scholarly journals Statistical Methods in the Study of Changes in the Structure and Elements of the Cost of Electricity Generation

Vestnik NSUEM ◽  
2019 ◽  
pp. 286-303
Author(s):  
V. N. Afanasyev
Keyword(s):  
Statistical Methods ◽  
Electricity Generation ◽  
Causal Analysis ◽  
Cost Structure ◽  
Electricity Production ◽  
Electricity Prices ◽  
Cost Of Electricity ◽  
Economic Entity ◽  
The Russian Federation ◽  
The Cost

The growth of tariffs and prices in the Russian Federation is largely determined by the growth of electricity prices. Need to know why electricity is becoming more expensive. The article presents the analysis of the system of statistical methods used in the study of changes in the structure and elements of the cost of electricity production. Statistical tools are being discussed to identify and measure the factors behind the rise in electricity prices, and to conduct a detailed causal analysis. Special emphasis is placed on statistical technologies used in the study of changes in individual elements and the cost structure as a whole. Special emphasis is placed on statistical technologies used in predicting changes in individual elements and the cost structure as a whole. The main goal of such a forecast is to develop a strategy for the behavior of the economic entity and formulate of its activity plan.

scholarly journals The Effects of Electricity Sources on the Cost of Electricity in Panama

2021 ◽  
Vol 9 (1) ◽  
pp. p64
Author(s):  
Alfredo De La Guardia ◽  
Kemo Badiane
Keyword(s):  
Regression Analysis ◽  
Marginal Cost ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Central American ◽  
Electricity Production ◽  
Hydroelectric Power ◽  
Electricity Prices ◽  
Cost Of Electricity ◽  
The Cost

The purpose of this study is to identify which electricity production sources have a significant effect on the marginal cost of electricity in Panama. Panama, like most Central American countries, relies on hydroelectric power, thermoelectric power and electricity purchases. We only collected secondary data provided by the official entities in order to ensure that the numbers used for the study were consistent. Linear regression analysis was used to find the model that describes the behavior of the marginal cost more accurately. The findings of the study confirm the need for less oil-dependent electricity production alternatives in order to achieve lower electricity prices in Panama.

The competitiveness of nuclear energy in an era of liberalized markets and restrictions on greenhouse-gas emissions

2009 ◽  
pp. 37-62
Author(s):  
Luigi De Paoli ◽  
Francesco Gulli
Keyword(s):  
Electricity Markets ◽  
Electricity Generation ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Energy ◽  
Fossil Fuels ◽  
Levelized Cost Of Electricity ◽  
Cost Of Electricity ◽  
Generation Costs ◽  
The Cost

- The debate on the benefits of nuclear energy revolves around the very competitiveness of this energy source. This article tries to show why it is not easy to answer unambiguously the question whether or not it is convenient to resort to nuclear power in a given country. After listing the factors on which the cost of electricity generation rests and discussing the range of probability of their value, the levelized cost of electricity generation from nuclear, coal and gas-fired plants is calculated using the Monte Carlo method. The results show that nuclear power is likely to be competitive, especially if policies to combat CO2 emissions will continue in the coming decades. There are, however, some margins of uncertainty, mainly related, to the one hand, to the cost of nuclear plants, that depends on the socio-institutional context, and on the other, to the fossil fuels cost, that are inherently difficult to anticipate even on average. Finally it is noted that the context of liberalized electricity markets may make it more difficult for investors to accept the risk of investing in nuclear power plants and for the community to socialize some of the costs associated with this technology.Key words: Nuclear energy, generation costs, Montecarlo method, environmental impacts.JEL classifications: G11, H23, L72, L94, Q31, Q40

Analysis of Grain Production in the Industrial Management System of EurAsEC Countries

2019 ◽  
Vol 9 (8) ◽  
pp. 1813
Author(s):  
Zauresh TUYAKOVA ◽  
Gulmira SARSEMBAEVA ◽  
Gulnara DYUZELBAEVA ◽  
Viktor KUKHAR
Keyword(s):  
Production Efficiency ◽  
Management Accounting ◽  
Accounting System ◽  
Grain Production ◽  
Industrial Management ◽  
Economic Entity ◽  
Economic Experience ◽  
The Russian Federation ◽  
The Republic ◽  
The Cost

This article presents the results of analysis of the grain industry state of the Russian Federation and the Republic of Kazakhstan in comparison with the forecast and actual changes in the volumes of world production and sale of grain. A comparative analysis of the gross grain harvest and its structure, the dynamics of planting areas changes and the yield of wheat, as well as the structure of grain production prime cost, was carried out using the example of the most typical regions bordering each other - the Orenburg and Kostanay regions. The management accounting system, in particular its production accounting subsystem, is adapted to the conditions of a particular enterprise, which must be developed on the basis of management goals and capabilities. It should be noted that all the basic elements of management accounting were widely used in domestic practice. However, the lack of interest of workers in improving production efficiency did not allow to obtain the proper effect from the use of these elements. The generalization of European and domestic economic experience allows us to conclude that management accounting currently allows successfully implement the functions of accounting, planning, control and regulation of the cost of production - one of the most important indicators of the economic entity.

A Method of Calculating the Social Cost of “Clean” Electricity

1995 ◽  
Vol 6 (2) ◽  
pp. 135-141
Author(s):  
Nissim Ben-Aderet ◽  
David Soloveitchik
Keyword(s):  
Electricity Generation ◽  
Production Cost ◽  
Social Cost ◽  
Social Benefit ◽  
Cost Of Electricity ◽  
Clean Technologies ◽  
The Social ◽  
The Cost

This article presents a methodology and estimation of the social benefit of using “clean” technologies of electricity generation. The methodology is based on the margin production cost of electricity and on the avoided pollution cost. The results obtained from our study enable us to estimate the payment to the “clean” electricity producers using the avoided cost methodology. The results show that the social cost for 1 kWh produced by “clean” technologies is higher by 5% than the cost of 1 kwh produced by the mix of the conventional technologies for electricity generation of the same demand level.

New Mechanism to Improve the Competence of Power Generation

2016 ◽  
Vol 852 ◽  
pp. 575-581
Author(s):  
Adapala Bharathkumar ◽  
M.S. Alphin ◽  
M. Selvaraj
Keyword(s):  
Power Generation ◽  
Solar Energy ◽  
Thermal Energy ◽  
Electricity Generation ◽  
Electrical Energy ◽  
Cost Of Electricity ◽  
The Cost ◽  
Energy From Waste

This paper is regarding the reduction in the cost of electricity generation. This is achieved by using the proposed new mechanics/mechanism/machines as an intermediate, in the process of converting the source energy (Both Conventional Sources of Energy and Non-Conventional Sources of Energy, mainly solar energy and thermal energy from waste or the electricity itself) to electrical energy at truncated charge.

Optimizing a New Configuration of a Proton Exchange Membrane Fuel Cell Cycle With Burner and Reformer Through a Particle Swarm Optimization Algorithm for Residential Applications

2019 ◽  
Vol 16 (4) ◽  
Author(s):  
Mehdi Yousefi ◽  
M. A. Ehyaei ◽  
Marc A. Rosen
Keyword(s):  
Particle Swarm Optimization ◽  
Fuel Cell ◽  
Electricity Generation ◽  
Water Flow Rate ◽  
Particle Swarm ◽  
Exergy Efficiency ◽  
Proton Exchange ◽  
Swarm Optimization ◽  
Cost Of Electricity ◽  
The Cost

Abstract The energy, exergy, and economic aspects are analyzed of a cycle consisting of a polymer fuel cell, a burner, a reformer, and a heat exchanger. Water is used for cooling the fuel cell, and the heated water is used for domestic consumption. The exergy and energy efficiencies of the cycle are calculated, and the effects of various cycle parameters on the exergy and energy efficiencies are investigated. To maximize the exergy efficiency while minimizing the cost of electricity generation by the fuel cell, the particle swarm optimization (PSO) algorithm is utilized. The results show that increasing the cooling water flow rate has the greatest effect on increasing the energy efficiency of the cycle, while increasing the burner temperature has the greatest effect on increasing the exergy efficiency of the cycle. Moreover, it is shown via multi-objective optimization of the proposed cycle that the exergy efficiency of the cycle increases by 31% and the cost of electricity generation decreases by 18% by applying optimized parameters.

scholarly journals Optimal Selection of Integrated Electricity Generation Systems for the Power Sector with Low Greenhouse Gas (GHG) Emissions

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4571
Author(s):  
Adeel Arif ◽  
Muhammad Rizwan ◽  
Ali Elkamel ◽  
Luqman Hakeem ◽  
Muhammad Zaman
Keyword(s):  
Co2 Emissions ◽  
Electricity Generation ◽  
Carbon Capture ◽  
Power Plants ◽  
Mixed Integer ◽  
Co2 Mitigation ◽  
Power Sector ◽  
Carbon Capture And Sequestration ◽  
Cost Of Electricity ◽  
The Cost

Cheap and clean energy demand is continuously increasing due to economic growth and industrialization. The energy sectors of several countries still employ fossil fuels for power production and there is a concern of associated emissions of greenhouse gases (GHG). On the other hand, environmental regulations are becoming more stringent, and resultant emissions need to be mitigated. Therefore, optimal energy policies considering economic resources and environmentally friendly pathways for electricity generation are essential. The objective of this paper is to develop a comprehensive model to optimize the power sector. For this purpose, a multi-period mixed integer programming (MPMIP) model was developed in a General Algebraic Modeling System (GAMS) to minimize the cost of electricity and reduce carbon dioxide (CO2) emissions. Various CO2 mitigation strategies such as fuel balancing and carbon capture and sequestration (CCS) were employed. The model was tested on a case study from Pakistan for a period of 13 years from 2018 to 2030. All types of power plants were considered that are available and to be installed from 2018 to 2030. Moreover, capacity expansion was also considered where needed. Fuel balancing was found to be the most suitable and promising option for CO2 mitigation as up to 40% CO2 mitigation can be achieved by the year 2030 starting from 4% in 2018 for all scenarios without increase in the cost of electricity (COE). CO2 mitigation higher than 40% by the year 2030 can also be realized but the number of new proposed power plants was much higher beyond this target, which resulted in increased COE. Implementation of carbon capture and sequestration (CCS) on new power plants also reduced the CO2 emissions considerably with an increase in COE of up to 15%.

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