Ryszard Bartnik

Conversion of Coal-Fired Power Plants to Cogeneration and Combined-Cycle

1. Introduction.- 2. Selection of Optimal Heating Structures for Modernization of Coal-Fired Power Stations to Cogeneration.- 3. Mathematical Model of a Power Unit with Rated Capacity of 370 MW After Its Modernization to Cogeneration and Combined-Cycle.- 4. Algorithm for the Calculation of an Optimum Structure of Heat Exchangers for the Modernization of a 370 MW Power Unit to Combined Heat and Power Cycle.- 5. Testing Calculations of the Mathematical Model of a Power Unit.- 6. Thermodynamic Analysis of a Combined Heat and Power Unit Using Extractions A2, A3 and Crossoverpipe IP-LP for Heater Supply.- 7. Economic Efficiency of a Power Unit Adapted to Cogeneration.- 8. Technical and Economical Effectiveness of Modernization 370 MW Power Unit Repowered by Gas Turbine with Their Modernization to Cogeneration.- 9. Technical and Economical Effectiveness of 370 MW Power Unit Repowered by Gas Turbine in Parallel System.- 10. Summary and Final Conclusions.

Investment Strategy in Heating and CHP

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Continuous Time Methodology and Mathematical Models in Search of Optimum Investment Strategy in Thermal Plants and Combined Heat and Power Plants

price are net prices, subject to local VAT. Prices indicated with * include VAT for books; the €(D) includes 7% for Germany, the €(A) includes 10% for Austria. Prices indicated with ** include VAT for electronic products; 19% for Germany, 20% for Austria. All prices exclusive of carriage charges. Prices and other details are subject to change without notice. All errors and omissions excepted. R. Bartnik, Z. Buryn, A. Hnydiuk-Stefan Investment Strategy in Heating and CHP

Technical and Economical Effectiveness of Modernization 370 MW Power Unit Repowered by Gas Turbine with their Modernization to Cogeneration

This chapter presents an original continuous time methodology and mathematical models applied for analyzing the effectiveness of technical and economic aspects of the operation of heat and electricity sources.

Continuous Time Methodology and Mathematical Models for the Analysis of the Market Value of Thermal Plant and Heat and Power Plant and the Value of the Market Supplied by Them

This chapter presents thermodynamic and economic analysis of electric power unit with the rated capacity of 370 MW operating in a combined-cycle, which is repowered by a gas turbine in a parallel system with dual-pressure heat recovery steam generator and concurrently working in a cogeneration for steam feeding from extractions A2 and A3 in the steam turbine and LP-IP crossoverpipe. These calculations apply the mathematical model of the unit presented in Chap. 3 and Stodola-Flugel turbine passage equations for the steam turbine from Chap. 4, which illustrate the variable concentration of steam stream passing through it as a result of repowering the unit by a gas turbine and variable steam extraction for district heating purposes. In the exemplary calculations referred to an assumption is made about the value of a thermal power and its qualitative regulation as presented in Chap. 6. The economic analysis applies the methodology in Chap. 2.

Continuous Time Methodology and Mathematical Model for Analysis of Technical and Economic Effectiveness of Modernizing a Thermal Plant and Combined Heat and Power Plant

This chapter presents an original continuous time methodology and mathematical models applied for the analysis of the market value of a thermal plant and combined heat and power plant and the value of the market supplied by them.

Strategy of investment in electricity sources--Market value of a power plant and the electricity market

This chapter presents an original continuous time methodology and mathematical model for analysis of technical and economic effectiveness of modernizing an existing thermal plant and combined heat and power plant.

Value of the Heat and Electricity Market and Market Worth of Power Stations and Heat and Power Plants Supplying the Market

This paper reports the results of the investment strategy analysis in different electricity sources. New methodology and theory of calculating the market value of the power plant and value of the electricity market supplied by it are presented. The financial gain forms the most important criteria in the assessment of an investment by an investor. An investment strategy has to involve a careful analysis of each considered project in order that the right decision and selection will be made while various components of the projects will be considered. The latter primarily includes the aspects of risk and uncertainty. Profitability of an investment in the electricity sources (as well as others) is offered by the measures applicable for the assessment of the economic effectiveness of an investment based on calculations e.g. power plant market value and the value of the electricity that is supplied by a power plant. The values of such measures decide on an investment strategy in the energy sources. This paper contains analysis of exemplary calculations results of power plant market value and the electricity market value supplied by it.

A formulate of problem of seeking an optimum investment strategy in power engineering

Presented is a specific methodology based on continuous time recording, of the heat and electric energy market value complex analysis as well as of the market value determination of the being sold (under privatization) power stations and CHP plants and the newly built energy sources. The essence of the market value method consists in implementing not only the future cash flows into the discount account but also the so-called relative market value. The market value methodology allows the investor to calculate the total profit that would be gained from a power plant operation, discounted return period of financial resources invested by him into the purchase of the existing ones or building of new energy sources as well as to calculate the interest rate that will be brought by the capital invested into the sources.

Comparison of Specific Cost of Producing Electricity in a 370 MW Power Unit Adapted to Dual–Fuel Gas–Steam System and in a New One Operating Under Supercritical Parameters

The applied energy technology and its technical solution is decisive for the value of an investment (J0) for building an energy source (generally it can be a source of electric energy and heat). So it determines the amount of financial costs (F) and loan installment (R) in its annual activity costs in successive years (t = 1, 2, …N) together with energy carriers prices and specific charges for emitting pollutants to the environment it also determines annual revenues (SA) and yearly operating costs i.e. the Net Present Value (NPV). Thus the optimum investment strategy for selecting the technology will be this one for which the calculated NPV value, with the application of Bellman’s principle of optimality and in particular Pontryagin’s maximum principle, reaches its maximum with the assumed value of Ne1 electrical capacity of a power station. Attention should be paid to the fact that all investment decisions are the long-term ones so integrally connected with the risk of failure. Influence of time and the risk connected is very difficult and, as it is mentioned before, almost impossible to predict—especially in unstable economic conditions. But this instability does not release any investor from the duty to search for an optimum investment strategy as this search enables the investor to undertake an analysis on the basis of scientific forecasts. It allows thinking about it in a scientific manner and an analysis of conditions like changes in price relations between energy carriers or costs of utilizing the environment and so on, with which the strategy should be changed. So, the maximum functionality search results show how the mentioned price relations and environmental tariffs influence the optimum investment strategy i.e. the selection of an optimum energy technology. Besides, one of the methods of minimizing the risk can involve diversification of applied technologies. This means that it is necessary to discuss available technology options. As a consequence, one can rationally diversify the processes so as to make a choice among the most economically effective ones. Also, what is very important, the safety of electricity supplies will grow. So the application of mathematical models in economy and their analysis with the use of assumed scenarios allows a rational selection of investment strategies enabling achievement in the nearest future of the desirable values in an optimum way.