Puna cena električne energije proizvedene iz lignita u Srbiji

2021 ◽  
Vol XXIII (4) ◽  
pp. 38-44
Author(s):  
Ilija Batas Bjelić ◽  
◽  
Dejan Molnar ◽  
Keyword(s):  
Power Plants ◽  
Thermal Power ◽  
The State ◽  
Electricity Production ◽  
The Public ◽  
Hydropower Plants ◽  
Income Statement ◽  
Homogeneous Product ◽  
Public Company ◽  
The Cost

The main goal of this research is to alocate costs by type to cost bearers. Two basic bearers of costs have been defined in the public electricity company in Serbia (hereinafter referred to as the company), although it is a homogeneous product: 1. electricity from lignite thermal power plants and 2. electricity from hydropower plants. In that sense, we have carried out a set of procedures through which the costs per unit of product were incurred (in this case, the unit of production is 1 MWh of electricity). First, on the basis of the costs that the company records in its income statements during 2017, 2018 and 2019, it is estimated how much expenditure the company has and bears, i.e. the state (since it is a public company) for the production of 1MWh. Then, the cost price was "upgraded" with those expenses that are "not seen" directly in the company's income statement, but are paid by society and the state in other ways. In this way, based on available data, we determined the cost of 1MWh of electricity produced from lignite for Serbian citizens today, and estimated how much it could cost in the near future, when access to electricity production based on unfair competition based on neglecting health costs and effects global warming.

scholarly journals Method of estimation of annual risk from breaks, fires and explosions on the basis of state graphs in electrolysis plants

2019 ◽  
Vol 11 (4) ◽  
pp. 305-310
Author(s):  
R. Z. Aminov ◽  
E. Yu. Burdenkova ◽  
A. V. Portyankin
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Linear Equations ◽  
The State ◽  
State Graph ◽  
Explosion Hazard ◽  
Equipment Failures ◽  
State Breakdown ◽  
The Cost ◽  
Annual Risk

A method is presented for estimating the possible annual risk that a hydrogen superstructure at a nuclear power plant (NPP) may have in the production of explosive hydrogen. With the observance of safety rules in terms of receiving, storing, transporting and using hydrogen, it is possible to minimize the occurrence of fi re and explosion hazard situations on the hydrogen superstructure. Scheduled repair and overhauls with all diagnostics reduce emergencies and equipment failures in the same way. However, there is a likelihood for the equipment to be found in an abnormal state (breakdown, fi re and explosion) as a result of hydrogen leaks. Depressurization of equipment with leakage of explosive hydrogen in enclosed spaces concurrently with adverse attendant factors may lead to the destruction of the electrolysis plant due to fi re and explosion. With the help of the state graph, the probabilities of a failure of electrolysis equipment because of unplanned breakdowns and possible fi res or explosions indoors due to depressurization of equipment are estimated. To this effect, possible scenarios of breakdowns of the electrolyzer in one and two workshops are considered. In the calculations of the state graph, a system of linear equations was composed for steady-state values only. The calculations have shown that for a configuration involving two electrolysis plants, the possible annual risk would increase. Minimizing the annual risk can be achieved through boosting the capacity of the electrolysis plant still in operation by increasing its productivity in hydrogen and oxygen. The effect will only be achieved if the cost of electricity from nuclear power plants is kept within 0.81 rubles/(kW·h) with a peak electricity tariff at 3.5 rubles/(kW·h).

scholarly journals Short–Term Planning of Hybrid Power System

2016 ◽  
Vol 67 (4) ◽  
pp. 234-245 ◽  
Author(s):  
Goran Knežević ◽  
Zoran Baus ◽  
Srete Nikolovski
Keyword(s):  
Power System ◽  
Power Plants ◽  
Thermal Power ◽  
Optimization Process ◽  
Thermal Power Plants ◽  
Short Term ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Hydropower Plants ◽  
Pumped Storage

Abstract In this paper short-term planning algorithm for hybrid power system consist of different types of cascade hydropower plants (run-of-the river, pumped storage, conventional), thermal power plants (coal-fired power plants, combined cycle gas-fired power plants) and wind farms is presented. The optimization process provides a joint bid of the hybrid system, and thus making the operation schedule of hydro and thermal power plants, the operation condition of pumped-storage hydropower plants with the aim of maximizing profits on day ahead market, according to expected hourly electricity prices, the expected local water inflow in certain hydropower plants, and the expected production of electrical energy from the wind farm, taking into account previously contracted bilateral agreement for electricity generation. Optimization process is formulated as hourly-discretized mixed integer linear optimization problem. Optimization model is applied on the case study in order to show general features of the developed model.

scholarly journals Functional Features of National Thermal Power Plantsunder Sustainable Development Conditions

2018 ◽  
Keyword(s):  
Sustainable Development ◽  
Electricity Generation ◽  
Power Plants ◽  
Thermal Power ◽  
Market Model ◽  
Electricity Production ◽  
Thermal Power Plants ◽  
The Sustainable Development ◽  
Energy Independence ◽  
Functional Features

The paper is devoted to analysis of functional peculiarities of thermal power plants in Ukraine. In the course of the study, key determinants of the sustainable development of domestic electricity generation were identified in the context of transition to a new market model. The preconditions of activation and support of the sustainable development concept implementation process in the modern business practice of the energy sector enterprises within the Ukrainian economy are outlined. The theoretical and practical bases for ensuring the sustainable development of energy in relation to other United Nations Declarations of Sustainable Development are indicated. The comparative estimation of the efficiency level of state policy in scope of energy independence and resource conservation with the use of a complex indicator of GDP energy intensity is given. On the basis of international and domestic statistical data the dynamics of volumes of electricity production in Ukraine for the period of 1990-2017 as well as the structure of electricity generation by type of generation were analyzed. The dynamics of electric power generation in Ukraine by types of raw materials was presented in complex with the dynamics of coal consumption and production for the corresponding period. The peculiarities of thermal power plants functioning in comparison with other power generating enterprises in modern conditions are specified. The key element of Ukraine’s energy independence – the volume of proven coal reserves – is a prerequisite for the efficient functioning of domestic thermal power plants. The pricing features in the sphere of electricity production and sales are outlined, in particular, the structure of market rate and the price of electricity sales by producers to the Wholesale Market are presented. The significance of the innovation factor in the process of improving the efficiency of thermal power plants functioning has been substantiated, taking into account the economic, social and environmental aspects of their production and economic activity.

scholarly journals Comparison of the most likely low-emission electricity production systems in Estonia

2021 ◽  
Author(s):  
Zachariah Baird ◽  
Dmitri Neshumayev ◽  
Oliver Järvik ◽  
Kody M. Powell
Keyword(s):  
Energy Storage ◽  
Wind Turbines ◽  
Nuclear Power ◽  
Oil Shale ◽  
Power Plants ◽  
Thermal Power ◽  
Carbon Capture And Storage ◽  
Electricity Production ◽  
Levelized Cost Of Electricity ◽  
Low Emission

To meet targets for reducing greenhouse gas emissions, many countries, including Estonia, must transition to low-emission electricity sources. Based on current circumstances, the most likely options in Estonia are renewables with energy storage, oil shale power plants with carbon capture and storage (CCS), or the combination of renewables and either oil shale or nuclear power plants. Here we compare these different scenarios to help determine which would be the most promising based on current information. For the comparison we performed simulations to assess how various systems meet the electricity demand in Estonia and at what cost.Based on our simulation results and literature data, combining wind turbines with thermal power plants would provide grid stability at a more affordable cost. Using nuclear power to compliment wind turbines would lead to an overall levelized cost of electricity (LCOE) in the range of 68 to 150 EUR/MWh (median of 103 EUR/MWh). Using oil shale power plants with CCS would give a cost between 91 and 163 EUR/MWh (median of 118 EUR/MWh). By comparison, using only renewables and energy storage would have an LCOE of 106 to 241 EUR/MWh (median of 153 EUR/MWh).

scholarly journals Prioritizing Energy Sources to Generate Electricity (Application of Fuzzy Logic)

2015 ◽  
Vol 10 (2) ◽  
pp. 414-421
Author(s):  
Bahareh Hashemlou ◽  
Hossein Sadeghi ◽  
Arashk Masaeli ◽  
Mohammadhadi Hajian ◽  
Shima Javaheri
Keyword(s):  
Natural Gas ◽  
Energy Demand ◽  
Power Plants ◽  
Fossil Fuels ◽  
Electrical Energy ◽  
Electricity Production ◽  
Fuzzy Preference Relations ◽  
Safety And Reliability ◽  
The Cost ◽  
Day By Day

Organizations, institutions, and different sectors of manufacturing, services and agriculture are constantly making decisions. Each of the aforementioned sectors, have strategies, tactics, and various functions that play a basic role in reaching the objectives. On the other hand, energy demand in developing countries is increasing day by day. The exact calculation of the cost per unit of electricity generated by power plants is not easy. Therefore, this study according to four sources of natural gas, nuclear energy, renewable energy and other fossil fuels other than natural gas that are used in a variety of electricity production plants is trying to clarify the ranking of generation electricity approach using "fuzzy preference relations" analysis. Accordingly, three models were used and the results showed that natural gas, with regard to the four criteria of low investment cost, low power, lack of pollution and the safety and reliability of electrical energy has priority over other alternatives. Full preferred model results also suggested that the energy of natural gas, renewable energies, nuclear and other fossil fuels should be considered in a priority for power generation. Sensitivity analysis results moreover demonstrated that the above models are not affected by the threshold values ​​and the full stability of the models is observed.

scholarly journals Aggregate estimation of investments in power plant units using a parametric power function

2020 ◽  
pp. 123-138
Author(s):  
Pavel Shchinnikov ◽  
◽  
Alina Frantseva ◽  
Ivan Sadkin ◽  
◽  
...  
Keyword(s):  
Power Plant ◽  
Power Function ◽  
Capital Investment ◽  
Power Plants ◽  
Thermal Power ◽  
Thermodynamic Characteristics ◽  
Engineering System ◽  
Parametric Function ◽  
Aggregate Estimation ◽  
The Cost

In the course of designing new generating equipment for power plants and their thermal circuits, in the absence of information about their cost, analog indicators and/or expert assessments are used in the design practice. This approach allows us to compare various options if they can be brought to a comparable form and when the same type of equipment is used. When it is necessary to compare options that differ not only in the specified capacity, but also in the equipment configuration, a more accurate assessment of investment is required. The article proposes a method for estimating capital investment in power plants using a power parametric function. Capital investment is assessed for each unit of the power plant and its engineering system. A special feature of the approach is that the higher the cost of the unit is, the higher its thermodynamic characteristics, power, time of load use, etc. These factors are taken into account by the exponent in the power function. In addition, the correction coefficients take into account the configuration of the equipment, its climatic design, and configuration features. The combination of factors that are taken into account in the power function makes it possible to obtain an estimate of the cost of equipment in different versions. The uniformity of the problem statement makes it possible to apply the approach both to design tasks and to scientific and applied tasks of comparing the existing, newly developed and promising technologies. This paper presents the updating and development of the method developed in previous years at the department of thermal power plants of NSTU. Equations for determining investment in the main units and technical systems of power plants are presented. Estimates of investment in power plants currently under construction in Russia are made. It is shown that investment in power plants in Russia is 20-50% lower than in the USA and Europe, and 20-30% higher than in China.

scholarly journals The state of the air environment and ways of its normalization in the main buildings of thermal power plants with a capacity of 800 MW units

Gigiena truda ◽  
1985 ◽  
Vol 1985 (21) ◽  
pp. 96-101
Author(s):  
I. G. Tkacheva ◽  
◽  
S. P. Berezhnoe ◽  
V. S. Bykovsky ◽  
◽  
...  
Keyword(s):  
Power Plants ◽  
Thermal Power ◽  
The State ◽  
Thermal Power Plants

scholarly journals Optimal Scheduling of Large-Scale Wind-Hydro-Thermal Systems with Fixed-Head Short-Term Model

2020 ◽  
Vol 10 (8) ◽  
pp. 2964 ◽  
Author(s):  
Thang Trung Nguyen ◽  
Ly Huu Pham ◽  
Fazel Mohammadi ◽  
Le Chi Kien
Keyword(s):  
Power Plants ◽  
Search Algorithm ◽  
Thermal Power ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Optimal Scheduling ◽  
Thermal Power Plants ◽  
Short Term ◽  
Thermal Systems ◽  
Hydropower Plants

In this paper, a Modified Adaptive Selection Cuckoo Search Algorithm (MASCSA) is proposed for solving the Optimal Scheduling of Wind-Hydro-Thermal (OSWHT) systems problem. The main objective of the problem is to minimize the total fuel cost for generating the electricity of thermal power plants, where energy from hydropower plants and wind turbines is exploited absolutely. The fixed-head short-term model is taken into account, by supposing that the water head is constant during the operation time, while reservoir volume and water balance are constrained over the scheduled time period. The proposed MASCSA is compared to other implemented cuckoo search algorithms, such as the conventional Cuckoo Search Algorithm (CSA) and Snap-Drift Cuckoo Search Algorithm (SDCSA). Two large systems are used as study cases to test the real improvement of the proposed MASCSA over CSA and SDCSA. Among the two test systems, the wind-hydro-thermal system is a more complicated one, with two wind farms and four thermal power plants considering valve effects, and four hydropower plants scheduled in twenty-four one-hour intervals. The proposed MASCSA is more effective than CSA and SDCSA, since it can reach a higher success rate, better optimal solutions, and a faster convergence. The obtained results show that the proposed MASCSA is a very effective method for the hydrothermal system and wind-hydro-thermal systems.

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