system of power system can we make scientific and standardized countermeasures when emergencies occur. In the process of power engineering safety risk management, the primary task is to identify the risk factors correctly and comprehensively. Only by accurately and efficiently identifying risk factors, can we correctly grasp the law of development and change of potential risks, correctly measure the size of risks, and choose effective methods to deal with corresponding risks according to the actual situation.

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Carpenter, Chris. "Electric Parameters Assist Rod-Pump Condition Diagnosis, Production Metering." Journal of Petroleum Technology 74, no. 03 (March 1, 2022): 76–78. http://dx.doi.org/10.2118/0322-0076-jpt.

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 204785, “Research and Application of Rod-Pump Working Condition Diagnosis and Virtual Production Metering Based on Electric Parameters,” by Ruidong Zhao, SPE, Cai Wang, and Hanjun Zhao, SPE, PetroChina, et al. The paper has not been peer reviewed. The conventional configurations of the Internet of Things (IoT) related to pumping wells include an electric parameter indicator and dynamometer. If working-condition diagnosis and virtual production metering of well pumping can be realized through electrical parameters, the need for dynamometers can be eliminated or reduced, with a potentially major effect on reducing investment and improving coverage of the IoT in oil wells. In the complete paper, an integrated multimodel diagnosis method is proposed. The diagnostic and virtual-production-metering method and software based on electrical parameters have been applied in many of the operator’s oil fields. Introduction In China, more than 90% of the more than 400,000 oil wells are sucker-rod-pump (SRP) wells. At present, with the popularity of IoT in the oil field, SRP wells have accumulated massive amounts of production and operation data such as polished rod load, displacement, and electric-motor-power parameters. The working performance diagnosis and production calculation for these wells mostly are based on dynamometer cards, whose IoT costs are relatively high and whose widespread applications are limited. In contrast, the acquisition of electric parameters is much cheaper and easier than is the case with dynamometer cards, but a lack of corresponding theories and efficient methods to make use of electric parameters persists. If a power curve can be transformed to a dynamometer card accurately in the same well working condition, well diagnosis and production calculation can be realized by the generated card. At present, few reports on transforming power curves to dynamometer cards exist. The approach to generate a dynamometer card from an electric power curve is to convert 1D timeseries data to 2D load and displacement-series data. Building the mathematical transformation model to generate cards from power curves is difficult because of uncertainties related to pumping units during working. Thus, transformation methods, by virtue of deep learning, seem more promising—specifically, transforming electric power to dynamometer cards by deep learning.

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Zhang, Tong, Ke He Wu, and Wei Li. "Research and Design of the Security Area Classification Model of Electric Power Information System." Advanced Materials Research 341-342 (September 2011): 519–23. http://dx.doi.org/10.4028/www.scientific.net/amr.341-342.519.

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Because of the special position of electric power industry in national economy and social life, electric power information security has been given particular attention. In recent years, the security defense of Electric Power Information System has been all under the principle of security area classification, which applies different security defense measures for the information systems in different security level. However, because of lacking theory guidance, the recent method of security area classification is not in accord with the requirements of real production and management, and security threaten occurs at times. In order to meet the requirements of real production and management and the needs of security area classification defense in Electric Power Information System, based on the theory of network business security, a new security area classification model of Electric Power Information System has been proposed, and the access rules of the information transmission and sharing between different security areas have also been proposed. The new security area classification model can provide theoretical basis for security area classification in Electric Power Information System, and can deal with the conflict between the requirements of real production and the needs of information security.

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Zyryanov, Vyacheslav, Roman Khatylenko, and Anton Potapenko. "Current and Voltage Harmonic Analysis of the Oil Production Enterprise with Abruptly Variable Load." E3S Web of Conferences 114 (2019): 04002. http://dx.doi.org/10.1051/e3sconf/201911404002.

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The monitoring results of 6 kV diesel power plant mode parameters are presented in the paper. The diesel power plant supplies the drilling unit of the oil production enterprise. The main goal of the paper is to estimate electric power quality indexes connected with voltage unsinusoidality of the monitored off-grid power system, to compare them with specified in State Standard 32144-2013 [1] and to provide high harmonics reduce methods. The real mode parameters measurements of 3600 kVA diesel power plant in different technological processes connected with oil production were used during the research. The MATLAB software and integrated Fourier transform function were applied to elaborate the mode parameters measurements. Based on harmonic analysis generalized results it is obtained that in many technological processes electric power quality indexes fail to meet the requirements of State Standard 32144-2013 [1]. The filter compensating device with reactive power 1350 kvar installed on 6 kV bus doesn’t allow to supply required electric power quality indexes. The DC drive thyristors rectifiers and the frequency converters of the asynchronous motors of the drill unit parts are the main sources of high harmonics in steady-state modes. The harmonic composition essential changes and electric power quality indexes are reduced due to load power dumps and surges. The high harmonics in such modes are caused by transients in synchronous generators providing supply of the considered power system. The quick-operating electric energy storage system with active power filter function [2] has been proposed as a method to reduce the harmonics.

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Wang, Yongqian, Liyuan Liu, Shanshan Li, Bonan Zhou, and Xingyang Liu. "Offshore Electrical-Oil Production Coupling System Reliability Analysis." Journal of Physics: Conference Series 2592, no. 1 (September 1, 2023): 012034. http://dx.doi.org/10.1088/1742-6596/2592/1/012034.

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Abstract The role played by offshore oil resources in energy supply is becoming more and more important, and the normal operation of oil production system on offshore oil platforms requires the reliable operation of the electric power system as a prerequisite; the failure of the components in the oil production system may lead to a large-scale production shutdown, and cause the related electrical components to shut down, making the power system ineffective in a certain range. In this paper, a coupled system model of the electric power system and production system of an offshore oil platform based on massively parallel computing is proposed. By analysing the connection between the oil production system and the electric power system, the coupled system model is established and the load data are calculated. Meanwhile, the reliability model of the coupling components is established based on the fault data, and the electric-related reliability index and the production-related reliability index of the coupling system are proposed. The broad-first search (BFS) algorithm was used to determine whether the coupling nodes were powered, and the depth-first search (DFS) algorithm was used to determine the connectivity of the coupling system. In addition, a minimum load-shedding model based on the integrated fault degree is proposed to reduce the load shedding of the coupled system.

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IZMAYLOV, A. Y. "Decarbonization of mobile energy vehicles used in agricultural production." Agricultural Engineering, no. 1 (2024): 4–10. http://dx.doi.org/10.26897/2687-1149-2024-1-4-10.

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With the climate change, of the world’s leading countries have been carrying out the policy of decarbonization, i.e. reducing greenhouse gas emissions. The main sources of greenhouse gas emissions in agriculture are internal combustion engines of mobile power vehicles. The transition to “green” technologies is expected to reduce the amount of toxic exhaust gases the transition to “green” technologies. In this regard, the development of new environmentally friendly energy sources (hybrid electric drive, hydrogen fuel cells and batteries) is relevant for mobile power vehicles. An analysis of the prospects for the decarbonization of mobile energy vehicles, given in scientific articles and analytical reviews, showed that the use of a hybrid scheme with a diesel generator set, energy storage devices and an electric drive can only partially reduce exhaust emissions. Modern hydrogen fuel cells make it possible to obtain electrical energy without emitting harmful emissions, but they are difficult to manufacture and expensive. Batteries are the most promising energy sources for mobile power vehicles. They do not emit toxic substances during their operation, but have high energy intensity and resource. However, with mass use, it is necessary to study the issue of their reuse and disposal. The results of the conducted research have identified the main trends in the development of mobile power means. In the long term, the decarbonization of agricultural mobile energy vehicles should be carried out through the designing of energy vehicles of low power (up to 50 kW) on batteries with electric transmission or medium and high power (more than 50 kW) on hydrogen fuel cells with electric transmission.

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Salem, Tárik S., Karan Kathuria, Heri Ramampiaro, and Helge Langseth. "Forecasting Intra-Hour Imbalances in Electric Power Systems." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9595–600. http://dx.doi.org/10.1609/aaai.v33i01.33019595.

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Keeping the electricity production in balance with the actual demand is becoming a difficult and expensive task in spite of an involvement of experienced human operators. This is due to the increasing complexity of the electric power grid system with the intermittent renewable production as one of the contributors. A beforehand information about an occurring imbalance can help the transmission system operator to adjust the production plans, and thus ensure a high security of supply by reducing the use of costly balancing reserves, and consequently reduce undesirable fluctuations of the 50 Hz power system frequency. In this paper, we introduce the relatively new problem of an intra-hour imbalance forecasting for the transmission system operator (TSO). We focus on the use case of the Norwegian TSO, Statnett. We present a complementary imbalance forecasting tool that is able to support the TSO in determining the trend of future imbalances, and show the potential to proactively alleviate imbalances with a higher accuracy compared to the contemporary solution.

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Qi, Guo Chao, Feng Jun Shan, Qiang Li, and Jing Yuan Yu. "Process Analysis of the Electric Arc Furnace Melting for Alumina Spinel Production." Advanced Materials Research 602-604 (December 2012): 2104–7. http://dx.doi.org/10.4028/www.scientific.net/amr.602-604.2104.

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Alumina spinel is widely used as a refractory material in metallurgy industries. Arc furnace melting method is suitable to produce high quality alumina spinel. However, the high melting temperature (> 2200 °C) and high electric energy consumption limit the application of this method. There exists huge opportunity for energy saving through process optimization. A newly designed 2400 kVA electric arc furnace is used as melting facility to produce alumina spinal in this study. It shows from the experiments and analysis that melting voltage has much effect on electric power input and electric efficiency. At voltages higher than 150V, stable electric power input and adequate efficiency can be maintained. Stable melting voltage is difficult to maintain at 100-150V range and power efficiency are also apparently lower. For voltage less than100V, the process is very difficult to control and energy efficiency are very poor. Too high voltage on the other hand can lead the electric arc expose directly to the surroundings and increase the energy loss. In practical melting process, controlling the melting voltage at 140-160V range is suitable for high quality alumina spinel production.

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Monteiro, Claudio, Ignacio J. Ramirez-Rosado, and L. Alfredo Fernandez-Jimenez. "Short-term forecasting model for electric power production of small-hydro power plants." Renewable Energy 50 (February 2013): 387–94. http://dx.doi.org/10.1016/j.renene.2012.06.061.

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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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Niu, Dong Xiao, Jin Peng Liu, Qian Zhang, and Fang Fang. "Optimization of Regional Power Comprehensive Low Carbon Objective Based on Development Degree and Combination Weight Model." Applied Mechanics and Materials 48-49 (February 2011): 793–97. http://dx.doi.org/10.4028/www.scientific.net/amm.48-49.793.

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The global climate change require human production and life must go into the low carbon times of low energy consumption,low emission and low pollution objectively, and now the low carbon development of electric power industry becomes the important link to realize the aim of energy saving and emission reduction. With the necessity analyses of carbon emission reasonable control in electric power production, this paper first proposed the thought of regional electric power overall low carbon，then comprehensive summary origin measures from generation side, transmission side and consuming side. This paper set up the optimization system of regional electric power low carbon, proposed the development degree and combination weight model to empirical study,which provide the effective theoretical basis for low carbon concrete measures.

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Alvarez Guerrero, Jose David, Bikash Bhattarai, Rajendra Shrestha, Thomas L. Acker, and Rafael Castro. "Integrating Electric Vehicles into Power System Operation Production Cost Models." World Electric Vehicle Journal 12, no. 4 (December 15, 2021): 263. http://dx.doi.org/10.3390/wevj12040263.

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The electrification of the transportation sector will increase the demand for electric power, potentially impacting the peak load and power system operations. A change such as this will be multifaceted. A power system production cost model (PCM) is a useful tool with which to analyze one of these facets, the operation of the power system. A PCM is a computer simulation that mimics power system operation, i.e., unit commitment, economic dispatch, reserves, etc. To understand how electric vehicles (EVs) will affect power system operation, it is necessary to create models that describe how EVs interact with power system operations that are suitable for use in a PCM. In this work, EV charging data from the EV Project, reported by the Idaho National Laboratory, were used to create scalable, statistical models of EV charging load profiles suitable for incorporation into a PCM. Models of EV loads were created for uncoordinated and coordinated charging. Uncoordinated charging load represents the load resulting from EV owners that charge at times of their choosing. To create an uncoordinated charging load profile, the parameters of importance are the number of vehicles, charger type, battery capacity, availability for charging, and battery beginning and ending states of charge. Coordinated charging is where EVs are charged via an “aggregator” that interacts with a power system operator to schedule EV charging at times that either minimize system operating costs, decrease EV charging costs, or both, while meeting the daily EV charging requirements subject to the EV owners’ charging constraints. Beta distributions were found to be the most appropriate distribution for statistically modeling the initial and final state of charge (SoC) of vehicles in an EV fleet. A Monte Carlo technique was implemented by sampling the charging parameters of importance to create an uncoordinated charging load time series. Coordinated charging was modeled as a controllable load within the PCM to represent the influence of the EV fleet on the system’s electricity price. The charging models were integrated as EV loads in a simple 5-bus system to demonstrate their usefulness. Polaris Systems Optimization’s PCM power system optimizer (PSO) was employed to show the effect of the EVs on one day of operation in the 5-bus power system, yielding interesting and valid results and showing the effectiveness of the charging models.

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Zhang, Ruichao, Dechun Chen, Nu Lu, Bo Zhang, and Yanjie Yang. "Intelligent Diagnosis Model of Working Conditions in Variable Torque Pumping Unit Wells Based on an Electric Power Diagram." Processes 11, no. 4 (April 11, 2023): 1166. http://dx.doi.org/10.3390/pr11041166.

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Because of the problems, such as the lack of an electric power diagram atlas under different working conditions and the difficulty in intelligent diagnosis of variable torqued pumping unit wells, this paper proposes a diagnosis model of working conditions based on feature recognition. The mathematical relationship model between the polished rod load and motor output power is derived based on the analysis of geometric structure, motion law, and process of energy transformation and transfer of the variable torque pumping unit. It can calculate the electric power diagram based on a dynamometer card. On this basis, the electric power diagram atlas is created, and the feature analysis and eigenvalue extraction of the electric power diagrams under different working conditions are carried out to realize the direct diagnosis of the working conditions in the variable torque pumping unit wells. The application and analysis of examples show that the electric power diagram atlas created in this paper has good practicability, and the working condition diagnosis model accuracy is high. It can provide a theoretical basis and technical support for the intelligent diagnosis of oil production working conditions and improve the intellectual management level of the oilfield, which is conducive to reducing production management costs and improving the oilfield’s production efficiency and benefits.

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Vakhitova, Roza I., Diana A. Saracheva, and Kamil R. Urazakov. "Power consumption of electric centrifugal pumping plants under extraction of highly watered oil." Bulletin of the Tomsk Polytechnic University Geo Assets Engineering 335, no. 4 (April 25, 2024): 88–94. http://dx.doi.org/10.18799/24131830/2024/4/4330.

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Relevance. Currently, oil fields in Russia are mainly developed using the method of artificial maintenance of reservoir pressure to achieve high oil recovery. The use of artificial impact on productive formations by the method of water injection contributes to the premature irrigation of production wells. Water content of productive layers in oil fields significantly complicates the technology of oil production. With the increase in water content of the surface fluid, the power consumed by the engine increases. Minimization of energy consumption is quite relevant, as oil is produced with significant expenditures of electrical energy. It is important to investigate the dependences of the electric energy consumption on the well water cut. Aim. To study the dependence of energy consumption of submersible electric centrifugal units operated in oil production wells on water cut. Methods. Submersible electric centrifugal installations for oil production. Results. In order to study the effects of formation water cut on electrical energy specific consumption, wells with a water cut of more than 90% were selected. Using the formula, the authors have calculated the electrical energy specific consumption for oil production. The analysis of the results of the calculated data showed that in producing wells with a water cut of up to 90 %, the average specific electric power consumption for oil production is within the recommended standards. In wells with the water cut more than 90%, the average specific electric power consumption for oil production exceeds recommended specific norms of electric energy consumption during operation of oil producing wells equipped with electric centrifugal installations. Based on calculated data, the dependence of the specific electrical energy consumption for oil production on the water cut of reservoir products was plotted, and wells with a water cut of more than 90% were selected. The analysis of the graphical dependence showed that in wells with an oil water cut of more than 90%, the specific energy consumption reaches maximum values (the specific energy consumption increases by 40%).

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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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KABAKCI, Murat. "Evaluation of Electric Power Plants and Production Capacity in Turkey." Usak University Journal of Engineering Sciences 3, no. 2 (December 28, 2020): 62–72. http://dx.doi.org/10.47137/uujes.777706.

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Santos, Eliton Smith dos, Marcus Vinícius Alves Nunes, Manoel Henrique Reis Nascimento, and Jandecy Cabral Leite. "Rational Application of Electric Power Production Optimization through Metaheuristics Algorithm." Energies 15, no. 9 (April 29, 2022): 3253. http://dx.doi.org/10.3390/en15093253.

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The aim of this manuscript is to introduce solutions to optimize economic dispatch of loads and combined emissions (CEED) in thermal generators. We use metaheuristics, such as particle swarm optimization (PSO), ant lion optimization (ALO), dragonfly algorithm (DA), and differential evolution (DE), which are normally used for comparative simulations, and evaluation of CEED optimization, generated in MATLAB. For this study, we used a hybrid model composed of six (06) thermal units and thirteen (13) photovoltaic solar plants (PSP), considering emissions of contaminants into the air and the reduction in the total cost of combustibles. The implementation of a new method that identifies and turns off the least efficient thermal generators allows metaheuristic techniques to determine the value of the optimal power of the other generators, thereby reducing the level of pollutants in the atmosphere. The results are presented in comparative charts of the methods, where the power, emissions, and costs of the thermal plants are analyzed. Finally, the comparative results of the methods were analyzed to characterize the efficiency of the proposed algorithm.

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Jafari, Rahim, Mohammad Javad Khanjani, and Hamid Reza Esmaeilian. "Pressure Management and Electric Power Production Using Pumps as Turbines." Journal - American Water Works Association 107, no. 7 (July 2015): E351—E363. http://dx.doi.org/10.5942/jawwa.2015.107.0083.

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Ryan, Sarah M., and Mainak Mazumdar. "Chronological Influences of the Variance of Electric Power Production Costs." Operations Research 40, no. 3-supplement-2 (June 1992): S284—S292. http://dx.doi.org/10.1287/opre.40.3.s284.

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Kasangaki, V. B. A., H. M. Sendaula, and S. K. Biswas. "Stochastic Hopfield artificial neural network for electric power production costing." IEEE Transactions on Power Systems 10, no. 3 (1995): 1525–33. http://dx.doi.org/10.1109/59.466493.

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Yiftah, Shimon. "A Combined Hydro-Nuclear-Solar Project for Electric Power Production." Nuclear Science and Engineering 90, no. 4 (August 1985): 483–90. http://dx.doi.org/10.13182/nse85-a18498.

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Feng, X., D. Sutanto, and B. Manhire. "Evaluation of variances in production cost of electric power systems." International Journal of Electrical Power & Energy Systems 13, no. 1 (February 1991): 33–37. http://dx.doi.org/10.1016/0142-0615(91)90015-n.

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Pasurka, Carl A. "Decomposing electric power plant emissions within a joint production framework." Energy Economics 28, no. 1 (January 2006): 26–43. http://dx.doi.org/10.1016/j.eneco.2005.08.002.

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Ninic, Neven, Branko Klarin, and Ivan Tolj. "Hybrid wind-power-distillation plant." Thermal Science 16, no. 1 (2012): 251–61. http://dx.doi.org/10.2298/tsci111022032n.

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This paper reports and elaborates on the idea of a solar distiller and an offshore wind power plant operating together. The subject under discussion is a single-stage solar distillation plant with vaporization, using adiabatic expansion in the gravitational field inside a wind power plant supporting column. This scheme divides investment costs for electric power and distillate production. In the region of the Adriatic Sea, all electric power produced could be ?converted? to hydrogen using less than 10% of the distillate produced.

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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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Shieh, Horng-Lin, and Fu-Hsien Chen. "Forecasting for Ultra-Short-Term Electric Power Load Based on Integrated Artificial Neural Networks." Symmetry 11, no. 8 (August 20, 2019): 1063. http://dx.doi.org/10.3390/sym11081063.

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Energy efficiency and renewable energy are the two main research topics for sustainable energy. In the past ten years, countries around the world have invested a lot of manpower into new energy research. However, in addition to new energy development, energy efficiency technologies need to be emphasized to promote production efficiency and reduce environmental pollution. In order to improve power production efficiency, an integrated solution regarding the issue of electric power load forecasting was proposed in this study. The solution proposed was to, in combination with persistence and search algorithms, establish a new integrated ultra-short-term electric power load forecasting method based on the adaptive-network-based fuzzy inference system (ANFIS) and back-propagation neural network (BPN), which can be applied in forecasting electric power load in Taiwan. The research methodology used in this paper was mainly to acquire and process the all-day electric power load data of Taiwan Power and execute preliminary forecasting values of the electric power load by applying ANFIS, BPN and persistence. The preliminary forecasting values of the electric power load obtained therefrom were called suboptimal solutions and finally the optimal weighted value was determined by applying a search algorithm through integrating the above three methods by weighting. In this paper, the optimal electric power load value was forecasted based on the weighted value obtained therefrom. It was proven through experimental results that the solution proposed in this paper can be used to accurately forecast electric power load, with a minimal error.

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Zeng, Yuchao, Liansheng Tang, Nengyou Wu, Jing Song, and Zhanlun Zhao. "Numerical Investigation of Influence of Reservoir Heterogeneity on Electricity Generation Performance of Enhanced Geothermal System." Processes 7, no. 4 (April 9, 2019): 202. http://dx.doi.org/10.3390/pr7040202.

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The enhanced geothermal system (EGS) reservoir consists of a heterogeneous fracture network and rock matrix, and the heterogeneity of the reservoir has a significant influence on the system’s electricity generation performance. In this study, we numerically investigated the influence of reservoir heterogeneity on system production performance based on geological data from the Gonghe Basin geothermal field, and analyzed the main factors affecting production performance. The results show that with the increase of reservoir heterogeneity, the water conduction ability of the reservoir gradually reduces, the water production rate slowly decreases, and this causes the electric power to gradually reduce, the reservoir impedance to gradually increase, the pump power to gradually decrease and the energy efficiency to gradually increase. The fracture spacing, well spacing and injection temperature all have a significant influence on electricity generation performance. Increasing the fracture spacing will significantly reduce electric power, while having only a very slight effect on reservoir impedance and pump power, thus significantly decreasing energy efficiency. Increasing the well spacing will significantly increase the electric power, while having only a very slight effect on the reservoir impedance and pump power, thus significantly increasing energy efficiency. Increasing the injection temperature will obviously reduce the electric power, decrease the reservoir impedance and pump power, and thus reduce energy efficiency.

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Xia, Fei, Zong Ze Xia, and Xiao Bo Huang. "Research on Electric Power Communication Optical Fiber Transmission Network Evaluation and Optimization Method." Advanced Materials Research 1044-1045 (October 2014): 1459–62. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.1459.

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With the improvement of power industry modernization, electric power communication service object is no longer confined to the electric power dispatching, and the scope of services business also won the development, which requires the power system communication network is stable, reliable and efficient. The reliability of the power system optical fiber transmission network operation is an important guarantee of electric power system`s production safety and efficiency. In order to facilitate the planning and design of optical fiber transmission network management and maintenance, this paper proposed an optimization strategy based on the analysis and research of electric power communication optical fiber transmission network evaluation methods.

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Masaev, S. Kh, U. Kh Makaev, and M. V. Debiev. "The basic stages of improving the power grid complex functioning of the Chechen Republic." Power engineering: research, equipment, technology 22, no. 4 (November 15, 2020): 43–53. http://dx.doi.org/10.30724/1998-9903-2020-22-4-43-53.

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The article considers the state of the electric power industry functioning of the Chechen Republic. Comparative data on the reception in the network and useful electricity supply of the Chechen Republic in recent years are presented. The total transformer capacity structure of all substations, as well as the power lines total length of Chechenenergo JSC, is considered. The main electric power industry problems of the Chechen power system, which are the lack of own generating capacities, the transformer capacities shortage of substations 110 and 35 kV and the main production assets high level wear of the electric grid economy, are studied. The tasks to reduce the Chechen energy system electric energy losses are considered. The values and causes of the electric energy losses in different district electric networks (RES) of JSC "Chechenenergo" are determined. A comparative analysis of the electrical energy losses in recent years has been performed. Issues related to reactive power in electrical networks are considered. An analysis was carried out to determine the reactive power values in different district electric networks of Chechenenergo JSC. Measures are proposed that contribute to the reactive power normalization and the improvement of technical and economic indicators in electric networks. The networks electrical circuits improvement analysis was carried out to ensure the power supply stability and reliability to consumers in the republic. The production process control system and diagnostics is proposed, which will allow to regulate and coordinate the activities to manage the technical condition, as well as the power system reliability.

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Journal articles on the topic 'Electric power production'

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