scholarly journals Improving Energy Efficiency by Household Consumers in the Republic of Tajikistan Based on the Developed Forecasting Method

2020 ◽  
Vol 15 (6) ◽  
pp. 829-834
Author(s):  
Saidjon Sheralievich Tavarov ◽  
Aleksandr Ivanovich Sidorov
Keyword(s):  
Energy Efficiency ◽  
Electricity Consumption ◽  
Operating Mode ◽  
Geographic Area ◽  
Electrical Networks ◽  
Forecasting Method ◽  
Standard Values ◽  
The Republic ◽  
Electrical Loads ◽  
The City

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.

scholarly journals Model and Algorithm of Electricity Consumption Management for Household Consumers in the Republic of Tajikistan

2020 ◽  
Vol 7 (4) ◽  
pp. 520-526
Author(s):  
Saidjon Sheralievich Tavarov ◽  
Alexander Ivanovich Sidorov ◽  
Yulia Vladimirovna Kalegina
Keyword(s):  
Power Consumption ◽  
Control Algorithm ◽  
Electricity Consumption ◽  
Electrical Network ◽  
Forecasting Model ◽  
Operating Parameters ◽  
Electrical Networks ◽  
Factors Affecting ◽  
The Republic ◽  
And Control

The article is devoted to solving the problem of increasing the energy efficiency of urban electrical networks based on identifying factors affecting power consumption. According to the established patterns, a forecasting model has been developed, on the basis of which seasonal schedules of electricity consumption by household consumers are proposed. To monitor and control the operating parameters of the urban electrical network, taking into account the functionality of smart electricity meters, a control algorithm is proposed based on the proposed seasonal power consumption schedules by household consumers and a schematic implementation using smart electricity meters.

scholarly journals Increasing the Efficiency Factor of Solar Power Plants Due to Solar Energy Localizing

2021 ◽  
Vol 64 (1) ◽  
pp. 15-26
Author(s):  
V. I. Mironchuk ◽  
A. A. Velchenko
Keyword(s):  
Solar Energy ◽  
Power Plants ◽  
Solar Power ◽  
Geographic Area ◽  
Efficiency Factor ◽  
The Sun ◽  
Solar Panels ◽  
Solar Power Plants ◽  
The Republic ◽  
The City

The article presents an analysis of the state of development of solar energy in Europe and  the  Republic  of  Belarus  for 2020.  An algorithm for increasing the efficiency factor of  solar power plants by localizing the solar trajectory depending on the latitude and longitude of the area has been proposed. In particular, taking into account the angle of the Sun position above the horizon and the azimuth angle of the Sun, the increase in the efficiency factor of solar power plants for the Republic of Belarus is calculated. Based on this algorithm, a program has been written that makes it possible to draw a diagram of the solar trajectory. An analysis has been made of the degree of localization of solar energy for solstice days in 6 oblast (regional) centers of the Republic of Belarus; it is found that the highest intensity of solar radiation is observed in Brest and Gomel, the average in Grodno, Minsk and Mogilev, while the lowest one – in the city of Vitebsk. A comparative analysis of the solar trajectory of the city of Berlin (Germany) with the city of Gomel and the city of Brest is carried out. Recommendations have been developed for the effective operation of solar power plants in the oblast (regional) cities of the Republic of Belarus during the year in an autonomous and combined mode of operation. The obtained numerical calculations of the solar trajectory make it possible to optimize the orientation of solar panels for permanently installed panels and for automated solar tracking systems, as well as to select the optimal configuration of the power plant equipment for any geographic area.

Research on the Remote Monitoring System of Building Energy Consumption Based on GSM/GPRS

2012 ◽  
Vol 197 ◽  
pp. 782-786 ◽  
Author(s):  
Chuan Zhi Liang ◽  
Meng Meng Lu
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Electricity Consumption ◽  
Operating Mode ◽  
Building Energy ◽  
Building Energy Efficiency ◽  
Building Energy Consumption ◽  
Remote Monitoring System

The paper aim the remote monitoring system of energy consumption in buildings based on GSM/GPRS by a case, and introduces the system framework, operating mode, transmission technology, equipments and installation requirements, as well as illustrating software composition and function of the data center. The system can reflect classified electricity consumption in monitored buildings correctly. It not only understand situation of energy consumption in real-time, but also offers basic data for further energy auditing and energy efficiency assessment. The conclusion can develop management of building energy consumption and increase the building energy efficiency.

Application of the 20 kV Voltage Class in the Electric Power Supply Systems of Modern Megalopolises

Vestnik MEI ◽  
2020 ◽  
Vol 5 (5) ◽  
pp. 83-88
Author(s):  
Mikhail Yu. Lvov ◽  
◽  
Dmitriy Yu. Kamnev ◽  
Keyword(s):  
Power Supply ◽  
Electricity Consumption ◽  
Technical Condition ◽  
Electrical Networks ◽  
Electric Networks ◽  
Electric Power Supply ◽  
Limited Bandwidth ◽  
Electrical Loads ◽  
Cable Lines ◽  
High Level

Megacities are characterized by a high level of energy consumption, a significant density of electrical loads and increased requirements for the reliability of power supply to consumers. Traditionally in the USSR and further in Russia, voltage classes of 6 and 10 kV are used for urban distribution electric networks. The increasing density of electric load and electricity consumption does not allow in extremely cramped conditions of developing cities to provide electricity through existing cable lines with a voltage of 6-10 kV due to their limited bandwidth and lack of reliability. The technical condition of the equipment and cable lines in the 6-10 kV supply networks has significant physical and moral deterioration. Existing networks have insufficient redundancy and have practically exhausted their ability to connect new consumers. These circumstances required a decision to switch to a voltage class of 20 kV, which is a strategic direction for the development of medium voltage electrical networks in Moscow. According to this decision, since the 2000s, electric networks with a voltage of 20 kV have been actively developing in Russia and in Moscow. This article analyzes the implemented approaches to the use of an electric network of 20 kV in megacities of different countries.

scholarly journals REPUBLIC OF MOLDOVA POWER ENERGY IN THE PANDEMIC

2021 ◽  
Vol XXVIII (4) ◽  
pp. 27-33
Author(s):  
Corina Guțu-Chetrușca ◽  
◽  
Aurel Guțu ◽  
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Residential Buildings ◽  
Electricity Consumption ◽  
Household Consumption ◽  
Republic Of Moldova ◽  
World Energy ◽  
The Republic ◽  
World Energy Consumption

The anti-COVID restrictions have resulted in a reduction of the total world energy consumption. At the same time, the transfer of the activities to home increased the household consumption of electricity by up to 30%. In the Republic of Moldova, the total electricity consumption in 2020 decreased compared to 2019 by 0.22 %, while household consumption increased by 3.5%. In the first quarter of 2021, household consumption increased by 7.8%, raising the share of household consumption to 45.5 %. Working from home has proven to be convenient for both employees and employers, so the trend is expected to remain after the pandemic crisis. In this context, a series of energy efficiency and renewable energy solutions in residential buildings are expected to be implemented.

Hygienic assessment of learning environment conditions (by the example of higher educational institutions of the city of Ufa)

2020 ◽  
Vol 99 (4) ◽  
pp. 405-411
Author(s):  
Elena Ju. Gorbatkova
Keyword(s):  
Ionizing Radiation ◽  
Educational Institutions ◽  
Higher Educational Institutions ◽  
Factors Affecting ◽  
Republic Of Bashkortostan ◽  
Average Relative Humidity ◽  
Higher Educational ◽  
The Republic ◽  
And Performance ◽  
The City

Introduction. The important factors affecting health and performance of young people are the conditions of education, in particular, a comfortable microclimate in the classrooms of higher educational institutions. Materials and methods. In view of the urgency of this problem, an analysis was made of the microclimate parameters of educational organizations of different profiles (Ufa city, the Republic of Bashkortostan). 294 classrooms were studied in 22 buildings of 4 leading universities in Ufa. A total of 3,822 measurements were taken to determine the parameters of the microclimate. The analysis of ionizing radiation in the aerial environment of classrooms. There was performed determination of radon and its affiliated products content. In order to assess the conditions and lifestyle of students of 4 higher educational institutions of the city of Ufa, we conducted an anonymous survey of 1,820 students of I and IV years of education. Results. The average temperature in the classrooms of all universities studied was 23.9±0.09 C. The average relative humidity in all classrooms was 34.2 ± 0.42%. Analysis of ionizing radiation (radon and its daughter products decay) in the aerial environment of the classrooms and sports halls located in the basement determined that the average annual equivalent equilibrium volumetric activity of the radon daughter products (EROA ± Δ222Rn) ranged from 28 ± 14 to 69 ± 34.5 meter, which meets the requirements established by SanPiN. Conclusion. The hygienic assessment of the microclimate parameters of educational institutions of various profile revealed a number of deviations from the regulated norms. The results indicate the need to control the parameters of the microclimate, both from the administration of universities, and from the professors. According to the results of the study, recommendations were prepared for the management of higher educational institutions in Ufa.

Study of the operation of an artificial neural network that works in the electric network in order to prevent emergency conditions.

2020 ◽  
Vol 14 (1) ◽  
pp. 48-54
Author(s):  
D. Ostrenko ◽  
Keyword(s):  
Neural Networks ◽  
Learning Algorithm ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Energy System ◽  
Electrical Networks ◽  
Electric Networks ◽  
Electric Network ◽  
Time Dynamics ◽  
Emergency Situations

Emergency modes in electrical networks, arising for various reasons, lead to a break in the transmission of electrical energy on the way from the generating facility to the consumer. In most cases, such time breaks are unacceptable (the degree depends on the class of the consumer). Therefore, an effective solution is to both deal with the consequences, use emergency input of the reserve, and prevent these emergency situations by predicting events in the electric network. After analyzing the source [1], it was concluded that there are several methods for performing the forecast of emergency situations in electric networks. It can be: technical analysis, operational data processing (or online analytical processing), nonlinear regression methods. However, it is neural networks that have received the greatest application for solving these tasks. In this paper, we analyze existing neural networks used to predict processes in electrical systems, analyze the learning algorithm, and propose a new method for using neural networks to predict in electrical networks. Prognostication in electrical engineering plays a key role in shaping the balance of electricity in the grid, influencing the choice of mode parameters and estimated electrical loads. The balance of generation of electricity is the basis of technological stability of the energy system, its violation affects the quality of electricity (there are frequency and voltage jumps in the network), which reduces the efficiency of the equipment. Also, the correct forecast allows to ensure the optimal load distribution between the objects of the grid. According to the experience of [2], different methods are usually used for forecasting electricity consumption and building customer profiles, usually based on the analysis of the time dynamics of electricity consumption and its factors, the identification of statistical relationships between features and the construction of models.

Indicators of permanent teeth eruption in children of Tashkent city and comparative assessment with the data of peers of different Russian cities

2020 ◽  
Vol 20 (3) ◽  
pp. 223-229
Author(s):  
R. T. Kamilova ◽  
J. A. Kamilov
Keyword(s):  
Comparative Assessment ◽  
Permanent Dentition ◽  
Permanent Teeth ◽  
Age And Gender ◽  
Left Handed ◽  
Regional Features ◽  
Initial Stage ◽  
The Republic ◽  
And Gender ◽  
The City

Relevance. Characteristics of eruption of secondary teeth is of diagnostic and prognostic interest, is the basis for implementation of targeted therapeutic and preventive measures among children. No research has ever been carried out in Uzbekistan to study an age and gender regional features of secondary teeth eruption. The aim is to determine the timing and symmetry of secondary teeth eruption in children of the city of Tashkent of the Republic of Uzbekistan and comparative assessment with the children of different cities of Russia.Materials and methods. 3,834 children between 3 and 17 years were conducted dental examination. A comparative analysis was made of the initial, intermediate and final periods of eruption of secondary teeth for children of Uzbekistan (Tashkent city) and Russia (Saratov, Izhevsk and Sergach).Results. In Tashkent children of both gender, in most cases, lower teeth were erupted before than their antagonists. In girls, teeth were erupted earlier than their male counterparts. At the initial stage of eruption, asymmetry was more pronounced in boys than in girls, while in the middle and final stages it was more pronounced in the opposite direction. Observed asymmetry of antimere’s teeth were indicated left-handed permanent dentition in boys and right-handed in girls. Children of Tashkent city were observed permanent dentition in one group of teeth 1-16 months earlier, and in others – 1-24 months later than their peers in Russian cities. Revealed differences were more pronounced among boys than among girls. Children in Tashkent differed more from their peers in Sergach and less from those in Izhevsk. Conclusions. Regional peculiarities of permanent dentition in children of Tashkent city and revealed expressed differences with indicators of Russian children are the basis for development of separate age and  gender normative assessment permanent dentition tables for children of Uzbekistan. 

scholarly journals Impact of Passive Energy Efficiency Measures on Cooling Energy Demand in an Architectural Campus Building in Karachi, Pakistan

2021 ◽  
Vol 13 (13) ◽  
pp. 7251
Author(s):  
Mushk Bughio ◽  
Muhammad Shoaib Khan ◽  
Waqas Ahmed Mahar ◽  
Thorsten Schuetze
Keyword(s):  
Energy Efficiency ◽  
Energy Demand ◽  
Electricity Consumption ◽  
Information Modeling ◽  
Base Case ◽  
Energy Efficiency Measures ◽  
Efficiency Measures ◽  
The Impact ◽  
Cooling Energy Demand ◽  
Campus Building

Electric appliances for cooling and lighting are responsible for most of the increase in electricity consumption in Karachi, Pakistan. This study aims to investigate the impact of passive energy efficiency measures (PEEMs) on the potential reduction of indoor temperature and cooling energy demand of an architectural campus building (ACB) in Karachi, Pakistan. PEEMs focus on the building envelope’s design and construction, which is a key factor of influence on a building’s cooling energy demand. The existing architectural campus building was modeled using the building information modeling (BIM) software Autodesk Revit. Data related to the electricity consumption for cooling, building masses, occupancy conditions, utility bills, energy use intensity, as well as space types, were collected and analyzed to develop a virtual ACB model. The utility bill data were used to calibrate the DesignBuilder and EnergyPlus base case models of the existing ACB. The cooling energy demand was compared with different alternative building envelope compositions applied as PEEMs in the renovation of the existing exemplary ACB. Finally, cooling energy demand reduction potentials and the related potential electricity demand savings were determined. The quantification of the cooling energy demand facilitates the definition of the building’s electricity consumption benchmarks for cooling with specific technologies.

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