DETERMINATION OF TECHNICAL AND ECONOMIC INDICATORS OF THERMAL POWER STATIONS DIRECTLY FROM THE TURBINE REGIME CHARACTERISTICS

Keywords: Thermal power plant; Ginter's triangle; physical method; tariffs; economic efficiency

Abstract

The distribution of costs for electricity and heat production is accomplished by a number of fairly conditional methods. Cost analysis and allocation must be carried out on the basis of objective technical and economic criteria. The application of a method is determined by the introduced regulatory frameworks, energy markets and the prices of energy products. There are two fundamental methods – "physical" and "exergy". The physical method is based on the distribution of costs, and the exergy on the second law of thermodynamics. The article reviews and analyzes the tariff policy of the Thermal power plant. Objective criteria have been identified to serve as a means of forecasting and controlling fuel consumption. The thermal efficiency of a Thermal power plant has been evaluated. A comparison was made with similar Thermal power plants. A fundamentally new approach is proposed to determine the main technical and economic criteria of the plant. The proposed method allows determining indicators that uniquely characterize the thermal and economic efficiency of the plant without the need for diversification of fuel costs

Downloads

Download data is not yet available.

Author Biography

Konstantin Kostov, Technical University of Sofia

Faculty of Engineering and Pedagogy of Sliven

References

Ribenboim, P. (1986). Some Fundamental Methods in the Theory of Diophantine Equations. Aspects of Mathematics and Its Applications, 635–663. doi: https://doi.org/10.1016/s0924-6509(09)70286-7

Brüdern, J., Dietmann, R. (2014). Random Diophantine equations, I. Advances in Mathematics, 256, 18–45. doi: https://doi.org/10.1016/j.aim.2014.01.017

Tubolev, A., Romashova, O., Belyaev, L. (2016). Cost Price of Products in the System of Heat, Refrigeration and Electric Energy Production Combined at Thermal Power Plant. MATEC Web of Conferences, 72, 01116. doi: https://doi.org/10.1051/matecconf/20167201116

Zharkov, S. (2007). Fuel consumption separation for heat and electricity produced by TEC. Gas Turbine Technologies, 11, 34–40.

Koryakin, Y. I., Loginov, A. A., Chernyaev, V. A. (1970). Methodological aspects of technico-economic parameters of nuclear desalination plants. Desalination, 7 (3), 323–342. doi: https://doi.org/10.1016/s0011-9164(00)80205-2

Catrini, P., Cipollina, A., Micale, G., Piacentino, A., Tamburini, A. (2017). Exergy analysis and thermoeconomic cost accounting of a Combined Heat and Power steam cycle integrated with a Multi Effect Distillation-Thermal Vapour Compression desalination plant. Energy Conversion and Management, 149, 950–965. doi: https://doi.org/10.1016/j.enconman.2017.04.032

Tamburini, A., Cipollina, A., Micale, G., Piacentino, A. (2016). CHP (combined heat and power) retrofit for a large MED-TVC (multiple effect distillation along with thermal vapour compression) desalination plant: high efficiency assessment for different design options under the current legislative EU framework. Energy, 115, 1548–1559. doi: https://doi.org/10.1016/j.energy.2016.03.066

Piacentino, A. (2015). Application of advanced thermodynamics, thermoeconomics and exergy costing to a Multiple Effect Distillation plant: In-depth analysis of cost formation process. Desalination, 371, 88–103. doi: https://doi.org/10.1016/j.desal.2015.06.008

Sukhareva, E. (2015). Cost allocation methods when forming cost of energy for CHP. Transport business in Russia, 2, 43–45.

Lisin, E. M., Stepanova, T. M., Zhovtiak, P. G. (2017). Investigation of the effect of cost allocation methods on the competitiveness of CHP plants in energy markets. St. Petersburg State Polytechnical University Journal. Economics, 256 (6), 148–158. doi: https://doi.org/10.5862/je.256.13

Franco, A., Bellina, F. (2018). Methods for optimized design and management of CHP systems for district heating networks (DHN). Energy Conversion and Management, 172, 21–31. doi: https://doi.org/10.1016/j.enconman.2018.07.009

Franco, A., Versace, M. (2017). Multi-objective optimization for the maximization of the operating share of cogeneration system in District Heating Network. Energy Conversion and Management, 139, 33–44. doi: https://doi.org/10.1016/j.enconman.2017.02.029

Ege, A., Şahin, H. M. (2014). Determination of uncertainties in energy and exergy analysis of a power plant. Energy Conversion and Management, 85, 399–406. doi: https://doi.org/10.1016/j.enconman.2014.05.088


Abstract views: 22
PDF Downloads: 11
Published
2020-07-24
How to Cite
Kostov, K. (2020). DETERMINATION OF TECHNICAL AND ECONOMIC INDICATORS OF THERMAL POWER STATIONS DIRECTLY FROM THE TURBINE REGIME CHARACTERISTICS. EUREKA: Physics and Engineering, (4), 51-59. https://doi.org/10.21303/2461-4262.2020.001358
Section
Engineering