Application of intelligent electricity metering systems for timely adjustment of standard values for electrical loads calculation

Author(s):  
Yuriy I. Soluyanov ◽  
Alexander I. Fedotov ◽  
Azat R. Akhmetshin ◽  
Vladimir I. Soluyanov
2020 ◽  
Vol 15 (6) ◽  
pp. 829-834
Author(s):  
Saidjon Sheralievich Tavarov ◽  
Aleksandr Ivanovich Sidorov

The work is devoted to the assessment of energy efficiency in electricity consumption by household consumers in the city of the Republic of Tajikistan. Methods of forecasting taking into account factor dependencies are proposed. According to the data obtained from the readings of electricity metering devices for groups of household consumers with different climates, meteorological conditions of the area and geographic area, comparisons of the actual power consumption with standard values were made. A non-standard excess of the actual specific loads in winter about the standard values was established, leading to a violation of the operating mode. The applied methods for calculating the proposed average monthly loads of all consumers and the average values of the electrical loads of the cities under consideration. It is substantiated that the proposed method makes it possible to increase the energy efficiency of urban electrical networks of 10 / 0.4 kV without violating the standard values.


2020 ◽  
Vol 20 (2) ◽  
pp. 7-13
Author(s):  
G. Stankevych ◽  
L. Dmytrenko ◽  
A. Kats ◽  
V. Shpak

In the future, in Ukraine it is planned to increase the sown area for cereals, legumes and oilseeds, to increase the gross grain harvest to 80 million tons, and its export abroad was increased twice. Intensive construction in the southern ports of Ukraine of grain transshipment terminals with large metal silos will solve the problem of increasing grain export in the future. At these powerful terminals, the bulk of the grain comes mainly by rail, and is shipped to water. The aim of the work was to study the characteristics of the grain receiving from railway transport to the grain transshipment terminal of LLC “Ukrelevatorprom” in order to improve its works efficiency. The object of the study was the development of technology of grain receiving at the grain transshipment terminal; the subject of research is cereals, legume sand oil crops, as well as data from daily volumes of receiving and dispensing operations at the grain transshipment terminal of LLC “Ukrelevatorprom” for 2015-2016. The studies were carried out on the basis of processing data from the consignment notes for 2015-2016, according to which there was a summed amount of grain (net) daily transported by the railway. Further processing of the obtained data was carried out by a combined graphoanalytical method, for which, on the basis of tabular values for each studied year, the corresponding histograms and graphs were built and the necessary indicators were determined. Analysis of the structure of grain crops supplied by railway to LLC “Ukrelevatorprom” in 2015 and 2016 and their ratio showed that the main share was occupied by cereal crops (78.0 % and 73.1 % respectively), which were mainly represented by corn, share which was significantly dominated by other crops (wheat of various classes and barley) and amounted to 45.8 % and 44.5 %, respectively, which can be explained by its high demand in the international grain market, in which Ukraine occupies a leading position. Oilseeds (rapeseed) were taken in accordance with 19.1 % and 14.9 %, and legumes (soybeans) — 2.9 % and 12.0 %. An analysis of the timing of the unloading of grain wagons (hopper cars) showed that the total duration of this process, depending on the crops, averages 37...59 minutes. The longest steps for unloading wagons are to determine the grain quality indicators, especially rapeseed, and to spill grain from the wagons, therefore, to reduce their duration, it is necessary to form feeds of wagons with grain batches of the same quality and use more modern express analyzers to determine grain quality indicators, which will increase the productivity of the grain receiving line from the railway. According to the research results, the enterprise has the potential to increase by about 30 % the volume of grain intake. It was established that the periods of the grain receipt at the enterprise in 2015-2016 amounted to 349 and 353 days, respectively, the actual coefficients of the daily irregularity Kdaily for the grain receipt from the railway in these years are equal to 1.47 and 1.52, and the monthly irregularity Kmonth, respectively 1.33 and 1.21, does not exceed the standard values Kdaily = 2.5 and Kmonth= 2.0. This made it possible to clarify the database from the actual characteristics of the process of grain receiving by railway and can be used in design and verification calculations of equipment in technological lines for receiving grain from railway transport, and will contribute to increasing the efficiency of grain transshipment terminals. 


2015 ◽  
Vol 17 (1) ◽  
pp. 109-120
Author(s):  
Zahra Khoshnood ◽  
Reza Khoshnood

Abstract In 2009, 36 fish were sampled from two stations in the Karoon River near an industrial site. Two species of fish, Barbus grypus and Hypophthalmichthys molitrix were analyzed for total mercury (Hg) concentration in liver and muscle tissues. The average concentrations of total Hg in liver of B. grypus were 18.92 and 10.19 μg.g-1 in stations 1 and 2 respectively. The corresponding values for total Hg in edible muscle of Barbus grypus were 8.47 and 0.08 μg.g-1. The average concentrations of Hg in the liver of H. molitrix were 25.49 and 12.52 μg.g-1 in stations 1 and 2 respectively. The values for H. molitrix were 11.88 and 3.2 μg.g-1 in station 1 and station 2 respectively. The results showed that the bioavailability of Hg has increased considerably after industrialization and that these values were higher than the standard values as a result of anthropogenic activities in the region.


Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2165
Author(s):  
Sam Hamels

The European Union strives for sharp reductions in both CO2 emissions as well as primary energy use. Electricity consuming technologies are becoming increasingly important in this context, due to the ongoing electrification of transport and heating services. To correctly evaluate these technologies, conversion factors are needed—namely CO2 intensities and primary energy factors (PEFs). However, this evaluation is hindered by the unavailability of a high-quality database of conversion factor values. Ideally, such a database has a broad geographical scope, a high temporal resolution and considers cross-country exchanges of electricity as well as future evolutions in the electricity mix. In this paper, a state-of-the-art unit commitment economic dispatch model of the European electricity system is developed and a flow-tracing technique is innovatively applied to future scenarios (2025–2040)—to generate such a database and make it publicly available. Important dynamics are revealed, including an overall decrease in conversion factor values as well as considerable temporal variability at both the seasonal and hourly level. Furthermore, the importance of taking into account imports and carefully considering the calculation methodology for PEFs are both confirmed. Future estimates of the CO2 emissions and primary energy use associated with individual electrical loads can be meaningfully improved by taking into account these dynamics.


Author(s):  
Mohamad Nassereddine

AbstractRenewable energy sources are widely installed across countries. In recent years, the capacity of the installed renewable network supports large percentage of the required electrical loads. The relying on renewable energy sources to support the required electrical loads could have a catastrophic impact on the network stability under sudden change in weather conditions. Also, the recent deployment of fast charging stations for electric vehicles adds additional load burden on the electrical work. The fast charging stations require large amount of power for short period. This major increase in power load with the presence of renewable energy generation, increases the risk of power failure/outage due to overload scenarios. To mitigate the issue, the paper introduces the machine learning roles to ensure network stability and reliability always maintained. The paper contains valuable information on the data collection devises within the power network, how these data can be used to ensure system stability. The paper introduces the architect for the machine learning algorithm to monitor and manage the installed renewable energy sources and fast charging stations for optimum power grid network stability. Case study is included.


Author(s):  
Qiuzhan Zhou ◽  
Tong Yang ◽  
Mingyu Sun ◽  
Cong Wang ◽  
Jing Rong ◽  
...  
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