scholarly journals Management of Energy Costs of Industrial Enterprises Connected to Electric Grid of Electric Power Producers

2021 ◽  
Vol 2021 (2) ◽  
pp. 198-207
Author(s):  
Anatoly Dzyuba ◽  
Alexander Semikolenov
Keyword(s):  
Demand Management ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Power Grids ◽  
Energy Costs ◽  
Advantages And Disadvantages ◽  
Industrial Enterprises ◽  
Pricing Options ◽  
The Cost ◽  
Cost Components

Industrial enterprises connected to the power grids of electricity producers spend a lot of money on the transport of purchased electrical energy. The present article introduces some opportunities to minimize the costs. The author studied the principles of pricing of the transport of electrical energy purchased by industrial enterprises connected to power grids of electricity producers and described the advantages and disadvantages of the existing pricing options. The new indicator generator of voltage tariff coefficient made it possible to analyze the effectiveness of the transport tariffs for electrical energy at various types of industrial enterprises in relation to the tariff field of several regions of Russia. The study revealed ineffectiveness of the current tariffs on the transport of purchased electrical energy applied by such industrial enterprises. The author developed recommendations to reduce the cost of electricity. The main priority option was the application of demand management for electricity consumption by regulating the schedules of energy-intensive technological processes. This measure takes into account the criteria of economic efficiency, system reliability, and sustainability. It will enable industrial enterprises to manage their own schedule of electricity consumption without having to change the planned production volumes, thus reducing all cost components.

scholarly journals Reducing the cost of electricity transmission services of industrial enterprises connected to the electric networks of electric power producers

2021 ◽  
Vol 29 (2) ◽  
pp. 359-383
Author(s):  
Anatoly P. Dzyuba
Keyword(s):  
Electricity Consumption ◽  
Weighted Average ◽  
Electrical Energy ◽  
Average Price ◽  
Electrical Networks ◽  
Electric Networks ◽  
Cost Of Electricity ◽  
Industrial Enterprises ◽  
Transport Component ◽  
The Cost

Reducing the cost of electricity consumption by industrial enterprises is the most important area of increasing the operational efficiency of their activities. The article is devoted to the issue of reducing the cost of paying for the service component of the transport component of purchased electrical energy from industrial enterprises that have technological connection to the electrical networks of electricity producers. The article makes an empirical study of the features of the pricing of payment for the services of the transport component of purchased electrical energy for industrial enterprises connected to the electric grids of electricity producers with the identification of factors influencing the overestimation of the cost of paid electricity, and calculating such overestimations using the example of a typical schedule of electricity consumption of a machinebuilding enterprise for various regions Russia. On the basis of the developed author's indicators (tariff coefficient for electricity transportation by the level of GNP, index of tariff coefficient for electricity transportation, weighted average price for electricity transportation, index of weighted average price for electricity transportation, integral index of efficiency of GNP tariffs) study of the effectiveness of the application of tariffs for the transport of electricity for industrial enterprises connected to the electric networks of electricity producers. Based on the calculated indicators, the article groups the regions into three main groups, with the development of recommendations for managing the cost of purchasing electricity by the component of the cost of the transport component of purchased electricity in each group. As the most optimal option for reducing the cost of electricity transportation, the author proposes the introduction of demand management for electricity consumption, which will reduce the costs of industrial enterprises that pay for the transport component of purchased electricity at unfavorable tariff configurations.

scholarly journals Application of PVStorage System in Typical Industrial Users

2019 ◽  
Vol 118 ◽  
pp. 02068
Author(s):  
Haiwen Wang ◽  
Daoyuan Wen ◽  
Qunyin Gu ◽  
Fangqin Li ◽  
Weijun Gao ◽  
...  
Keyword(s):  
Power Consumption ◽  
High Reliability ◽  
Electricity Consumption ◽  
Optical Storage ◽  
Large Power ◽  
Storage Model ◽  
Industrial Enterprises ◽  
Photovoltaic Power ◽  
Roof Area ◽  
The Cost

The power consumption of industrial enterprises is characterized by large power consumption and high reliability requirement, so the cost of electricity consumption is relatively high. Distributed photovoltaic power generation is clean and environmentally friendly, making full use of the roof area to generate electricity. Based on the characteristics of distributed photovoltaic and energy storage, this paper constructs the distributed optical storage model and operation strategy. In addition, this paper takes an industry as an example to carry out relevant verification and analysis.

scholarly journals COST-DEPENDENT ELECTRIC CONSUMPTION AS A TOOL OF RISK MANAGEMENT OF NON-PAYMENT FOR ELECTRIC ENERGY OF INDUSTRIAL ENTERPRISES

2019 ◽  
pp. 8-19
Author(s):  
A. P. Dzyuba ◽  
I, A. Soloveva
Keyword(s):  
Power Consumption ◽  
Electricity Markets ◽  
Economic Effect ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Machine Building ◽  
Industrial Equipment ◽  
Cost Of Electricity ◽  
Industrial Enterprises ◽  
The Cost

The growth of indebtedness of industrial enterprises operating in conditions of economic instability for consumed electricity and the sanctions imposed by the energy supplying organizations for late payments, determine the urgency of the problem of managing the risks of non-payment for energy from industrial enterprises. The article is devoted to the description of the method developed by the authors for managing the risks of non-payment of industrial enterprises for consumed electricity, based on the principles of price-dependent electricity consumption. Based on the study of the mechanism of formation of the cost of electricity purchased by industrial enterprises in the wholesale and retail electricity markets, special methods were proposed to control each component of the cost of electricity: electrical energy, electrical power, electricity transmission services. It justifies the need to develop options for operating modes of industrial equipment, such as nominal load mode, load limiting mode, technological minimum load, in order to effectively implement and use price-dependent power consumption in crisis conditions.Modeling scenarios of price-dependent demand management for power consumption is made on the example of a machine-building enterprise and the calculation and component-wise analysis of the economic effect of price-dependent management and the factors influencing its formation are carried out. The developed method allows you to effectively manage the risks of non-payment of industrial enterprises for electricity, as well as minimize the risks of restricting the supply of electricity to industrial facilities and disruptions in the operation of industrial equipment.

Approach to Forecasting Demand for Industrial Products in the Face of Market Uncertainty

2020 ◽  
Vol 8 (1) ◽  
pp. 60-63
Author(s):  
Irina Domozhirova
Keyword(s):  
Methodological Approach ◽  
Demand Management ◽  
Combined Approach ◽  
Market Uncertainty ◽  
Market Environment ◽  
Industrial Products ◽  
Advantages And Disadvantages ◽  
Industrial Enterprises ◽  
The Face ◽  
Degree Of Risk

The purpose of this article is to analyze existing approaches to forecasting the demand for industrial products, as well as to identify their advantages and disadvantages. Based on the results of the analysis, it was concluded that it is necessary to use a combined approach to forecasting demand for industrial products, which will increase the accuracy of the forecast and reduce the risk of non-fulfillment of customer orders. Based on the results of the study, a methodological approach to forecasting the demand for industrial products in the conditions of uncertain market environment is formed on the basis of the separation of commodity positions by level of profitability and the degree of risk of non-fulfillment of the order. The article is of interest to managers of industrial enterprises, economists specializing in the study of problems of demand management in the face of market uncertainty.

scholarly journals Features of Heating Poultry Houses with Gas Stoves

2018 ◽  
pp. 76-79
Author(s):  
Aleksey Sklyar ◽  
Iliya Korobko ◽  
Margarita Postnova
Keyword(s):  
Local Heating ◽  
Climatic Conditions ◽  
Power Grids ◽  
Energy Costs ◽  
Alternative Source ◽  
Poultry Farms ◽  
The Russian Federation ◽  
The Cost ◽  
Gas Stoves ◽  
Poultry Farming

Currently, modern poultry farms are located in regions with different climatic conditions. On this basis, the component of the electric power is great in power engineering, the combined heating and ventilating systems, lighting and local heating of poultry farms in the territory of the Russian Federation are based on these constructions. Analysis of energy costs of poultry farms showed that, of the estimated options to reduce the cost of electricity for poultry farms, one of the most effective can be an alternative source such as the generation of its own electricity. Naturally, for biological production with a continuous technological cycle, such as poultry farming, we are not talking about 100 % replacement of power grids - they remain to cover 45-55 % of the needs of the factory and serve as a reserve for the rest.

scholarly journals COST-DEPENDENT ELECTRIC CONSUMPTION AS A TOOL OF RISK MANAGEMENT OF NON-PAYMENT FOR ELECTRIC ENERGY OF INDUSTRIAL ENTERPRISES

2019 ◽  
pp. 08-19
Author(s):  
A. P. Dzyuba ◽  
I, A. Soloveva
Keyword(s):  
Power Consumption ◽  
Electricity Markets ◽  
Economic Effect ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Machine Building ◽  
Industrial Equipment ◽  
Cost Of Electricity ◽  
Industrial Enterprises ◽  
The Cost

The growth of indebtedness of industrial enterprises operating in conditions of economic instability for consumed electricity and the sanctions imposed by the energy supplying organizations for late payments, determine the urgency of the problem of managing the risks of non-payment for energy from industrial enterprises. The article is devoted to the description of the method developed by the authors for managing the risks of non-payment of industrial enterprises for consumed electricity, based on the principles of price-dependent electricity consumption. Based on the study of the mechanism of formation of the cost of electricity purchased by industrial enterprises in the wholesale and retail electricity markets, special methods were proposed to control each component of the cost of electricity: electrical energy, electrical power, electricity transmission services. It justifies the need to develop options for operating modes of industrial equipment, such as nominal load mode, load limiting mode, technological minimum load, in order to effectively implement and use price-dependent power consumption in crisis conditions.Modeling scenarios of price-dependent demand management for power consumption is made on the example of a machine-building enterprise and the calculation and component-wise analysis of the economic effect of price-dependent management and the factors influencing its formation are carried out. The developed method allows you to effectively manage the risks of non-payment of industrial enterprises for electricity, as well as minimize the risks of restricting the supply of electricity to industrial facilities and disruptions in the operation of industrial equipment.

scholarly journals Experience of practical application of the mechanism of price-dependent electricity consumption to increase the efficiency of investment projects at industrial enterprises in Russia

2019 ◽  
Vol 12 (3) ◽  
pp. 288-304
Author(s):  
A. P. Dzyuba
Keyword(s):  
Electricity Consumption ◽  
Investment Project ◽  
Economic Feasibility ◽  
Base Case ◽  
Baseline Scenario ◽  
Practical Application ◽  
Investment Projects ◽  
Industrial Enterprises ◽  
The Cost ◽  
Practical Feasibility

The article is devoted to the issue of improving the efficiency of the investment project for upgrading the area of quenching furnaces at an industrial enterprise through the mechanism of price-dependent electricity consumption. The article reveals the peculiarities of pricing for the purchase of electricity by industrial enterprises and substantiates the expediency of applying the organizational and economic tool for increasing energy efficiency – price-dependent electricity consumption. The economic example of the investment project implementation in the baseline scenario of the project and using price-dependent consumption is shown on a concrete practical example. Based on the price-dependent electricity consumption model, several combinations of equipment loading schedules for various shifts were calculated, on the basis of which tariffs for electricity purchase were determined, the value of which turned out to be significantly lower than the similar values in the base case. On the basis of the received price parameters for the purchase of electricity, the calculation of performance indicators and financial feasibility of the investment project was carried out. The results of the study allow to draw conclusions about the economic feasibility and practical feasibility of the developed tools of price-dependent electricity consumption, the use of which will reduce the cost of purchasing electricity for industrial enterprises and increase the efficiency of the investment projects being released.

scholarly journals Techno-Economic Study of Substation Electric Power in Indonesia: A Mini-Review

2021 ◽  
Vol 1 (1) ◽  
pp. 28-32
Author(s):  
Rosyid Ridlo Al Hakim ◽  
Eko Ariyanto ◽  
Yanuar Zulardiansyah Arief
Keyword(s):  
Power System ◽  
Electric Power ◽  
Financial Analysis ◽  
Electrical Energy ◽  
Electric Power System ◽  
Literature Study ◽  
Advantages And Disadvantages ◽  
Cost Of Energy ◽  
Energy Needs ◽  
The Cost

Energy is something that people need every day. One of the energies that are glorified to meet people's energy needs is electrical energy. The need for electrical energy in Indonesia continues to increase in line with economic growth and the increasing population. One of the components of electric power that is useful for delivering electric current to transmission networks is a substation. With the feasibility of techno-economic, it is possible to know the feasibility of the quality of an electric power system based on financial analysis. This paper provides a mini-review of the techno-economy of substation electricity and its maintenance in several regions in Indonesia today. The research stages consist of literature study, identification of article titles, article abstract screening, complete article selection, and mini-review reviews. Several studies are still not widely applied to the calculation of the cost of energy consumption to customers. In addition, the basic cost of providing electricity, the profit from electricity sales, and the payback period method need to be improved in research related to the techno-economic analysis of electrical energy. It is important to do this to determine the potential feasibility and the estimated advantages and disadvantages of an electric power system.

scholarly journals Implementation of IoT to reduce the use of electrical energy

2021 ◽  
Vol 1 (1) ◽  
pp. 37-46
Author(s):  
Dessy Ariffiyanto Laksono
Keyword(s):  
Smart Home ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Living Room ◽  
Room Light ◽  
Controlling System ◽  
Electrical Devices ◽  
The Cost ◽  
Reducing Energy

Electricity consumption in Indonesia continues to increase by an average of 6.8% per year. IoT in 4.0 industry can be used to help community in reducing energy consumtion, including electricity, by implementing smart home sensor and actuator in IoT can be used to control the electricity consumtion automatically. This research has an objective to design and apply smart home that can reduce the electricity consumtion. The Smart Home device is an Arduino ESP8266 NodeMCU microcontroller equipped with a PIR sensor, DHT11 sensor and relay. This system is connected to the website as a controlling system. The smart home can also reduce power usage on street light by 7,524.91 watts (59.72%), living room light by 1,500 watts (50%), kitchen light by 2699,94 watts (75 )%), the main room lamp is 1259.98 watts (50%). Smart home system with a timer for one month can reduce power usage by 12,984.83 watts (12.01%) and can reduce the cost of using electrical devices by Rp. 16,881 (12.01%).

scholarly journals The calculation of point quantity for lighting based on android OS using ionic framework and rule based expert system

2021 ◽  
Vol 10 (6) ◽  
pp. 3444-3451
Author(s):  
Mufadhol Mufadhol ◽  
Budi Hartono ◽  
Sulartopo Sulartopo ◽  
Maya Utami Dewi ◽  
Danang Danang ◽  
...  
Keyword(s):  
Operating System ◽  
Expert System ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Energy Resources ◽  
Application System ◽  
Rule Based ◽  
Android Os ◽  
Android Operating System ◽  
The Cost

At this time, the Covid-19 pandemic has not been finished so all activities and expenditure of funds must be economical. On the each building will be required electricity resources as a means for lighting the room. Reduced activities carried out outside the room make people carry out activities indoors, this results in a significant increase in electricity consumption for lighting. PT. PLN as the provider in Indonesia of electricity services for the community experiences a shortage of electricity resources and most of the electricity resources are used for lighting purposes. Indonesia as a developing country has a very large of population growth, so it requires many buildings as a place to live or a place of business and other activities. This paper will be discussion how a smartphone with an Android operating system can be used to determining the lighting requirements using the Ionic Framework and Rule Based Expert Systems. Using this application system, so electricity to lighting can be optimal and not too wasteful, which in turn can save on the use of electrical energy resources and can save of the cost.

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