Forecasting trends in the development of information technology in the energy sector
The development of information technology ensures the emergence of new concepts in the energy sector which will make it possible in the future to reduce the costs of production, consumption and redistribution of energy resources between economic agents.
Подобные документы
Phase transition for US gauge field is considered. A lower bound of the phase transition temperature by comparing of the average energy for the perturbative and nonperturbative regimes is estimated. In a scalar model of glueball its energy is calculated.
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статья, добавлен 27.05.2021Analysis of the use of a combined solar collector for heat supply of buildings to enhance the efficiency of solar system by increasing the surface area of absorption of solar energy. The study of the intensity of the solar radiation on the collector.
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статья, добавлен 11.09.2012The measurement and analysis of the quality of electrical energy in electric grids. The characteristics of the main tools for measuring power quality, the requirements on the measurement of power quality. Instruments to measure the indicators of quality.
статья, добавлен 06.05.2018The necessity of using a synergistic effect in energy systems that include vertical axial wind power plants. The ways of achieving a synergistic effect at different levels of the system hierarchy. The Navier-Stokes differential equations solution.
статья, добавлен 07.09.2022Testing TimePix micropixel chip as a detector of low energy ions in a focal plane of the laser mass-spectrometer. A unity of pixels over ion mass. Creating "electronic focal plane" of a mass-spectrometer with obvious advantages of real time devices.
статья, добавлен 28.09.2013The impact of nanoporous carbon material morphology on its electrochemical behavior in aqueous electrolyte. The optimum concentration of aqueous lithium sulfate which provides the maximum specific energy characteristics of capacitor-type systems C/LiSO/C.
статья, добавлен 24.02.2016Analysis of the factors influencing the forecasting of electricity consumption by a machine-building enterprise. Evaluation of factors affecting electricity, based on the method of expert assessment. Determining them by constructing a correlation matrix.
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