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.

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 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 Decrease of Power Consumption Utilizing IOT

2019 ◽  
Vol 9 (1) ◽  
pp. 5316-5319
Keyword(s):  
Internet Of Things ◽  
Power Consumption ◽  
Smart Cities ◽  
Electricity Consumption ◽  
Cost Of Electricity ◽  
Future Consumption ◽  
The Cost ◽  
Very High ◽  
New System ◽  
Made In

As electricity consumption is very high so using IOT ,reduction of electricity consumption is tried company nowadays but the use of it in extreme levels results as a damage to environment and personal financial conditions.Involving fields of application and Internet of things sensors are made. In this paper an architecture is introduced, that helps the smart cities to save resources for future. Consumption of electricity in a way is destroying the environment so this paper helps in saving the cost of electricity as well as saving the environment using wireless connections. Finally a new system is proposed keeping in mind the old one and its challenges. This system overcomes all the challenges and difficulties faced by the old one. To implement the framework electrical appliances such as lights, fans, ac etc are incorporated within the proposed system of reduction of electricity consumption

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 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 System analysis of power consumption by nonferrous metallurgy enterprises on the basis of rank modeling of individual technocenosis castes

2018 ◽  
Vol 226 ◽  
pp. 04018 ◽  
Author(s):  
Roman V. Klyuev ◽  
Igor I. Bosikov ◽  
Oksana A. Gavrina ◽  
Vladimir Ch. Revazov
Keyword(s):  
Power Consumption ◽  
Electric Power ◽  
Ferrous Metallurgy ◽  
Relative Error ◽  
System Analysis ◽  
Electricity Consumption ◽  
Automated System ◽  
Electric Power Consumption ◽  
Process Equipment ◽  
Industrial Enterprises

To increase energy efficiency at non-ferrous metallurgy enterprises, an integrated system approach for estimation of electricity consumption is needed. The paper presents the results of a rank analysis of the power consumption of individual castes of process equipment on the basis of an integrated energy survey of the enterprise. A methodology for constructing mathematical models for calculating and predicting electric power consumption for all castes of the ranked H-distribution of technocenosis has been developed. For the first time, according to the established regularity of the H-distribution, a mathematical model for predicting power consumption has been developed, including a quantitative analysis of the energy characteristics of consumers by individual castes of technocenosis. A retrospective check of the relative error in the prediction of electricity consumption showed that for the model it does not exceed 2%, which is significantly lower than the relative error of the prediction for a number of models of other types. The received model is recommended for use in the automated system of dispatching control of power consumption for the purposes of short-term forecasting of electric power consumption at industrial enterprises of non-ferrous metallurgy.

Fuzzy multi-objective location and routing problem

2020 ◽  
Vol 39 (3) ◽  
pp. 3259-3273
Author(s):  
Nasser Shahsavari-Pour ◽  
Najmeh Bahram-Pour ◽  
Mojde Kazemi
Keyword(s):  
Firefly Algorithm ◽  
High Reliability ◽  
Research Area ◽  
Nsga Ii ◽  
Location Routing Problem ◽  
Routing Problem ◽  
Location Allocation ◽  
Multi Objective ◽  
Location Routing ◽  
The Cost

The location-routing problem is a research area that simultaneously solves location-allocation and vehicle routing issues. It is critical to delivering emergency goods to customers with high reliability. In this paper, reliability in location and routing problems was considered as the probability of failure in depots, vehicles, and routs. The problem has two objectives, minimizing the cost and maximizing the reliability, the latter expressed by minimizing the expected cost of failure. First, a mathematical model of the problem was presented and due to its NP-hard nature, it was solved by a meta-heuristic approach using a NSGA-II algorithm and a discrete multi-objective firefly algorithm. The efficiency of these algorithms was studied through a complete set of examples and it was found that the multi-objective discrete firefly algorithm has a better Diversification Metric (DM) index; the Mean Ideal Distance (MID) and Spacing Metric (SM) indexes are only suitable for small to medium problems, losing their effectiveness for big problems.

Case Study—Failure Analysis of a Multiplexer

2016 ◽  
Author(s):  
Michael Woo ◽  
Marcos Campos ◽  
Luigi Aranda
Keyword(s):  
Failure Analysis ◽  
High Reliability ◽  
Component Failure ◽  
Root Cause ◽  
Knowing That ◽  
Cause Of Failure ◽  
The Cost

Abstract A component failure has the potential to significantly impact the cost, manufacturing schedule, and/or the perceived reliability of a system, especially if the root cause of the failure is not known. A failure analysis is often key to mitigating the effects of a componentlevel failure to a customer or a system; minimizing schedule slips, minimizing related accrued costs to the customer, and allowing for the completion of the system with confidence that the reliability of the product had not been compromised. This case study will show how a detailed and systemic failure analysis was able to determine the exact cause of failure of a multiplexer in a high-reliability system, which allowed the manufacturer to confidently proceed with production knowing that the failure was not a systemic issue, but rather that it was a random “one time” event.

scholarly journals Characteristics of the cost of electricity consumption in agricultural production

2021 ◽  
Vol 677 (3) ◽  
pp. 032087
Author(s):  
G S Kudryashev ◽  
A N Tretyakov ◽  
S V Batishchev ◽  
V A Bochkarev ◽  
V D Ochirov
Keyword(s):  
Agricultural Production ◽  
Electricity Consumption ◽  
Cost Of Electricity ◽  
The Cost
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